CODEBOOK GSS Cumulative Datafile 1972-1998 ________________________________________________________________________ GSS Cumulative Datafile 1972-1998 Page i CONTENTS item page CASEID Case identification number 1 year GSS YEAR FOR THIS RESPONDENT 1 id RESPONDENT ID NUMBER 1 wrkstat LABOR FRCE STATUS 1 hrs1 NUMBER OF HOURS WORKED LAST WEEK 2 hrs2 NUMBER OF HOURS USUALLY WORK A WEEK 2 evwork EVER WORK AS LONG AS ONE YEAR 2 occ RS CENSUS OCCUPATION CODE (1970) 3 prestige RS OCCUPATIONAL PRESTIGE SCORE (1970) 3 wrkslf R SELF-EMP OR WORKS FOR SOMEBODY 3 wrkgovt GOVT OR PRIVATE EMPLOYEE 4 commute TRAVEL TIME TO WORK 4 industry RS INDUSTRY CODE (1970) 4 occ80 RS CENSUS OCCUPATION CODE (1980) 5 prestg80 RS OCCUPATIONAL PRESTIGE SCORE (1980) 5 indus80 RS INDUSTRY CODE (1980) 5 marital MARITAL STATUS 6 agewed AGE WHEN FIRST MARRIED 6 divorce EVER BEEN DIVORCED OR SEPARATED 6 widowed EVER BEEN WIDOWED 7 spwrksta SPOUSE LABOR FORCE STATUS 7 sphrs1 NUMBER OF HRS SPOUSE WORKED LAST WEEK 8 sphrs2 NO. OF HRS SPOUSE USUALLY WORKS A WEEK 8 spevwork SPOUSE EVER WORK AS LONG AS A YEAR 8 spocc SPOUSE CENSUS OCCUPATION CODE (1970) 9 sppres SPOUSES OCCUPATIONAL PRESTIGE SCORE (1970) 9 spwrkslf SPOUSE SELF-EMP. OR WORKS FOR SOMEBODY 9 spind SPOUSES INDUSTRY CODE (1970) 10 spocc80 SPOUSE CENSUS OCCUPATION CODE (1980) 10 sppres80 SPOUSES OCCUPATIONAL PRESTIGE SCORE (1980) 10 spind80 SPOUSES INDUSTRY CODE (1980) 10 paocc16 FATHERS CENSUS OCCUPATION CODE (1970) 11 papres16 FATHERS OCCUPATIONAL PRESTIGE SCORE (1970) 11 pawrkslf FATHER SELF-EMP. OR WORKED FOR SOMEBODY 11 paind16 FATHERS INDUSTRY CODE (1970) 12 paocc80 FATHERS CENSUS OCCUPATION CODE (1980) 12 papres80 FATHERS OCCUPATIONAL PRESTIGE SCORE (1980) 12 paind80 FATHERS INDUSTRY CODE (1980) 13 maocc80 MOTHERS CENSUS OCCUPATION CODE (1980) 13 mapres80 MOTHERS OCCUPATIONAL PRESTIGE SCORE (1980) 13 mawrkslf MOTHER SELF-EMP. OR WORKED FOR SOMEBODY 14 maind80 MOTHERS INDUSTRY CODE (1980) 14 sibs NUMBER OF BROTHERS AND SISTERS 14 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page ii item page childs NUMBER OF CHILDREN 15 age AGE OF RESPONDENT 15 agekdbrn R'S AGE WHEN 1ST CHILD BORN 15 educ HIGHEST YEAR OF SCHOOL COMPLETED 16 paeduc HIGHEST YEAR SCHOOL COMPLETED, FATHER 16 maeduc HIGHEST YEAR SCHOOL COMPLETED, MOTHER 16 speduc HIGHEST YEAR SCHOOL COMPLETED, SPOUSE 17 degree RS HIGHEST DEGREE 17 padeg FATHERS HIGHEST DEGREE 18 madeg MOTHERS HIGHEST DEGREE 19 spdeg SPOUSES HIGHEST DEGREE 20 sex RESPONDENTS SEX 20 race RACE OF RESPONDENT 21 res16 TYPE OF PLACE LIVED IN WHEN 16 YRS OLD 21 reg16 REGION OF RESIDENCE, AGE 16 22 mobile16 GEOGRAPHIC MOBILITY SINCE AGE 16 22 family16 LIVING WITH PARENTS WHEN 16 YRS OLD 23 famdif16 REASON NOT LIVING WITH PARENTS 23 mawork MOTHERS EMPLOYMENT SINCE MARRIAGE 24 mawkbaby MOTHERS EMPLOYMENT BEFORE FIRST GRADE 24 mawkborn MOTHERS EMPLOYMENT AFTER R WAS BORN 25 mawk16 MOTHERS EMPLOYMENT WHEN R WAS 16 25 mawrkgrw MOTHERS EMPLOYMENT WHEN R GROWING UP 26 incom16 RS FAMILY INCOME WHEN 16 YRS OLD 26 born WAS R BORN IN THIS COUNTRY 27 parborn WERE RS PARENTS BORN IN THIS COUNTRY 27 granborn HOW MANY GRANDPARENTS BORN OUTSIDE U.S. 28 hompop NUMBER OF PERSONS IN HOUSEHOLD 28 babies HOUSEHOLD MEMBERS LESS THAN 6 YRS OLD 28 preteen HOUSEHOLD MEMBERS 6 THRU 12 YRS OLD 29 teens HOUSEHOLD MEMBERS 13 THRU 17 YRS OLD 29 adults HOUSEHOLD MEMBERS 18 YRS AND OLDER 29 unrelat NUMBER IN HOUSEHOLD NOT RELATED 30 earnrs HOW MANY IN FAMILY EARNED MONEY 30 income TOTAL FAMILY INCOME 31 rincome RESPONDENTS INCOME 32 income72 TOTAL FAMILY INCOME 33 income77 TOTAL FAMILY INCOME 34 rincom77 RESPONDENTS INCOME 35 income82 TOTAL FAMILY INCOME 36 rincom82 RESPONDENTS INCOME 37 income86 TOTAL FAMILY INCOME 38 rincom86 RESPONDENTS INCOME 39 income91 TOTAL FAMILY INCOME 40 rincom91 RESPONDENTS INCOME 41 income98 TOTAL FAMILY INCOME 42 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page iii item page rincom98 RESPONDENTS INCOME 43 weekswrk WEEKS R. WORKED LAST YEAR 44 partfull WAS R'S WORK PART-TIME OR FULL-TIME? 44 region REGION OF INTERVIEW 45 xnorcsiz EXPANDED N.O.R.C. SIZE CODE 45 srcbelt SRC BELTCODE 46 size SIZE OF PLACE IN 1000S 46 dotdata D.O.T. CODE - RELATION TO DATA 46 dotpeop D.O.T. CODE - RELATION TO PEOPLE 46 dotthng D.O.T. CODE - RELATION TO THINGS 47 dotged D.O.T. CODE - GENERAL EDUC DEVELOP. 47 dotsvp D.O.T. CODE - SPECIFIC VOCAT. PREP 47 dotpres TEMME PRESTIGE SCALE 47 spdotdat SP. D.O.T. CODE - RELATION TO DATA 47 spdotpeo SP. D.O.T. CODE - RELATION TO PEOPLE 48 spdotthn SP. D.O.T. CODE - RELATION TO THINGS 48 spdotged SP. D.O.T. CODE - GENERAL EDUC DEVELOP. 48 spdotsvp SP. D.O.T. CODE - SPECIFIC VOCAT. PREP 48 spdotpre SP. TEMME PRESTIGE SCALE 48 padotdat FA. D.O.T. CODE - RELATION TO DATA 49 padotpeo FA. D.O.T. CODE - RELATION TO PEOPLE 49 padotthn FA. D.O.T. CODE - RELATION TO THINGS 49 padotged FA. D.O.T. CODE - GENERAL EDUC DEVELOP. 49 padotsvp FA. D.O.T. CODE - SPECIFIC VOCAT. PREP 49 padotpre FA. TEMME PRESTIGE SCALE 50 partyid POLITICAL PARTY AFFILIATION 50 vote68 DID R VOTE IN 1968 ELECTION 51 pres68 VOTE FOR HUMPHREY, NIXON, OR WALLACE 51 if68who WHO WOULD R HAVE VOTED FOR-1968 ELECTION 52 vote72 DID R VOTE IN 1972 ELECTION 52 pres72 VOTE FOR MCGOVERN OR NIXON 53 if72who WHO WOULD R HAVE VOTED FOR-1972 ELECTION 53 vote76 DID R VOTE IN 1976 ELECTION 54 pres76 VOTE FOR CARTER OR FORD 54 if76who WHO WOULD R HAVE VOTED FOR-1976 ELECTION 55 vote80 DID R VOTE IN 1980 ELECTION 55 pres80 VOTE FOR CARTER, REAGAN OR ANDERSON 56 if80who WHO WOULD R HAVE VOTED FOR-1980 ELECTION 56 vote84 DID R VOTE IN 1984 ELECTION 57 pres84 VOTE FOR REAGAN OR MONDALE 57 if84who WHO WOULD R HAVE VOTED FOR-1984 ELECTION 58 vote88 DID R VOTE IN 1988 ELECTION 58 pres88 VOTE FOR DUKAKIS OR BUSH 59 if88who WHO WOULD R HAVE VOTED FOR-1988 ELECTION 59 vote92 DID R VOTE IN 1992 ELECTION 60 pres92 VOTE FOR CLINTON, BUSH, PEROT 60 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page iv item page if92who WHO WOULD R HAVE VOTED FOR-1992 ELECTION 61 vote96 DID R VOTE IN 1996 ELECTION 61 pres96 VOTE FOR CLINTON, DOLE, PEROT 62 if96who WHO WOULD R HAVE VOTED FOR-1996 ELECTION 62 polviews THINK OF SELF AS LIBERAL OR CONSERVATIVE 63 polviewy LIBERAL OR CONSERVATIVE-VERSION Y 64 polviewx LIBERAL OR CONSERVATIVE-VERSION X 64 natspac SPACE EXPLORATION PROGRAM 65 natenvir IMPROVING & PROTECTING ENVIRONMENT 65 natheal IMPROVING & PROTECTING NATIONS HEALTH 66 natcity SOLVING PROBLEMS OF BIG CITIES 66 natcrime HALTING RISING CRIME RATE 67 natdrug DEALING WITH DRUG ADDICTION 67 nateduc IMPROVING NATIONS EDUCATION SYSTEM 68 natrace IMPROVING THE CONDITIONS OF BLACKS 68 natarms MILITARY, ARMAMENTS, AND DEFENSE 69 nataid FOREIGN AID 69 natfare WELFARE 70 natroad HIGHWAYS AND BRIDGES 70 natsoc SOCIAL SECURITY 71 natmass MASS TRANSPORTATION 71 natpark PARKS AND RECREATION 72 natspacy SPACE EXPLORATION -- VERSION Y 72 natenviy THE ENVIRONMENT -- VERSION Y 73 nathealy HEALTH -- VERSION Y 73 natcityy ASSISTANCE TO BIG CITIES -- VERSION Y 74 natcrimy LAW ENFORCEMENT -- VERISON Y 74 natdrugy DRUG REHABILITATION -- VERSION Y 75 nateducy EDUCATION -- VERSION Y 75 natracey ASSISTANCE TO BLACKS -- VERSION Y 76 natarmsy NATIONAL DEFENSE -- VERSION Y 76 nataidy ASSISTANCE TO OTHER COUNTRIES -- VER Y 77 natfarey ASSISTANCE TO THE POOR -- VERSION Y 77 natspacz SPACE EXPLORATION -- VERSION Z 78 natenviz IMPROVING THE ENVIRONMENT -- VERSION Z 78 nathealz IMPROVING HEALTH -- VERSION Z 79 natcityz SOLVING PROBLEMS OF BIG CITIES -- VER Z 79 natcrimz REDUCING CRIME -- VERISON Z 80 natdrugz REDUCING DRUG ADDICTION -- VERSION Z 80 nateducz IMPROVING THE EDUCATION SYSTEM -- VER Z 81 natracez IMPROVING CONDITIONS OF BLACKS -- VER Z 81 natarmsz STRENGTHENING NATIONAL DEFENSE -- VER Z 82 nataidz HELPING OTHER COUNTRIES -- VERSION Z 82 natfarez CARING FOR THE POOR -- VERSION Z 83 natroadz IMPROVING HIGHWAYS AND BRIDGES -- VER Z 83 natsocz PROTECTING SOCIAL SECURITY -- VERSION Z 84 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page v item page natmassz IMPROVING MASS TRANSIT -- VERSION Z 84 natparkz IMPROVING PARKS AND RECREATION -- VER Z 85 equal1 EVERYONE SHOULD LOOK OUT FOR SELF 85 equal2 BUSINESS PROFITS BENEFIT ALL 86 equal3 GOVT SHLD INSURE JOBS AND STABLE PRICES 86 equal4 RESPONSIBILITY OF GOVT TO MEET NEEDS 87 equal5 SOCIAL WELFARE BENEFITS ARE DISINCENTIVE 87 equal6 ONE IS ABLE TO LIVE WELL IN AMERICA 88 equal7 BUSINESS PROFITS ARE DISTRIBUTED FAIRLY 88 equal8 SOCIAL STANDING DUE TO ABILITY 89 usclass1 TRADITIONAL CLASS DIVISIONS STILL REMAIN 89 usclass2 ACHIEVEMENT DEPENDS ON FAMILY BACKGROUND 90 usclass3 ACHIEVEMENT DEPENDS ON EDUC AND ABILITY 90 usclass4 ONES OWN EFFORTS DONT COUNT 91 usclass5 PERSONAL INCOME NOT DETERMINED BY WORK 91 usclass6 DIFFERENCES IN CLASS ARE AN INCENTIVE 92 usclass7 DIFFERENCES IN CLASS REFLECT OWN EFFORT 92 usclass8 SOCIAL DIFFERENCES ARE ACCEPTABLE 93 educop EQUAL OPPORTUNITY TO OBTAIN EDUCATION? 93 govcare GOVT CONCERN FOR SOCIAL WELFARE 94 eqwlth SHOULD GOVT REDUCE INCOME DIFFERENCES 95 eqwlthy GOVT REDUCE INCOME DIFFERENCES-VERSION Y 96 tax RS FEDERAL INCOME TAX 96 spkath ALLOW ANTI-RELIGIONIST TO SPEAK 97 colath ALLOW ANTI-RELIGIONIST TO TEACH 97 libath ALLOW ANTI-RELIGIOUS BOOK IN LIBRARY 98 spksoc ALLOW SOCIALIST TO SPEAK 98 colsoc ALLOW SOCIALIST TO TEACH 99 libsoc ALLOW SOCIALISTS BOOK IN LIBRARY 99 spkrac ALLOW RACIST TO SPEAK 100 colrac ALLOW RACIST TO TEACH 100 librac ALLOW RACISTS BOOK IN LIBRARY 101 spkcom ALLOW COMMUNIST TO SPEAK 101 colcom SHOULD COMMUNIST TEACHER BE FIRED 102 libcom ALLOW COMMUNISTS BOOK IN LIBRARY 102 spkmil ALLOW MILITARIST TO SPEAK 103 colmil ALLOW MILITARIST TO TEACH 103 libmil ALLOW MILITARISTS BOOK IN LIBRARY 104 spkhomo ALLOW HOMOSEXUAL TO SPEAK 104 colhomo ALLOW HOMOSEXUAL TO TEACH 105 libhomo ALLOW HOMOSEXUALS BOOK IN LIBRARY 105 cappun2 DOES R FAVOR CAPITAL PUNISHMENT 106 cappun FAVOR OR OPPOSE DEATH PENALTY FOR MURDER 106 capimp IMPORTANCE OF DEATH PENALTY ISSUE TO R 107 capinfo HOW MUCH INFO R HAS ON DEATH PENALTY 107 capfirm HOW FIRM IS RS OPINION OF DEATH PENALTY 108 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page vi item page gunlaw FAVOR OR OPPOSE GUN PERMITS 108 gunimp IMPORTANCE OF GUN CONTROL ISSUE TO R 109 guninfo HOW MUCH INFO DOES R HAVE ON GUN CONTROL 109 gunfirm HOW FIRM IS RS OPINION ON GUN CONTROL 110 courts COURTS DEALING WITH CRIMINALS 110 courtsy COURTS DEALING WITH CRIMINALS-VERSION Y 111 crimimp IMPORTANCE OF CRIME ISSUE TO R 111 criminfo HOW MUCH INFO DOES R HAVE ON CRIME ISSUE 112 crimfirm HOW FIRM IS RS OPINION ON CRIME ISSUE 112 lawimp IMPORTANCE OF LAW ENFORCEMENT ISSUE TO R 113 lawinfo HOW MUCH INFO DOES R HAVE ON LAW ISSUE 113 lawfirm HOW FIRM IS RS OPINION ON LAW ISSUE 114 wirtap WIRETAPPING 114 grass SHOULD MARIJUANA BE MADE LEGAL 115 grassy SHOULD MARIJUANA BE LEGAL-VERSION Y 115 uswar EXPECT U.S. IN WAR WITHIN 10 YEARS 116 uswary EXPECT U.S. IN WORLD WAR IN 10 YEARS 116 usintl TAKE ACTIVE PART IN WORLD AFFAIRS 117 usun REMAIN IN U.N. OR PULL OUT 117 commun FEELINGS ABOUT COMMUNISM 118 commun10 FEELINGS ABOUT COMMUNISM 10 YRS AGO 118 russia LIKING FOR RUSSIA 119 japan LIKING FOR JAPAN 119 england LIKING FOR ENGLAND 120 canada LIKING FOR CANADA 120 brazil LIKING FOR BRAZIL 121 china LIKING FOR CHINA 121 israel LIKING FOR ISRAEL 122 egypt LIKING FOR EGYPT 122 relig RS RELIGIOUS PREFERENCE 123 denom SPECIFIC DENOMINATION 124 other OTHER PROTESTANT DENOMINATIONS 125 jew WHAT SORT OF JEW R IS 125 fund HOW FUNDAMENTALIST IS R CURRENTLY 125 attend HOW OFTEN R ATTENDS RELIGIOUS SERVICES 126 maattend HOW OFTEN MA ATTENDED RELIGIOUS SERVICES 126 paattend HOW OFTEN PA ATTENDED RELIGIOUS SERVICES 127 spattend HOW OFTEN SP ATTENDS RELIGIOUS SERVICES 127 reliten STRENGTH OF AFFILIATION 128 postlife BELIEF IN LIFE AFTER DEATH 128 postlf1 LIFE OF PEACE AND TRANQUILITY 129 postlf2 LIFE OF INTENSE ACTION 129 postlf3 LIKE HERE ON EARTH ONLY BETTER 130 postlf4 LIFE WITHOUT MANY EARTHLY JOYS 130 postlf5 PALE OR SHADOWY FORM OF LIFE 131 postlf6 A SPIRITUAL LIFE INVOLVING MIND NOT BODY 131 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page vii item page postlf7 PARADISE OF PLEASURES AND DELIGHTS 132 postlf8 PLACE OF LOVING INTELLECTUAL COMMUNION 132 postlf9 UNION WITH GOD 133 postlf10 REUNION WITH LOVED ONES 133 likediff AFTERLIFE CONTRAST: BETTER OR LACKING 134 mindbody AFTERLIFE CONTRAST: SPIRITUAL OR SENSUAL 134 restact AFTERLIFE CONTRAST: PEACEFUL OR ACTION 135 palefull AFTERLIFE CONTRAST: SHADOWS OR FULL 135 pray HOW OFTEN DOES R PRAY 136 dejavu THOUGHT ONE WAS SOMEPLACE BEFORE 136 esp FELT IN TOUCH WITH SOMEONE FAR AWAY 137 visions PERCEIVED EVENTS AT GREAT DISTANCE 137 spirits FELT IN TOUCH WITH DECEASED PERSON 138 grace HAD POWERFUL RELIGIOUS EXPERIENCE 138 neargod HOW CLOSE DOES R FEEL TO GOD 139 judge IMAGE OF GOD AS JUDGE 139 redeemer IMAGE OF GOD AS REDEEMER 140 lover IMAGE OF GOD AS LOVER 140 master IMAGE OF GOD AS MASTER 141 mother IMAGE OF GOD AS MOTHER 141 creator IMAGE OF GOD AS CREATOR 142 father IMAGE OF GOD AS FATHER 142 spouse IMAGE OF GOD AS SPOUSE 143 friend IMAGE OF GOD AS FRIEND 143 king IMAGE OF GOD AS KING 144 liberatr IMAGE OF GOD AS LIBERATOR 144 healer IMAGE OF GOD AS HEALER 145 mapa CONTRAST BETWEEN MOTHER AND FATHER 145 mastersp CONTRAST BETWEEN MASTER AND SPOUSE 146 judgeluv CONTRAST BETWEEN JUDGE AND LOVER 146 frndking CONTRAST BETWEEN FRIEND AND KING 147 crtrheal CONTRAST BETWEEN CREATOR AND HEALER 147 rdeemlib CONTRAST BETWEEN REDEEMER AND LIBERATOR 148 relig16 RELIGION IN WHICH RAISED 148 denom16 DENOMINATION IN WHICH R WAS RAISED 149 oth16 OTHER PROTESTANT DENOMINATIONS 150 jew16 WHAT SORT OF JEW R WAS AT AGE 16 150 fund16 HOW FUNDAMENTALIST WAS R AT AGE 16 151 sprel SPOUSES RELIGIOUS PREFERENCE 151 spden SPECIFIC DENOMINATION, SPOUSE 152 spother OTHER PROTESTANT DENOMINATIONS 153 spjew WHAT SORT OF JEW IS RS SPOUSE CURRENTLY 153 spfund HOW FUNDAMENTALIST IS SPOUSE CURRENTLY 154 sprel16 RELIGION IN WHICH SPOUSE RAISED 154 spden16 DENOMINATION IN WHICH SPOUSE RAISED 155 spoth16 OTHER PROTESTANT DENOMINATIONS 156 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page viii item page spjew16 WHAT SORT OF JEW WAS RS SPOUSE AT 16 156 spfund16 HOW FUNDAMENTALIST WAS SPOUSE AT 16 157 tithing HOW MUCH DOES R GIVE TO RELIGION 157 prayer BIBLE PRAYER IN PUBLIC SCHOOLS 158 prayery BIBLE PRAYER IN SCHOOLS-VERSION Y 158 prayerx BIBLE PRAYER IN SCHOOLS -- VERSION Z 159 bible FEELINGS ABOUT THE BIBLE 159 bibley FEELINGS ABOUT THE BIBLE -- VERSION Z 160 world1 WORLD IMAGE: MUCH EVIL VS. MUCH GOOD 161 world2 WORLD IMAGE: THE GOOD MUST ACT VS. NOT 162 world3 WORLD IMAGE: GOD NOT HERE VS. HERE 162 world4 WORLD IMAGE: MAN IS GOOD VS. CORRUPT 163 world5 WORLD IMAGE: ARTS ARE GOOD VS. NOT 163 world6 WORLD IMAGE: CHAOS VS. HARMONY 164 world7 WORLD IMAGE: ACH. REVEALS GOD VS. NOT 164 libtemp FEELING THERMOMETER -- LIBERALS 165 contemp FEELING THERMOMETER -- CONSERVATIVES 165 prottemp FEELING THERMOMETER -- PROTESTANTS 166 cathtemp FEELING THERMOMETER -- CATHOLICS 166 jewtemp FEELING THERMOMETER -- JEWS 166 fepriest R FAVORS WOMEN AS PRIESTS 167 feclergy R FAVORS WOMEN AS MINISTERS 167 relgrade GRADE GIVEN RELIGION 168 racmar FAVOR LAW AGAINST RACIAL INTERMARRIAGE 168 racmar10 FAVOR LAW AGAINST RAC INTRMAR 10 YRS AGO 169 racdin OBJECT TO OPP. RACE HOME FOR DINNER 169 racpush BLACKS SHOULDNT PUSH 170 racseg WHITES HAVE RIGHT TO SEG. NEIGHBORHOOD 170 racopen VOTE ON OPEN HOUSING LAW 171 raclive ANY OPP. RACE IN NEIGHBORHOOD 171 racclos ANY OPP. RACE LIVING CLOSE TO R 172 racdis HOW FAR ARE CLOSEST OPP. RACE 172 racinteg WILL NEIGHBORHOOD BECOME ALL BLACK 173 racobjct NEIGHBORHOOD INTEGRATED BY SAME SES 173 rachome OPP. RACE HOME FOR DINNER RECENTLY 174 racschol SHOULD WHITES & BLACKS GO TO SAME SCHOOL 174 racfew CHILDREN TO SCHOOL WITH OPPOSITE RACE 175 rachaf CHILDREN TO SCHOOL HALF OPPOSITE RACE 175 racmost CHILDREN TO SCHOOL MOSTLY OPPOSITE RACE 176 busing ATTITUDE TOWARD RACIAL BUSING 176 busing10 FAVOR BUSING 10 YRS AGO 177 racpres WOULD VOTE FOR BLACK PRESIDENT 177 racjob EQUAL OPPORTUNITIES ON JOBS 178 racchurh ATTEND CHURCH WITH OTHER RACE 178 color RS SKIN COLOR 179 racname PREFERED RACIAL NAME 179 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page ix item page rachisch HOW INTEGRATED WAS RS HIGH SCHOOL 180 racmix HOW MANY FRIENDS ARE WHITE 180 racneigh NEIGHBORHOOD R WOULD LIKE TO LIVE IN 181 racnobuy EVER BOYCOTT CERTAIN PRODUCTS 181 ractrust TRUST WHITE PEOPLE 182 racparty WHICH PARTY HELPS BLACKS MORE 182 racocc EQUALITY IN OCCUPATION 183 racinc EQUALITY IN INCOME 183 racopnow OPPORTUNITIES IMPROVED IN LAST 5 YRS 184 racopwil OPPORTUNITIES IMPROVE IN NEXT 5 YRS 184 racimp IMPORTANCE OF RACE RELATIONS ISSUES TO R 185 racinfo HOW MUCH INFO DOES R HAVE ON RACE ISSUES 185 racfirm HOW FIRM IS RS OPINION ON RACIAL ISSUES 186 raccare RS CONCERN ABOUT RACIAL ISSUES 186 racthink HOW OFT R & FRNDS THINK ABT RACE ISSUES 187 racwrite R EVER WRITTEN OFFICIAL ABT RACE ISSUES 187 racgive HAS R GIVEN MONEY TO RACIAL ORGS 188 racjoin EVER JOINED ORG WORKING ON RACIAL ISSUES 188 affrmact FAVOR PREFERENCE IN HIRING BLACKS 188 wrkwayup BLACKS OVERCOME PREJUDICE WITHOUT FAVORS 189 blksimp HAVE CONDITIONS FOR BLACKS IMPROVED 189 closeblk HOW CLOSE FEEL TO BLACKS 190 closewht HOW CLOSE FEEL TO WHITES 190 alienat1 PEOPLE RUNNING COUNTRY DONT CARE 191 alienat2 RICH GET RICHER, POOR POORER 191 alienat3 WHAT YOU THINK DOESNT COUNT 192 alienat4 YOU'RE LEFT OUT OF THINGS 192 alienat5 POWERFUL PEOPLE TAKE ADVANTAGE OF YOU 193 alienat6 PEOPLE IN WASH D.C. ARE OUT OF TOUCH 193 happy GENERAL HAPPINESS 194 hapmar HAPPINESS OF MARRIAGE 194 health CONDITION OF HEALTH 195 life IS LIFE EXCITING OR DULL 195 helpful PEOPLE HELPFUL OR LOOKING OUT FOR SELVES 196 fair PEOPLE FAIR OR TRY TO TAKE ADVANTAGE 196 trust CAN PEOPLE BE TRUSTED 197 trusty CAN PEOPLE BE TRUSTED-VERSION Y 197 satcity CITY OR PLACE R LIVES IN 198 sathobby NON-WORKING ACTIVITIES,HOBBIES 198 satfam FAMILY LIFE 199 satfrnd FRIENDSHIPS 199 sathealt HEALTH AND PHYSICAL CONDITION 200 confinan CONFID IN BANKS & FINANCIAL INSTITUTIONS 200 conbus CONFIDENCE IN MAJOR COMPANIES 201 conclerg CONFIDENCE IN ORGANIZED RELIGION 201 coneduc CONFIDENCE IN EDUCATION 202 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page x item page confed CONFID. IN EXEC BRANCH OF FED GOVT 202 conlabor CONFIDENCE IN ORGANIZED LABOR 203 conpress CONFIDENCE IN PRESS 203 conmedic CONFIDENCE IN MEDICINE 204 contv CONFIDENCE IN TELEVISION 204 conjudge CONFID. IN UNITED STATES SUPREME COURT 205 consci CONFIDENCE IN SCIENTIFIC COMMUNITY 205 conlegis CONFIDENCE IN CONGRESS 206 conarmy CONFIDENCE IN MILITARY 206 confinay BANKS & FINANCIAL INSTITUTIONS -- VER Z 207 conbusy MAJOR COMPANIES -- VERSION Z 207 conclery ORGANIZED RELIGION -- VERSION Z 208 coneducy EDUCATION -- VERSION Z 208 confedy EXEC BRANCH FED GOVT -- VERSION Z 209 conlaboy ORGANIZED LABOR -- VERSION Z 209 conpresy PRESS -- VERSION Z 210 conmediy MEDICINE -- VERSION Z 210 contvy TELEVISION -- VERSION Z 210 conjudgy UNITED STATES SUPREME COURT -- VERSION Z 211 consciy SCIENTIFIC COMMUNITY -- VERSION Z 211 conlegiy CONGRESS -- VERSION Z 212 conarmyy MILITARY -- VERISON Z 212 manners GOOD MANNERS 213 success TRIES HARD TO SUCCEED 213 honest HONEST 214 clean NEAT AND CLEAN 214 judgment GOOD SENSE AND SOUND JUDGMENT 215 control SELF-CONTROL 215 role ACTS LIKE BOY-ACTS LIKE GIRL 216 amicable GETS ALONG WELL WITH OTHER CHILDREN 216 obeys OBEYS PARENTS WELL 217 responsi RESPONSIBLE 217 consider CONSIDERATE OF OTHERS 218 interest INTERESTED HOW AND WHY THINGS HAPPEN 218 studious GOOD STUDENT 219 mannersy GOOD MANNERS-VERSION Y 219 successy TRIES HARD TO SUCCEED-VERSION Y 220 honesty HONEST-VERSION Y 220 cleany NEAT AND CLEAN-VERSION Y 221 judgmeny GOOD SENSE, SOUND JUDGMENT-VERSION Y 221 controly SELF-CONTROL-VERSION Y 222 roley ACTS LIKE BOY-ACTS LIKE GIRL-VERSION Y 222 amicably GETS ALONG WITH OTHER CHILDREN-VERSION Y 223 obeysy OBEYS PARENTS WELL-VERSION Y 223 responsy RESPONSIBLE-VERSION Y 224 considey CONSIDERATE OF OTHERS-VERSION Y 224 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xi item page interesy INTERESTED HOW THINGS HAPPEN-VERSION Y 225 studiouy GOOD STUDENT-VERSION Y 225 mannersz GOOD MANNERS-VERSION Z 226 successz TRIES HARD TO SUCCEED-VERSION Z 226 honestz HONEST-VERSION Z 227 cleanz NEAT AND CLEAN-VERSION Z 227 judgmenz GOOD SENSE, SOUND JUDGMENT-VERSION Z 228 controlz SELF-CONTROL-VERSION Z 228 rolez ACTS LIKE BOY-ACTS LIKE GIRL-VERSION Z 229 amicablz GETS ALONG WITH OTHER CHILDREN-VERSION Z 229 obeysz OBEYS PARENTS WELL-VERSION Z 230 responsz RESPONSIBLE-VERSION Z 230 considez CONSIDERATE OF OTHERS-VERSION Z 231 interesz INTERESTED HOW THINGS HAPPEN-VERSION Z 231 studiouz GOOD STUDENT-VERSION Z 232 obey TO OBEY 232 popular TO BE WELL LIKED OR POPULAR 233 thnkself TO THINK FOR ONES SELF 233 workhard TO WORK HARD 234 helpoth TO HELP OTHERS 234 chldsex QUALITIES FOR BOYS OR GIRLS 235 chldsex1 QUALITIES FOR BOYS OR GIRLS -- VARIANT 235 youngen WHAT SHOULD YOUNGER GENERATION BE TAUGHT 236 socrel SPEND EVENING WITH RELATIVES 236 socommun SPEND EVENING WITH NEIGHBOR 237 socfrend SPEND EVENING WITH FRIENDS 237 socbar SPEND EVENING AT BAR 238 socpars SPEND EVENING WITH PARENTS 238 socsibs SPEND EVENING WITH SIBLINGS 239 aged SHOULD AGED LIVE WITH THEIR CHILDREN 239 drink EVER DRINK ALCOHOLIC BEVERAGES? 240 drunk EVER DRINK TOO MUCH? 240 smoke DOES R SMOKE 240 quitsmk EVER TRIED TO QUIT SMOKING 241 smokecig DOES R SMOKE CIGARETTES 241 cigweek HAS R SMOKED CIGARETTES IN LAST WEEK 241 evsmoke HAS R EVER SMOKED 242 anomia1 NEXT TO HEALTH, MONEY IS MOST IMPORTANT 242 anomia2 WONDER IF ANYTHING IS WORTHWHILE 243 anomia3 NO RIGHT & WRONG WAYS TO MAKE MONEY 243 anomia4 LIVE ONLY FOR TODAY 244 anomia5 LOT OF THE AVERAGE MAN GETTING WORSE 244 anomia6 NOT FAIR TO BRING CHILD INTO WORLD 245 anomia7 OFFICIALS NOT INTERESTED IN AVERAGE MAN 245 anomia8 DONT KNOW WHOM TO TRUST 246 anomia9 MOST DONT CARE WHAT HAPPENS TO OTHERS 246 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xii item page joblose IS R LIKELY TO LOSE JOB 247 jobfind COULD R FIND EQUALLY GOOD JOB 247 satjob JOB OR HOUSEWORK 248 richwork IF RICH, CONTINUE OR STOP WORKING 248 jobinc HIGH INCOME 249 jobsec NO DANGER OF BEING FIRED 249 jobhour SHORT WORKING HOURS 250 jobpromo CHANCES FOR ADVANCEMENT 250 jobmeans WORK IMPORTANT AND FEEL ACCOMPLISHMENT 251 jobkeep JOB SECURITY 251 jobpay HIGH INCOME 252 jobrise OPPORTUNITY FOR ADVANCEMENT 252 jobhonor OCCUPATION IS RECOGNIZED AND RESPECTED 252 joboff LEAVES TIME FOR LEISURE 253 jobinter INTERESTING WORK 253 jobindep ALLOWS ONE TO WORK INDEPENDENTLY 253 jobresp RESPONSIBLE JOB TASKS 254 jobpeop CONTACT WITH OTHER PEOPLE 254 jobhelp CAN HELP OTHERS 254 jobsoc USEFUL TO SOCIETY 255 jobaccmp DOING SOMETHING MEANINGFUL 255 jobsafe SAFE CONDITIONS 255 class SUBJECTIVE CLASS IDENTIFICATION 256 classy SUBJECTIVE SOCIAL CLASS-VERSION Y 256 rank RS SELF RANKING OF SOCIAL POSITION 257 satfin SATISFACTION WITH FINANCIAL SITUATION 257 finalter CHANGE IN FINANCIAL SITUATION 258 finrela OPINION OF FAMILY INCOME 258 incneed INCOME FAMILY NEEDS 259 mininc MINIMUM AMOUNT OF INCOME NEEDED PER WEEK 259 wksub DOES R OR SPOUSE HAVE SUPERVISOR 260 wksubs DOES SUPERVISOR HAVE SUPERVISOR 260 wksup DOES R OR SPOUSE SUPERVISE ANYONE 261 wksups DOES SUBORDINATE SUPERVISE ANYONE 261 unemp EVER UNEMPLOYED IN LAST TEN YRS 262 govaid EVER RECEIVE WELFARE, UNEMP INSUR, ETC. 262 getaid EVER RECEIVED WELFARE? 263 union DOES R OR SPOUSE BELONG TO UNION 263 getahead OPINION OF HOW PEOPLE GET AHEAD 264 parsol RS LIVING STANDARD COMPARED TO PARENTS 264 kidssol RS KIDS LIVING STANDARD COMPARED TO R 265 fehome WOMEN TAKE CARE OF HOME NOT COUNTRY 265 fework SHOULD WOMEN WORK 266 fepres VOTE FOR WOMAN PRESIDENT 266 fepol WOMEN NOT SUITED FOR POLITICS 267 fepoly MEN OR WOMEN BETTER SUITED FOR POLITICS 267 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xiii item page feimp IMPORTANCE OF WOMENS RIGHTS ISSUE TO R 268 feinfo HOW MUCH INFO R HAS ON WOMENS RGTS 268 fefirm HOW FIRM IS RS OPINION ON WOMENS RGHTS 269 fecare RS CONCERN ABOUT WOMENS RIGHTS 269 fethink HOW OFT R & FRNDS THINK ABT WOMENS RGTS 270 fewrite R EVER WRITTEN OFFICIAL ABT WOMENS RGTS 270 fegive HAS R GIVEN MONEY TO WOMENS RIGHTS ORGS 271 fejoin EVER JOINED ORG WORKING ON WOMENS RGTS 271 abdefect STRONG CHANCE OF SERIOUS DEFECT 272 abnomore MARRIED--WANTS NO MORE CHILDREN 272 abhlth WOMANS HEALTH SERIOUSLY ENDANGERED 273 abpoor LOW INCOME--CANT AFFORD MORE CHILDREN 273 abrape PREGNANT AS RESULT OF RAPE 274 absingle NOT MARRIED 274 abany ABORTION IF WOMAN WANTS FOR ANY REASON 275 aborct HEARD SUPREME COURT DECISION ON ABORTION 275 abpro1 1ST ARGUMENT FOR ABORTION 275 abpro2 2ND ARGUMENT FOR ABORTION 276 abpro3 3RD ARGUMENT FOR ABORTION 276 abcon1 1ST ARGUMENT AGAINST ABORTION 276 abcon2 2ND ARGUMENT AGAINST ABORTION 277 abcon3 3RD ARGUMENT AGAINST ABORTION 277 abimp IMPORTANCE OF ABORTION ISSUE TO R 277 abinfo HOW MUCH INFO DOES R HAVE ON ABORTION 278 abfirm HOW FIRM IS RS OPINION ON ABORTION 278 abcare HOW CONCERNED IS R ABOUT ABORTION 279 chldidel IDEAL NUMBER OF CHILDREN 279 chldmore EXPECT MORE CHILDREN 280 chldnum HOW MANY CHILDREN EXPECTED 280 chldsoon CHILDREN EXPECTED IN 5 YEARS 280 pill BIRTH CONTROL INFORMATION 281 teenpill BIRTH CONTROL INFORMATION TO TEENS 281 pillok BIRTH CONTROL TO TEENAGERS 14-16 282 sexeduc SEX EDUCATION IN PUBLIC SCHOOLS 282 divlaw DIVORCE LAWS 283 divlawy DIVORCE LAWS-VERSION Y 283 spdue EVER ENTITLED TO ALIMONY OR CHLD SUPPORT 284 sppaid REGULARLY RECEIVED ALIMONY - CHLD SUPPRT 284 premarsx SEX BEFORE MARRIAGE 285 teensex SEX BEFORE MARRIAGE -- TEENS 14-16 285 xmarsex SEX WITH PERSON OTHER THAN SPOUSE 286 homosex HOMOSEXUAL SEX RELATIONS 286 homochng HOMOSEXUALITY: INHERENT OR CHOICE? 287 porninf MATERIALS PROVIDE INFO ABOUT SEX 287 pornmorl MATERIALS LEAD TO BREAKDOWN IN MORALS 288 pornrape MATERIALS LEAD TO RAPE 288 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xiv item page pornout MATERIALS PROVIDE OUTLET 288 pornlaw FEELINGS ABOUT PORNOGRAPHY LAWS 289 xmovie SEEN X-RATED MOVIE IN LAST YEAR 289 xmovie1 SEEN PORN FILM (THEATER OR VCR) LAST YR 290 pornimp IMPORTANCE OF PORNOGRAPHY ISSUE TO R 290 porninfo HOW MUCH INFO DOES R HAVE ON PORN ISSUE 291 pornfirm HOW FIRM IS RS OPINION ON PORN ISSUE 291 spanking FAVOR SPANKING TO DISCIPLINE CHILD 292 letdie1 ALLOW INCURABLE PATIENTS TO DIE 292 letdie2 LET PATIENTS DIE IF DOCTORS AGREE 293 suicide1 SUICIDE IF INCURABLE DISEASE 293 suicide2 SUICIDE IF BANKRUPT 294 suicide3 SUICIDE IF DISHONORED FAMILY 294 suicide4 SUICIDE IF TIRED OF LIVING 295 strike PICKETING FOR LABOR STRIKE 295 civright CIVIL RIGHTS DEMONSTRATION 296 antiwar ANTI-WAR DEMONSTRATION 296 prowar PRO-WAR DEMONSTRATION 296 school SCHOOL RELATED DEMONSTRATION 297 hit EVER PUNCHED OR BEATEN BY ANOTHER PERSON 297 hitage BEATEN AS CHILD OR ADULT 298 hitnum IF BEATEN--HOW MANY TIMES 298 gun EVER THREATENED WITH GUN OR SHOT AT 299 gunage THREATENED OR SHOT AT AS CHILD OR ADULT 299 gunnum IF THREATENED OR SHOT AT--HOW MANY TIMES 300 hitok EVER APPROVE OF MAN PUNCHING ADULT MALE 300 hitmarch STRANGER IN PROTEST MARCH 301 hitdrunk DRUNK BUMPED INTO MAN & WIFE 301 hitchild STRANGER HAD HIT MANS CHILD 302 hitbeatr STRANGER WAS BEATING UP A WOMAN 302 hitrobbr STRANGER HAD BROKEN INTO MANS HOUSE 303 polhitok EVER APPROVE OF POLICE STRIKING CITIZEN 303 polabuse CITIZEN SAID VULGAR OR OBSCENE THINGS 304 polmurdr CITIZEN QUESTIONED AS MURDER SUSPECT 304 polescap CITIZEN ATTEMPTING TO ESCAPE CUSTODY 305 polattak CITIZEN ATTACKING POLICEMAN WITH FISTS 305 fear AFRAID TO WALK AT NIGHT IN NEIGHBORHOOD 306 fearhome DOES R FEEL SAFE AND SECURE AT HOME 306 burglr HOME BROKEN INTO DURING THE LAST YEAR 307 robbry FORCEFULLY ROBBED DURING THE LAST YEAR 307 owngun HAVE GUN IN HOME 308 pistol PISTOL OR REVOLVER IN HOME 308 shotgun SHOTGUN IN HOME 309 rifle RIFLE IN HOME 309 rowngun DOES GUN BELONG TO R 310 ticket EVER RECEIVED A TRAFFIC TICKET 310 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xv item page arrest EVER PICKED UP OR CHARGED BY POLICE 311 hunt DOES R OR SPOUSE HUNT 311 huntothr DOES OTHER HOUSEHOLD MEMBER HUNT 312 news HOW OFTEN DOES R READ NEWSPAPER 312 tvhours HOURS PER DAY WATCHING TV 313 radiohrs HOURS PER DAY LISTENING TO RADIO 313 phone DOES R HAVE TELEPHONE 314 coop2 RS ATTITUDE TOWARD INTERVIEW 314 coop RS ATTITUDE TOWARD INTERVIEW 315 comprend RS UNDERSTANDING OF QUESTIONS 315 form FORM OF SPLIT QUESTIONNAIRE ASKED 316 abspno ABORTION IF HUSBAND OPPOSES 316 abhave1 HAVE ABORTION IF PROBABLE DEFECT 317 abhave2 HAVE ABORTION IF HEALTH ENDANGERED 317 abhave3 HAVE ABORTION IF COULDNT AFFORD CHILD 318 ablegal SHOULD ABORTION EVER BE LEGAL 318 fechld MOTHER WORKING DOESNT HURT CHILDREN 319 fehelp WIFE SHOULD HELP HUSBANDS CAREER FIRST 319 fepresch PRESCHOOL KIDS SUFFER IF MOTHER WORKS 320 fefam BETTER FOR MAN TO WORK, WOMAN TEND HOME 320 eraread HAS R HEARD OR READ ABOUT ERA 321 erameans DOES R UNDERSTAND WHAT ERA MEANS 321 era DOES R FAVOR OR OPPOSE ERA? 322 eratell DOES R FAVOR OR OPPOSE ERA 322 erawhy1 1ST REASON FAVOR-OPPOSE ERA 323 erawhy2 2ND REASON FAVOR-OPPOSE ERA 323 erawhy3 3RD REASON FAVOR-OPPOSE ERA 323 eraimp IMPORTANCE OF ERA ISSUE 324 erainfo HOW MUCH INFO DOES R HAVE ABOUT ERA 324 erafirm HOW FIRM IS RS OPINION ON ERA 325 febear CAN WIFE REFUSE TO HAVE CHILDREN 325 feworkif MARRIED WOMEN WORK IF JOBS LIMITED 326 racsubs FAVOR ATTEMPTS TO INTEGRATE SUBURBS 326 racsubgv SUBURBAN GOVTS ENCOURAGE INTEGRATION 327 racmarel WHAT IF RELATIVE MARRIED OTHER RACE 327 racmarpr EXPECT PROBS IN INTERRACIAL MARRIAGE 328 racsups EXPECT PROBS IF BLACKS SUPERVISE WHITES 328 racteach DONT HIRE TEACHERS AGAINST INTEGRATION 329 racavoid AVOID DRIVING THRU BLACK NEIGHBORHOOD 329 racchng TRY TO INTEGRATE SOCIAL CLUB 330 racquit QUIT IF COULDNT INTEGRATE CLUB 330 racdif1 DIFFERENCES DUE TO DISCRIMINATION 331 racdif2 DIFFERENCES DUE TO INBORN DISABILITY 331 racdif3 DIFFERENCES DUE TO LACK OF EDUCATION 332 racdif4 DIFFERENCES DUE TO LACK OF WILL 332 salfergt SALIENCE, WOMENS RIGHTS 333 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xvi item page sallabor SALIENCE, LABOR LEADERS 333 salsatfn SALIENCE, FINANCIAL SATISFACTION 334 salabort SALIENCE, ABORTION LAWS 334 salsci SALIENCE, SCIENTIFIC COMMUNITY 335 divorce5 DIVORCED IN LAST 5 YRS 335 divrel1 RELATIVES DIVORCED IN LAST YEAR 335 divrel4 RELATIVES DIVORCED BETWEEN 5 & 1 YRS AGO 336 unemp5 UNEMPLOYED IN LAST 5 YRS 336 unrel1 RELATIVES UNEMPLOYED IN LAST YR 336 unrel4 RELATIVES UNEMP BETWEEN 5 & 1 YRS AGO 337 hosdis5 HOSPITALIZED, DISABLED LAST 5 YRS 337 hosrel1 RELS HOSPITALIZED IN LAST YEAR 337 hosrel4 RELS HOSPITALIZED BETW 5 & 1 YRS AGO 338 death5 RELATIVES DIED IN LAST 5 YRS 338 death16 RELATIVES DIED SINCE AGE 16 338 padeath DEATH OF FATHER 339 madeath DEATH OF MOTHER 339 chlddth DEATH OF CHILD 340 sibdeath DEATH OF SIBLING 340 spdeath DEATH OF SPOUSE 341 trauma1 TRAUMA SCALE, LAST YEAR 341 trauma5 TRAUMA SCALE, LAST 5 YEARS 341 trarel1 TRAUMA OF RELATIVES, LAST YEAR 342 trarel5 TRAUMA OF RELATIVES, LAST 5 YRS 342 tratot1 TRAUMA LAST YEAR, SELF & RELATIVES 342 tratot5 TRAUMA LAST 5 YRS, SELF & RELATIVES 343 defspdr DEFENSE SPENDING--RS POSITION 343 defspdfg DEFENSE SPENDING--GOVT POSITION 344 hlpminr HELP MINORITIES--RS POSITION 344 hlpminfg HELP MINORITIES--GOVT POSITION 345 cutspdr CUT GOVT SPENDING--RS POSITION 345 cutspdfg CUT GOVT SPENDING--GOVT POSITION 346 impfam FAMILY AND CHILDREN 346 impwork CAREER AND WORK 347 imprelax FREE TIME AND RELAXATION 347 impfrend FRIENDS AND ACQUAINTANCES 347 impkin RELATIVES 348 impchurh RELIGION AND CHURCH 348 imppol POLITICS AND PUBLIC LIFE 348 privacy IS R CONCERNED ABOUT PRIVACY? 349 civic DOES R FOLLOW PUBLIC AFFAIRS? 349 rushed HOW OFTEN R FEELS RUSHED 350 bored HOW OFTEN DOES R HAVE EXTRA TIME 350 pollgood DO SURVEYS SERVE GOOD PURPOSE 351 polltrue TRUST RESULTS OF SURVEYS 351 feserve MANDATORY CONSCRIPTION FOR FEMALES? 352 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xvii item page meserve MANDATORY CONSCRIPTION FOR MALES? 352 taxserve FAVOR CONSCRIPTION GIVEN TAXES? 353 milqual QUALITY OF PERSONS IN MILITARY 353 milpay PAY AND BENEFITS FOR MILITARY PERSONNEL 354 fenumok NUMBER OF WOMEN IN MILITARY 354 hinumok NUMBER OF HISPANICS IN MILITARY 355 blnumok NUMBER OF BLACKS IN MILITARY 355 hinumoky NUMBER HISPANICS IN MILITARY-VERSION Y 356 blnumoky NUMBER OF BLACKS IN MILITARY-VERSION Y 356 milvolok HOW WELL HAS VOLUNTEER MILITARY WORKED? 357 fightair WOMEN AS JET FIGHTER PILOTS 357 mechanic WOMEN AS TRUCK MECHANIC 358 nurse WOMEN AS NURSES IN COMBAT ZONE 358 typist WOMEN AS TYPIST IN PENTAGON 358 brass WOMEN IN COMMAND OF MILITARY BASES 359 fightlnd WOMEN IN HAND-TO-HAND COMBAT 359 transair WOMEN AS JET TRANSPORT PILOT 359 gunner WOMEN AS AIR DEFENSE GUNNER IN U.S. 360 fightsea WOMEN AS CREW MEMBER OF COMBAT SHIP 360 fefight ARE WOMEN ASSIGNED TO COMBAT 360 fedirty ARE WOMEN ASSIGNED TO DIRTY JOBS 361 febrass DO WOMEN COMMAND OVER MEN 361 fehlpmil DO WOMEN RAISE EFFECTIVENESS OF MILITARY 362 draft RETURN TO THE DRAFT? 362 draftfe IF RETURN TO DRAFT, DRAFT WOMEN? 363 draftem IF EMERGENCY, RETURN TO DRAFT? 363 draftfem IF EMERGENCY, DRAFT WOMEN ALSO? 364 draftcol COLLEGE STUDENTS EXEMPT FROM DRAFT? 364 draftmar MARRIED PERSONS EXEMPT FROM DRAFT? 365 draftpar PARENTS OF SMALL CHLDRN EXEMPT FRM DRAFT 365 draftgay GAYS EXEMPT FROM DRAFT? 365 draftco CONSCIENTIOUS OBJECTOR EXEMPT FROM DRAFT 366 draftdef DEFENSE OCCUPATIONS EXEMPT FROM DRAFT? 366 vetfam FAMILY MEMBERS SERVED IN ARMED FORCES? 366 vetfamnw ANY FAMILY MEMBERS IN ARMED FORCES NOW 367 minmilop MIN OPPORTUNITIES BETTER IN MILITARY? 367 femilop FEM OPPORTUNITIES BETTER IN MILITARY? 368 copunish PUNISH DRAFT RESISTERS? 368 cojail JAIL DRAFT RESISTERS? 369 milokme MILITARY SERVICE GOOD EXPERIENCE FOR MEN 369 milokfe MIL SERVICE GOOD EXPERIENCE FOR WOMEN 370 upgrade REFUSE VOLS WITH NO BASIC SKILLS? 370 jobtrain OBLIGATION TO TRAIN FOR CIVILIAN JOBS? 371 nukewar POSSIBILITY OF AN ALL-OUT ATOMIC WAR 371 landwar POSSIBILITY OF A CONVENTIONAL GROUND WAR 372 morenuke POSSIBILITY OF INCREASING ARMS RACE 372 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xviii item page lessnuke POSSIBILITY OF REDUCING ATOMIC WEAPONS 373 nonuke POSSIBILITY ELIMINATING ATOMIC WEAPONS 373 guerilla POSSIBILITY OF GUERILLA WARS 374 vetaid ANY IN HH RECEIVE MIL OR VET BENEFITS 374 defwrkev EVER WORK FOR MILITARY SUPPLIER? 375 defwrknw CURRENTLY WORK FOR MILITARY SUPPLIER? 375 milwrkev EVER WORK FOR MILITARY OR DOD? 376 milwrknw CURRENTLY WORK FOR MILITARY OR DOD? 376 resdefwk LOCAL ECONOMY DEPENDS ON DEFENSE WORK? 377 obvote OBLIGATION--VOTING IN ELECTIONS 377 obvol OBLIGATION--COMMUNITY SERVICE 378 objury OBLIGATION--JURY DUTY 378 ob911 OBLIGATION--REPORTING A CRIME 379 obeng OBLIGATION--BEING ABLE TO SPEAK ENGLISH 379 obknow OBLIGATION--KEEPING INFORMED 380 obmepax OBLIGATION--PEACETIME MIL SERVICE-MEN 380 obmewar OBLIGATION--WARTIME MIL SERVICE-MEN 381 obfepax OBLIGATION--PEACETIME MIL SERVICE-FEMALE 381 obfewar OBLIGATION--WARTIME MIL SERVICE-FEMALE 382 helppoor SHOULD GOVT IMPROVE STANDARD OF LIVING? 382 helpnot SHOULD GOVT DO MORE OR LESS? 383 helpsick SHOULD GOVT HELP PAY FOR MEDICAL CARE? 383 helpblk SHOULD GOVT AID BLACKS? 384 scisolve SCIENCE WILL SOLVE SOCIAL PROBLEMS 384 scichng SCIENCE CHANGES WAY OF LIFE TOO FAST 385 scipry SCIENTISTS PRY INTO THINGS THEY OUGHTNT 385 scimoral SCIENCE BREAKS DOWN IDEAS OF RIGHT&WRONG 386 switched HAS R EVER HAD A DIFFERENT RELIGION 386 switch1 WHAT WAS RS FIRST RELIGIOUS PREFERENCE 387 switch2 WHAT WAS RS SECOND RELIGIOUS PREFERENCE 388 switch3 WHAT WAS RS THIRD RELIGIOUS PREFERENCE 389 switnum HOW MANY RELIGIOUS PREFERENCES MENTIONED 390 switage1 HOW OLD WAS R WHEN FIRST SWITCHED 390 switage2 HOW OLD WAS R WHEN SECOND SWITCH 390 switwhy1 WHY DID R MAKE FIRST SWITCH 391 switwhy2 WHY DID R MAKE SECOND SWITCH 392 marelig WHAT WAS MOTHERS RELIGIOUS PREFERENCE 393 maden WHAT WAS MOTHERS RELIGIOUS DENOMINATION 394 maoth OTHER PROTESTANT DENOMINATION FOR MOTHER 395 majew WHAT SORT OF JEW WAS RS MOTHER 395 mafund HOW FUNDAMENTALIST WAS RS MOTHER 396 parelig WHAT WAS FATHERS RELIGIOUS PREFERENCE 396 paden WHAT WAS FATHERS RELIGIOUS DENOMINATION 397 paoth OTHER PROTESTANT DENOMINATION FOR FATHER 398 pajew WHAT SORT OF JEW WAS RS FATHER 398 pafund HOW FUNDAMENTALIST WAS RS FATHER 399 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xix item page churhsch NUMBER OF YEARS R ATTENDED CHURCH SCHOOL 399 sunsch16 HOW FREQUENTLY R ATTENDED SUNDAY SCHOOL 400 grace16 DID RS FAMILY SAY GRACE AT MEALS 400 join16 WAS R EVER CONFIRMED AS MEMBER OF CHURCH 401 lapsed DID R EVER LAPSE IN CHURCH ATTENDANCE 401 churhmem IS R A MEMBER OF CHURCH OR SYNAGOGUE 402 churhact DOES R PARTICIPATE IN CHURCH ACTIVITIES 402 tvrelig HOURS PER WEEK R WATCHES RELIGIOUS TV 403 god RS CONFIDENCE IN THE EXISTENCE OF GOD 403 reborn BORN AGAIN 404 savesoul TRIED TO CONVINCE OTHERS TO ACCEPT JESUS 404 saygrace DOES RS FAMILY SAY GRACE BEFORE MEALS 405 readword HOW OFTEN DID R READ BIBLE LAST YEAR 405 punsin R AGREES THAT SINNERS MUST BE PUNISHED 406 blkwhite R AGREES RIGHT & WRONG NOT BLACK & WHITE 406 rotapple R AGREES IMMORAL PERSON CORRUPTS SOCIETY 407 permoral R AGREES THAT MORALITY A PERSONAL MATTER 407 decbible IMPORTANCE OF BIBLE IN MAKING DECISIONS 408 decoths IMP. OF FAMILY&FRIENDS TO MAKE DECISIONS 408 decchurh IMP OF CHURCH TEACHINGS TO MAKE DECISION 409 decself IMP OF PERSONAL JUDGMNT TO MAKE DECISION 409 gochurch IMPORTANCE OF ATTENDING CHURCH REGULARLY 410 believe IMPORTANCE OF BELIEVING IN GOD W O DOUBT 410 follow IMPORTANCE OF FOLLOWING CHURCH TEACHINGS 411 goownway IMPORTANCE OF FOLLOWING OWN CONSCIENCE 411 myfaith DEGREE TO WHICH FAITH IS FREE OF DOUBT 412 madatgod HOW OFTEN R FEELS ANGRY AT GOD 412 doubts1 HAS EVIL IN THE WORLD CAUSED R DOUBT 413 doubts2 HAS PERSONAL SUFFERING CAUSED R DOUBT 413 doubts3 HAS SCIENCE-FAITH CONFLICT CAUSED DOUBT 414 doubts4 HAS FEELING O'MEANINGLSSNSS CAUSED DOUBT 414 faith1 HAS DEATH IN FAMILY STRENGTHENED FAITH 415 faith2 HAS BIRTH OF CHILD STRENGTHENED FAITH 415 faith3 HAS MARRIAGE STRENGTHENED FAITH 416 faith4 HAS SEXUAL PLEASURE STRENGTHENED FAITH 416 frndcon1 DOES FRIEND 1 BELONG TO RS CONGREGATION 417 frndcon2 DOES FRIEND 2 BELONG TO RS CONGREGATION 417 frndcon3 DOES FRIEND 3 BELONG TO RS CONGREGATION 418 frndcon4 DOES FRIEND 4 BELONG TO RS CONGREGATION 418 frndcon5 DOES FRIEND 5 BELONG TO RS CONGREGATION 419 frndrel1 WHAT IS FRIEND 1S RELIGIOUS PREFERENCE 419 frndrel2 WHAT IS FRIEND 2S RELIGIOUS PREFERENCE 420 frndrel3 WHAT IS FRIEND 3S RELIGIOUS PREFERENCE 420 frndrel4 WHAT IS FRIEND 4S RELIGIOUS PREFERENCE 421 frndrel5 WHAT IS FRIEND 5S RELIGIOUS PREFERENCE 421 frndden1 WHAT IS FRIEND 1S SPECIFIC DENOMINATION 422 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xx item page frndden2 WHAT IS FRIEND 2S SPECIFIC DENOMINATION 423 frndden3 WHAT IS FRIEND 3S SPECIFIC DENOMINATION 424 frndden4 WHAT IS FRIEND 4S SPECIFIC DENOMINATION 425 frndden5 WHAT IS FRIEND 5S SPECIFIC DENOMINATION 426 frndoth1 WHAT IS FRIEND 1S OTHER PROT DENOM 427 frndoth2 WHAT IS FRIEND 2S OTHER PROT DENOM 427 frndoth3 WHAT IS FRIEND 3S OTHER PROT DENOM 428 frndoth4 WHAT IS FRIEND 4S OTHER PROT DENOM 428 frndoth5 WHAT IS FRIEND 5S OTHER PROT DENOM 429 frndfnd1 FUND.-LIB. OF 1ST FRIEND 429 frndfnd2 FUND.-LIB. OF 2ND FRIEND 430 frndfnd3 FUND.-LIB. OF 3RD FRIEND 430 frndfnd4 FUND.-LIB. OF 4TH FRIEND 431 frndfnd5 FUND.-LIB. OF 5TH FRIEND 431 frndrac1 WHAT IS FRIEND 1S RACE 432 frndrac2 WHAT IS FRIEND 2S RACE 432 frndrac3 WHAT IS FRIEND 3S RACE 433 frndrac4 WHAT IS FRIEND 4S RACE 433 frndrac5 WHAT IS FRIEND 5S RACE 434 friends HAVE ANY GOOD FRIENDS FEELING CLOSE 434 numfrend ABOUT HOW MANY GOOD FRIENDS DO YOU HAVE 435 numbwfrd GOOD FRIENDS WHO ARE WHITE-BLACK 435 bwfriend FRIENDS BLACK OR WHITE 435 godsells RELIGIOUS IMAGE TO SELL PRODUCTS 436 godsport PRO-ATHELETES GIVING THANKS TO GOD 436 givecong GIVEN MONEY TO LOCAL CONGREGATION 437 giverel GIVEN MONEY OTHER RELIGIOUS ORG 437 giveoth GIVEN MONEY NON-RELIGIOUS CHARITIES 437 givearts CONTRIBUTIONS TO ARTS CULTURE HUMANITIES 438 relhrs1 HOURS RELIGIOUS ACT IN HOME 438 relhrs2 HOURS RELIGIOUS ACT OUTSIDE OF HOME 439 numcong NUMBER OF MEMBERS OF THE CONGREGATION 439 kid5up HAVE CHILDREN OLDER THAN 5 439 pubsch ALL CHILDREN ATTEND PUB ELEM & HI SCHOOL 440 homesch CHILDREN ATTEND HOME SCHOOLING 440 cathsch CHILDREN ATTEND CATHOLIC SCHOOL 440 chrissch CHILDREN ATTEND CHRISTIAN SCHOOL 441 relsch CHILDREN ATTEND OTHER CHURCH SCHOOL 441 privsch CHILDREN ATTEND PRIVATE SECULAR SCHOOL 441 othsch CHILDREN ATTEND OTHER SCHOOL 442 shoprel EVER SHOPPED AROUND FOR A CHURCH 442 shopmove SHOPPED AROUND BECAUSE HAD MOVED 443 shopnum HOW MANY CHURCHES DID YOU VISIT 443 ownthing YOUTHFUL PROTEST IS GOOD 444 talkback TALKING BACK TO PARENTS IS BAD 444 twoclass WEAK VS. STRONG 445 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxi item page openmind TREAT DISSENTERS WITH LENIENCY 445 whypoor1 POOR SCHOOLS 446 whypoor2 LOOSE MORALS AND DRUNKENNESS 446 whypoor3 NOT ENOUGH JOBS 447 whypoor4 LACK OF EFFORT 447 socdif1 INCOME DIFFERENCES AN INCENTIVE 448 socdif2 PAID WHAT YOU NEED 448 socdif3 STUDY FOR YEARS TO GET HIGH PAY 449 socdif4 DONT GIVE EQUAL CHANCE 449 wlthwhts RICH - POOR 450 wlthjews RICH - POOR 450 wlthblks RICH - POOR 451 wlthasns RICH - POOR 451 wlthhsps RICH - POOR 451 wlthso RICH - POOR 452 workwhts HARD WORKING - LAZY 452 workjews HARD WORKING - LAZY 453 workblks HARD WORKING - LAZY 453 workasns HARD WORKING - LAZY 453 workhsps HARD WORKING -LAZY 454 workso HARD WORKING - LAZY 454 violwhts VIOLENT - NOT VIOLENT 455 violjews VIOLENT - NOT VIOLENT 455 violblks VIOLENT - NOT VIOLENT 456 violasns VIOLENT - NOT VIOLENT 456 violhsps VIOLENT - NOT VIOLENT 456 violso VIOLENT - NOT VIOLENT 457 intlwhts UNINTELLIGENT -INTELLIGENT 457 intljews UNINTELLIGENT - INTELLIGENT 457 intlblks UNINTELLIGENT - INTELLIGENT 458 intlasns UNINTELLIGENT - INTELLIGENT 458 intlhsps UNINTELLIGENT - INTELLIGENT 458 intlso UNINTELLIGENT - INTELLIGENT 459 farewhts SELF SUPPORTING - LIVE OFF WELFARE 459 farejews SELF SUPPORTING - LIVE OFF WELFARE 460 fareblks SELF SUPPORTING - LIVE OFF WELFARE 460 fareasns SELF SUPPORTING - LIVE OFF WELFARE 460 farehsps SELF SUPPORTING - LIVE OFF WELFARE 461 fareso SELF SUPPORTING - LIVE OFF WELFARE 461 patrwhts UNPATRIOTIC - PATRIOTIC 461 patrjews UNPATRIOTIC - PATRIOTIC 462 patrblks UNPATRIOTIC - PATRIOTIC 462 patrasns UNPATRIOTIC - PATRIOTIC 462 patrhsps UNPATRIOTIC - PATRIOTIC 463 patrso UNPATRIOTIC - PATRIOTIC 463 livejews NEIGHBORHOOD HALF JEWISH 464 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxii item page liveblks NEIGHBORHOOD HALF BLACK 464 liveasns NEIGHBORHOOD HALF ASIAN 465 livehsps NEIGHBORHOOD HALF HISPANIC 465 liveno NEIGHBORHOOD HALF NORTHERN WHITE 466 liveso NEIGHBORHOOD HALF SOUTHERN WHITE 466 marjew CLOSE RELATIVE MARRY JEW 467 marblk CLOSE RELATIVE MARRY BLACK 467 marasian CLOSE RELATIVE MARRY ASIAN 468 marhisp CLOSE RELATIVE MARRY HISPANIC 468 marno CLOSE RELATIVE MARRY NO. WHITE 469 marso CLOSE RELATIVE MARRY SO. WHITE 469 workfare WORK TO GET WELFARE 470 lessfare IF LESS WELFARE MORE WILL WORK 470 povzone TAX BREAKS FOR POOR AREAS 471 povschs SPEND MORE ON POOR SCHOOLS 471 povcol GIVE COLLEGE AID TO POOR 472 blkzone TAX BREAKS FOR BLACK AREAS 472 blkschs SPEND MORE ON BLACK SCHOOLS 473 blkcol GIVE COLLEGE AID TO BLACKS 473 racquota FORBID RACIAL JOB QUOTAS 474 influwht INFLUENCE OF WHITES 474 influjew INFLUENCE OF JEWS 475 influblk INFLUENCE OF BLACKS 475 influasn INFLUENCE OF ASIANS 476 influhsp INFLUENCE OF HISPANICS 476 influso INFLUENCE OF SO. WHITES 477 hspjobs HISPANICS DISCRIMINATED IN JOBS 477 blkjobs BLACKS DISCRIMINATED IN JOBS 478 asnjobs ASIANS DISCRIMINATED IN JOBS 478 hsphouse HISPANICS DISCRIMINATED IN HOUSING 479 blkhouse BLACKS DISCRIMINATED IN HOUSING 479 asnhouse ASIANS DISCRIMINATED IN HOUSING 480 racwork RACIAL MAKEUP OF WORKPLACE 480 affact RS FIRM HAS AFF. ACTION PROGRAM 481 discaff WHITES HURT BY AFF. ACTION 481 discwhy1 PERSONALLY EXPERIENCED IT 482 discwhy2 HAPPENED TO SOMEONE CLOSE 482 discwhy3 HAPPENED AT WORK 483 discwhy4 HEARD ABOUT IT IN MEDIA 483 discwhy5 HEARD ABOUT IT ELSEWHERE 483 discwhy6 OTHER SOURCES 484 genejob SHOULD EMPLOYERS GIVE GENETIC TESTS 484 genehire EMPLOYERS' RIGHT TO HIRE BY GENETIC TESTS 485 genecanx EMPLOYER TEST CANCER OR SAFE WORKPLACE 485 genecany EMPLOYERS' RIGHT TO HIRE BY CANCER TESTS 486 genegets EMPLOYER VS. EMPLOYEE ON ACCESS RIGHT TO RESULTS 486 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxiii item page profits1 WHETHER MANAGEMENT ONLY CARE ABOUT PROFIT 487 profits2 SHOULD CO. PAY WORKERS MORE THAN SHAREHOLDERS 487 unpower UNIONS IN THIS COUNTRY HAVE TOO LITTLE POWER 488 unprog UNIONS JUST BLOCK ECONOMIC PROGRESS 488 outofbiz THE ORGANIZATION WENT OUT OF BUSINESS 489 merged THE ORG. WAS MERGED, TAKEN OVER 489 reorg THERE WAS A MAJOR REORGANIZATION 489 orgfin R'S FINANCIAL SITUATION AFTER ORG. CHANGES 490 wrkyears # YEARS YOU HAVE WORKED FOR PAY SINCE WERE 16 490 evunemp EVER BEEN UNEMPLOYED TWO WEEKS + 491 numunemp HOW MANY TIMES UNEMPLOYED MORE THAN TWO WEEKS 491 totunemp TOTAL TIMES UNEMPLOYED 492 empyears YEARS WORKED FOR YOUR PRESENT EMPLOYER 492 fndjob1 HEARD JOB FROM ONE ALREADY WORKED THERE 493 fndjob2 HEARD JOB FROM RELATIVES 493 fndjob3 HEARD JOB FROM FRIENDS 494 fndjob4 HEARD JOB FROM ACQUAINTANCES 494 fndjob5 HEARD JOB FROM NEWSPAPER AD 494 fndjob6 HEARD JOB THROUGH EMPLOYMENT AGENCY 495 fndjob7 HEARD JOB FROM RECRUITER FOR THIS EMPLOYER 495 fndjob8 HEARD JOB JUST CAME HERE AND ASKED FOR WORK 495 fndjob9 HEARD JOB OTHER (SPECIFY) 496 intltest BEFORE GOT THE JOB TOOK AN INTELLEGENCE TEST 496 skiltest BEFORE GOT THE JOB TOOK A SKILL TEST 497 drugtest PEOPLE WITH SECRET SHOULD BE SUBJECT TO DRUG TES 497 physical BEFORE GOT THE JOB TOOK A PHYSICAL TEST 497 ltrsref SUPPLY LETTERS OF REFERENCE 498 samejob CURRENT JOB SAME OR DIFFERENT FROM FIRST JOB 498 jobyears FOR HOW LONG HAVE YOU HAD YOUR PRESENT JOB 498 thisjob1 HEARD JOB FROM A NOTICES POSTED MY WORKPLACE 499 thisjob2 HEARD JOB THROUGH MY UNION 499 thisjob3 HEARD JOB FROM MY SUPERVISOR 499 thisjob4 HEARD JOB FROM ONE OF MY COWORKERS 500 thisjob5 HEARD JOB I NEAR THE TOP OF A SENIORITY LIST 500 thisjob6 HEARD JOB I WAS ASKED TO TAKE THE NEW JOB 500 thisjob7 HEARD JOB OTHERS (SPECIFY) 501 promotng PROCEDURES FOR PROMOTION 501 promoted EVER PROMOTED BY CURRENT EMPLOYER 502 numpromo # PROMOTIONS HAVE YOU RECEIVED 502 imppromo IMPORTANCE OF THE OPPORTUNITY TO BE PROMOTED 503 futpromo HOW LIKELY YOU WILL BE PROMOTED NEXT FIVE YEARS 503 sexpromo SEX MAKES YOUR PROMOTION DIFFERENT 504 racpromo ETHNIC BACKGROUND MAKES YOUR PROMOTION DIFFERNT 504 advances HAVE YOU ADVANCED, SAME LEVEL OR LOST 505 jobcntrl WHO MAKES DECISION FOR YOUR JOB 505 wrkindep I CAN WORK INDEPENDENTLY 506 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxiv item page lottosay I HAVE A LOT TO SAY ON MY JOB 506 idecide MY JOB ALLOWS ME MAKE PART DECISIONS 507 automatn MY JOB IS CONTROLLED BY MY MACHINE 507 monitred COMPUTERS MONITOR MY JOB PERFORMANCE 508 offsup DO YOU SUPERVISE THE WORK OF OTHER EMPLOYEES 508 yousup HOW MANY PEOPLE DO YOU SUPERVISE DIRECTLY 508 supothrs ANY PEOPLE SUPERVISED BY YOU SUPERVISE OTHERS 509 levels HOW MANY LEVELS OF SUPERVISION BENEATH YOU 509 totsup HOW MANY PEOPLE RESPONSIBLE TO YOU 509 supduty1 YOU TRAIN EMPLOYEES SAFE USE EQUIPMENT 510 supduty2 YOU TRAIN EMPLOYEES IN OTHER WAYS 510 supduty3 YOU ORGANIZE SCHEDULES OR TASKS 511 supduty4 YOU DEVISE NEW WAYS OF DOING TASKS 511 supduty5 YOU CHECK WORKERS' PROGRESS,ATTENDANCE 511 supduty6 YOU EVALUATE JOB PERFORMANCE 512 supduty7 YOU TAKE PROMOTIONS OR DISCIPLINARY ACTIONS 512 othduty1 YOU TRAIN EMPLOYEES SAFE USE EQUIP. NOT SUPERVIS 513 othduty2 YOU TRAIN EMPLOYEES IN OTHER WAYS, NOT SUPERVISE 513 othduty3 YOU ORGANIZE SCHEDULES OR TASKS, NOT SUPERVISE 514 othduty4 YOU DEVISE NEW WAYS OF DOING TASKS, NOT SUPERVIS 514 othduty5 YOU CHECK PROGRESS OR ATTENDANCE, NOT SUPERVISE 514 othduty6 YOU EVALUATE JOB PERFORMANCE, NOT SUPERVISE 515 othduty7 YOU PROMOT OR DISCIPLINe ACTIONS, NOT SUPERVISE 515 orgmoney PARTICIPATE IN DECISIONS ABOUT ORG'S MONEY 515 totmoney HOW MUCH MONEY IN THE LARGEST OF THESE DECISIONS 516 youmoney LARGEST DECISION IN WHICH YOU HAD THE FINAL SAY 516 jobjudge SOMEONE EVALUATE YOUR PERFORMANCE REGULARLY 516 quantity HOW EASY YOUR SUPERVISOR KNOW HOW MUCH YOU DO 517 quality HOW EASY YOUR SUPERVISOR KNOW HOW GOOD YOU ARE 517 wrkwell HOW WELL YOU COMPARE TO PEOPLE DO SAME JOB 518 wrkmuch HOW MUCH YOU COMPARE TO PEOPLE DO SAME JOB 518 imatter SUCCESS OF MY ORG. DEPENDS LOT ON HOW WELL I DO 519 helporg I WILLING WORK HARDER THAN I HAVE TO TO HELP ORG 519 notloyal I FEEL VERY LITTLE LOYALTY TO THIS ORG. 520 stayorg1 WOULD TAKE ANY JOB TO KEEP WORKING FOR THIS ORG. 520 samevals MY VALUES AND THE ORG.'S VALUES ARE VERY SIMILAR 521 proudorg PROUD TO BE WORKING FOR THIS ORG. 521 stayorg2 TURN DOWN ANOTHER JOB FOR PAY TO STAY THIS ORG. 522 noticed PEOPLE USUALLY NOTICE WHEN I DO MY JOB WELL 522 chngeorg HOW LIKELY I'LL TRY TO FIND JOB IN ANOTHER ORG. 523 othpay GET COMMISSIONS, BONUSES, TIPS FROM MAIN JOB 523 raiseall ALL WORKERS REGARDLESS OF PERFORMANCE GOT RAISE 524 raisehrd WORKERS WHO WORK HARD AND PERFORM WELL GOT RAISE 524 raisefav WORKERS HAVE FAVORED RELATION TO BOSS GOT RAISE 525 fringe1 MEDICAL OR HOSPITAL INSURANCE 525 fringe2 DENTAL CARE BENEFITS 526 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxv item page fringe3 LIFE INSURANCE 526 fringe4 SICK LEAVE WITH FULL PAY 526 fringe5 MATERNITY LEAVE WITH FULL RE-EMPLOYMENT RIGHTS 527 fringe6 FLEXIBLE HOURS, OR FLEXTIME SCHEDULING 527 fringe7 CASH OR STOCK BONUSES FOR PERFORMANCE OR MERIT 527 fringe8 A PENSION OR RETIREMENT PROGRAM 528 fringe9 PROFIT SHARING OR STOCK OPTION PROGRAM 528 fringe10 INFORMATION ABOUT CHILD CARE SERVICES IN COMPANY 528 fringe11 ASSISTANCE WITH THE COSTS OF DAY CARE FOR CHILDR 529 jobvshme HOW OFTEN YOUR FAMILY INTERFERED WITH YOUR JOB 529 unvote WOULD YOU VOTE FOR OR AGAINST HAVING A UNION 530 unmanrel RELATIONS BETWEEN MANAGEMENT AND WORKERS 530 cowrkrel RELATIONS BETWEEN COWORKERS 531 schoolng IMPORTANCE FORMAL SCHOOL FOR YOU JOB 531 training IMPORTANCE OF ON-THE-JOB TRAINING FOR YOU JOB 532 learning IMPORTANCE OF LEARNING FROM CO-WORKERS FOR YOU J 532 exptrain IMPORTANCE OF DIFFERENT EMPLOYER TRAINING FOR JO 533 wherewrk HOW DO YOU DESCRIBE WHERE YOU WORK 533 findout CAN FIND OUT WHERE YOU WILL BE WORKING 534 baseofop YOU HAVE BASE OF OPERATIONS 534 splocnum # OF WORKERS AT THE LOCATION YOUR SPOUSE WORKS 535 standup STAND UP FOR YOUR OWN OPINION 535 selfirst TAKE CARE OF YOURSELF FIRST BEFORE OTHERS 536 richpoor OK TO GET RICH EVEN IF OTHERS POOR 536 opoutcme SHOULD AMER PROMOTE EQ OPPTY OR EQ OUTCOMES? 537 united AMERICANS UNITED OR DIVIDED ON VALUES 537 obtohelp OBLIGATION TO CARE FOR ILL PARENT OR SPOUSE? 538 lfegod LIFE OUTCOME DECIDED BY GOD 538 lfegenes SOME WITH BETTER GENES THAN OTHERS 539 lfesocty SOCIETY GIVES SOME HEAD START & HOLDS BACK OTHER 539 lfehrdwk SOME PEOPLE WORK HARDER THAN OTHERS 540 lfechnce LIFE IS A MATTER OF CHANCE 540 bigband LIKE OR DISLIKE BIGBAND MUSIC 541 blugrass LIKE OR DISLIKE BLUEGRASS MUSIC 541 country LIKE OR DISLIKE COUNTRY WESTERN MUSIC 542 blues LIKE OR DISLIKE BLUES OR R AND B MUSIC 542 musicals LIKE OR DISLIKE BROADWAY MUSICALS 543 classicl LIKE OR DISLIKE CLASSICAL MUSIC 543 folk LIKE OR DISLIKE FOLK MUSIC 544 gospel LIKE OR DISLIKE GOSPEL MUSIC 544 jazz LIKE OR DISLIKE JAZZ 545 latin LIKE OR DISLIKE LATIN MUSIC 545 moodeasy LIKE OR DISLIKE EASY LISTENING MUSIC 546 newage LIKE OR DISLIKE NEW AGE MUSIC 546 opera LIKE OR DISLIKE OPERA 547 rap LIKE OR DISLIKE RAP MUSIC 547 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxvi item page reggae LIKE OR DISLIKE REGGAE MUSIC 548 conrock LIKE OR DISLIKE CONTEMPORARY ROCK MUSIC 548 oldies LIKE OR DISLIKE OLDIES ROCK MUSIC 549 hvymetal LIKE OR DISLIKE HEAVY METAL MUSIC 549 attsprts ATTENDED SPORTS EVENT IN LST YR 550 visitart VISITED ART MUSEUM OR GALLERY IN LST YR 550 makeart MADE ART OR CRAFT OBJECT IN LST YR 551 autorace ATTENDED AUTO RACE IN LST YR 551 camping WENT CAMPING IN LST YR 551 garden GREW VEGETABLES OR FLOWERS IN GARDEN IN LST YR 552 dance ATTENDED DANCE PERF IN LST YR 552 gomusic ATTENDED CLASSICAL OR OPERA IN LST YR 552 huntfish WENT HUNTING OR FISHING IN LST YR 553 perform PERFORMED MUSIC, DANCE, THEATER IN LST YR 553 dosports PLAYED SPORTS IN LST YR 554 seemovie WENT TO A MOVIE IN LST YR 554 usevcr USED VCR IN LST YR 554 plymusic PLAYED A MUSICAL INSTRUMENT IN LST YR 555 tvshows HOW OFTEN R WATCHES TV DRAMA OR SITCOMS 555 tvnews HOW OFTEN R WATCHES TV NEWS 556 tvpbs HOW OFTEN R WATCHES PUBLIC TV SHOWS 556 judgeart ONLY A FEW PEOPLE CAN JUDGE ART 557 trstprof TRUST PROFS JUDGEMENTS IN ASSIGNING READING 557 classics HS AND COLL STUDTS READ TOO MANY CLASSICS 558 grtbooks APPEAL OF GREATEST BOOKS IS UNIVERSAL 558 modpaint MODERN PAINTING IS JUST SLAPPED ON 559 english BETTER IF ENGLISH IS ONLY LANGUAGE USED IN SCHOO 559 pclit SHAME TRADL AMER LIT IGNORED FOR MINORITY LIT 560 excelart ARTISTIC EXCELLENCE FOUND IN FOLK ART 560 hosthome UNCOMF ENTERTAINING STRANGERS AT HOME 561 frdcreat DESIR QUALITIES OF FRIEND: CREATIVE 561 frdcultr DESIR QUALITIES OF FRIEND: CULTURED 562 frddynam DESIR QUALITIES OF FRIEND: DYNAMIC 562 frdfun DESIR QUALITIES OF FRIEND: FUN-LOVING 563 frdhonst DESIR QUALITIES OF FRIEND: HONEST 563 frdintel DESIR QUALITIES OF FRIEND: INTELLIGENT 564 frdresp DESIR QUALITIES OF FRIEND: RESPONSIBLE 564 impfinan IMP TO R OF FINANCIAL SECURITY 565 impmar IMP TO R OF BEING MARRIED 565 impkids IMP TO R OF HAVING CHILDREN 566 impgod IMP TO R OF HAVING FAITH IN GOD 566 impthngs IMP TO R OF HAVING NICE THINGS 567 impcultr IMP TO R OF BEING CULTURED 567 impjob IMP TO R OF HAVING A FULFILLING JOB 568 impself IMP TO R OF BEING SELF-SUFFICIENT 568 mostimp1 MOST IMP EVENT IN LST 60 YRS 569 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxvii item page mostimp2 2ND MOST IMP EVENT IN LST 60 YRS 569 mostimp3 3RD IMP EVENT IN LST 60 YRS 570 mostimp4 4TH IMP EVENT IN LST 60 YRS 570 colmajr1 R MAJOR IN COLLEGE 571 colmajr2 R 2ND MAJOR IN COLLEGE 572 hsclass1 R FAVORITE SUBJECT IN HS 573 hsclass2 R 2ND FAVORITE SUBJECT IN HS 574 ethid R AMERICAN VS ETHNIC IDENTITY 575 amissue DEGREE R INVOKES JUST AMERICAN IDENTITY 575 ethissue DEGREE R INVOKES ETHNIC IDENTITY 576 ethid1 R PRIMARY IDENTITY AS ETHNIC OR AMERICAN 576 amissue1 DEGREE R INVOKES PRIMARY IDENTITY AS AMERICAN 577 ethissu1 DEGREE R INVOKES PRIMARY IDENTITY AS ETHNIC 577 amrank AMERICAN QUALITY OF LIFE VS OTHER INDUS. NATIONS 578 amproud R PRIDE IN BEING AMERICAN 578 meltpot BETTER FOR A COUNTRY IF MAINTAIN DISTINCT CUSTOM 579 gvtapart SHOULD GOVT POLICY MAINTAIN DISTINCT CULTURES 579 gvtmelt SHOULD GOVT HELP BLEND CULTURES 580 ethorgs DO ETHNIC ORGS PROMOTE SEPARATISM 580 ethspkok ALLOW FREE SPEECH OFFENSIVE TO ETHNIC GROUPS 581 ethspkno BAN OPINIONS HARMFUL TO OTHER GROUPS 581 symptblk R FEEL SYMPATHY TOWARDS BLACKS 582 admirblk R EXPRESS ADMIRATION FOR BLACKS 582 bilinged SUPPORT OR OPPOSE BILINGUAL EDUCATION 583 engteach OPINION ON TEACHING CLASSES ONLY IN ENGLISH 583 engballt ATTITUDE TOWARD PRINTING BALLOTS ONLY IN ENGLISH 584 engoffcl FAVOR LAW MAKING ENGLISH THE OFFICIAL LANGUAGE 584 letin INCREASE OR DECREASE IMMIGRANTS TO US 585 hspasn10 CHANGE IN ETHNIC STATUS IN LOCAL COMMUNITY 585 immunemp WILL IMMIGRANTS FUEL UNEMPLOYMENT 586 immunite WILL IMMIGRANTS AFFECT NATIONAL UNITY 586 immfare IMMIGRANTS ELIGIBLE FOR GOVT ASSISTANCE? 587 undocwrk SHOULD ILLEGAL IMMIGRANTS GET WORK PERMITS? 587 undoccol ILLEGAL IMMIGRANTS ACCESS TO PUBLIC UNIVERSITIES 588 undockid US CITIZENSHIP FOR CHILDREN OF ILLEGAL IMMIGRANT 588 immpush ARE IMMIGRANTS DEMANDING TOO MANY RIGHTS? 589 immwrkup SHOULD IMMIGRANTS OVERCOME BIAS WITHOUT HELP 589 colaff CHANCE BLACKS GET TO COLLEGE AHEAD OF WHITES 590 colaffy CHANCE WHITES EXCLUDED FROM COLLEGE OVER BLACKS 590 discaffy CHANCE BLACKS PROMOTED AHEAD OF WHITES 591 jobaff FAVOR PREFERENCES IN HIRING BLACKS 591 owneth DO ETHIC POLITICIANS SERVE ETHNIC GROUPS BETTER 592 congeth SHOULD ETHNIC CONGRESSMEN RESPRESENT ETHNIC GROU 592 teacheth ETHNICITY OF COLLEGE FACULTY REFLECT STUDENTS 593 schleth ETHNICITY OR PROFESSIONAL SCHOOLS MIRROR STUDENT 593 ethhist MINORITY HISTORY ADDEQUATELY TAUGHT IN SCHOOL 594 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxviii item page whoteach SHOULD ONLY MINORITIES TEACH MINORITY HISTORY 594 whtgovt DO WHITES GET PROPER GOVT ATTENTION 595 blkgovt DO BLACKS GET PROPER GOVT ATTENTION 595 hspgovt DO HISPANIC-AMERICANS GET PROPER GOVT ATTENTION 596 asngovt DO ASIAN-AMERICANS GET PROPER GOVT ATTENTION 596 wlthimm ARE LEGAL IMMIGRANTS RICH OR POOR 597 wlthundc ARE ILLEGAL IMMIGRANTS RICH OR POOR 597 workimm ARE LEGAL IMMIGRANTS HARD WORKING 598 workundc ARE ILLEGAL IMMIGRANTS HARD WORKING 598 obrespct TEACH CHILDREN RESPECT FOR AUTHORITY AND OBEDIEN 599 econpast HAS NATIONAL ECONOMY IMPROVED LAST YEAR 599 pastup DEGREE OF IMPROVEMENT IN NATIONAL ECONOMY 600 pastdown DEGREE NATIONAL ECONOMY HAS GOTTEN WORSE 600 econfutr PREDICTIONS FOR NATIONAL ECONOMY IN NEXT YEAR 600 futrup DEGREE ECONOMY WILL IMPROVE IN NEXT YEAR 601 futrdown DEGREE ECONOMY WILL GET WORSE OVER NEXT YEAR 601 rdiscaff CHANCES FAMILY MEMBER NOT PROMOTED FOR OTHER RAC 602 rimmdisc CHANCES ILLEGAL IMMIGRANTS FAVORED OVER FAMILY 602 romance DO YOU HAVE A MAIN ROMANTIC INVOLVEMENT 603 livewith DO YOU LIVE TOGETHER? 603 haprom DESCRIBE YOUR ROMANTIC RELATIONSHIP? 604 willwed1 HOW LIKELY YOU TWO WILL GET MARRIED? 604 willwed2 IF RIGHT PERSON WOULD YOU MARRY? 605 hapgirls GIRLS' CHANCES FOR A HAPPY FAMILY LIFE 605 hapboys BOYS' CHANCES FOR A HAPPY FAMILY LIFE 606 fejobaff FOR OR AGAINST PREFERENTIAL HIRING OF WOMEN 606 tradmod MAN ALONE-BOTH RESPONSIBLE FOR PROVIDING INCOME 607 sharesep MAN AND WOMAN DO THINGS TOGETHER-SEPARATE 607 emoteoth MAN AND WOMAN EMOTIONALLY DEPENDENT-INDEPENDENT 608 rhmewrk HOW MUCH HOUSEWORK R DOES 608 sphmewrk HOW MUCH HOUSEWORK R'S SPOUSE DOES 609 fairhwrk DIVISION OF WORK UNFAIR TO YOU OR SPOUSE 609 earnmore WHO EARNS MORE MONEY? 610 famlife HOW SUCCESSFUL IN FAMILY LIFE 610 worklife HOW SUCCESSFUL IN WORK LIFE 611 balwkfam HOW SUCCESSFUL BALANCING WORK & FAMILY 611 refpromo REFUSE A JOB PROMOTION? 612 refmorwk TAKE ON ADDITIONAL PAID WORK? 612 refxhour REFUSE TO WORK OVERTIME OR EXTRA HOURS? 612 workless CUT BACK ON YOUR WORK? 613 noathome MISS A FAMILY OCCASION OR HOLIDAY? 613 nonurse UNABLE TO CARE FOR A SICK CHILD-RELATIVE? 613 nohmewrk UNABLE TO DO THE WORK AROUND THE HOUSE? 614 discaffm A MAN WON'T GET A JOB OR PROMOTION 614 discaffw A WOMAN WON'T GET A JOB OR PROMOTION 615 flextime ALLOW WORKERS MORE FLEXIBLE HOURS 615 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxix item page parleave OFFER PAID TIME OFF TO NEW PARENTS. 616 menben MEN BENEFIT FROM TRADITIONAL FAMILY 616 womenben WOMEN BENEFIT FROM TRADITIONAL FAMILY 617 chldben CHILDREN BENEFIT FROM TRADITIONAL FAMILY 617 allben EVERYONE BENEFIT FROM TRADITIONAL FAMILY 617 nooneben NO ONE BENEFIT FROM TRADITIONAL FAMILY 618 menhrt MEN HURT FROM TRADITIONAL FAMILY 618 womenhrt WOMEN HURT FROM TRADITIONAL FAMILY 618 chldhrt CHILDREN HURT FROM TRADITIONAL FAMILY 619 allhrt EVERYONE HURT FROM TRADITIONAL FAMILY 619 noonehrt NO ONE HURT FROM TRADITIONAL FAMILY 619 feless1 HOW IMPORTANT MEN WORK HARDER EXPLAIN 620 feless2 HOW IMPORTANT WOMENS FAMILY RESPONSIBILITIES 620 feless3 HOW IMPORTANT GIVE MEN BETTER PAYING JOBS 621 fekids1 HOW IMPORTANT WOMEN BIOLOGICALLY BETTER-SUITED 621 fekids2 HOW IMPORTANT WOMEN ARE TAUGHT FROM CHILDHOOD 622 fekids3 HOW IMPORTANT THE WAY SOCIETY IS SET UP 622 fekids4 HOW IMPORTANT MEN HAVE MORE FREEDOM 623 fekids5 HOW IMPORTANT IT IS GOD'S WILL 623 mebear CAN HUSBAND REFUSE TO SIRE CHILDREN 624 fehire SHOULD HIRE AND PROMOTE WOMEN 624 feminist THINK YOURSELF AS A FEMINIST? 625 fenews HOW OFTEN PAY ATTENTION TO WOMEN ISSUES 625 hmemaker FULL-TIME HOMEMAKERS LIVES IMPROVED 626 wrkclass WORKING-CLASS WOMENS LIVES IMPROVED 626 manprof PROFESSIONAL WOMENS LIVES IMPROVED 627 men MENS LIVES IMPROVED 627 children CHILDRENS LIVES IMPROVED 628 yourself R'S LIFE IMPROVED 628 probfix1 FIRST MENTION OF PROBLEM 629 probfix2 SECOND MENTION OF PROBLEM 629 probfix3 THIRD MENTION OF PROBLEM 630 probhlp1 FIRST MENTION TO HELP PROBLEM 630 probhlp2 SECOND MENTION TO HELP PROBLEM 630 probhlp3 THIRD MENTION TO HELP PROBLEM 631 vigversn VIGNETTE VERSION NUMBER 631 seriousp HOW SERIOUS R CONSIDERS (NAME'S) PROBLEM TO BE? 632 charactr HOW LIKELY CAUSED BY OWN BAD CHARACTER 632 imbalnce HOW LIKELY CAUSED BY A CHEMICAL IMBALANCE 633 wayraise HOW LIKELY CAUSED BY THE WAY WAS RAISED 633 stresses HOW OFTEN DOES R FIND WORK STRESSFUL 634 genetics HOW LIKELY CAUSED BY A GENETIC-INHERITED PROBLEM 634 godswill HOW LIKELY CAUSED BY GOD'S WILL 635 upsdowns HOW LIKELY EXPERIENCING NORMAL UPS-DOWNS OF LIFE 635 breakdwn HOW LIKELY EXPERIENCING A NERVOUS BREAKDOWN 636 mentlill HOW LIKELY EXPERIENCING A MENTAL ILLNESS 636 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxx item page physill HOW LIKELY IS EXPERIENCING A PHYSICAL ILLNESS 637 viglabel VIGNETTE LABEL 637 dectreat HOW ABLE TO MAKE OWN DECISIONS ABOUT THE TREATME 638 decmoney HOW ABLE TO MAKE OWN DECISIONS ABOUT MANAGING MO 638 imprvown HOW LIKELY WILL IMPROVE ON ITS OWN 639 imprvtrt HOW LIKELY WILL IMPROVE WITH TREATMENT 639 vignei HOW WILLING TO MOVE NEXT DOOR 640 vigsoc HOW WILLING SOCIALIZING WITH 640 vigfrnd HOW WILLING TO MAKE FRIENDS WITH 641 vigwork HOW WILLING WORKING CLOSELY WITH 641 viggrp HOW WILLING TO HAVE A GROUP HOME IN NEIGHBORHOOD 642 vigmar HOW WILLING MARRY INTO YOUR FAMILY? 642 hurtoth HOW LIKELY TO BE VIOLENT TOWARD OTHER 643 hurtself HOW LIKELY TO BE VIOLENT TOWARD HIM-HERSELF 643 tlkfam TALK THINGS OVER WITH FAMILY & FRIENDS 644 tlkclrgy TALK TO A MINISTER, PRIEST, RABBI ETC 644 meddoc GO TO A GENERAL MEDICAL DOCTOR 644 mentldoc GO TO A PSYCHIATRIST 645 mentloth GO TO A THERAPIST, OR COUNSELOR 645 sphealer GO TO A SPIRITUAL OR A NATURAL HEALER 645 selfhelp JOIN A SELF-HELP GROUP 646 otcmed TAKE NON-PRESCRIPTION MEDICATION 646 rxmed TAKE PRESCRIPTION MEDICATION 646 mentlhos CHECK INTO A MENTAL HOSPITAL 647 ortlkfm IN WHAT ORDER TALK THINGS OVER WITH FAMILY & FRI 647 ortlkclr IN WHAT ORDER TALK TO A MINISTER, PRIEST, RABBI 647 ormeddoc IN WHAT ORDER GO TO A GENERAL MEDICAL DOCTOR 648 ormntldc IN WHAT ORDER GO TO A PSYCHIATRIST FOR HELP 648 ormntlot IN WHAT ORDER GO TO A THERAPIST, OR COUNSELOR 648 orhealer IN WHAT ORDER GO TO A SPIRITUAL OR A NATURAL HEA 649 orslfhlp IN WHAT ORDER JOIN A SELF-HELP GROUP 649 orotcmed IN WHAT ORDER TAKE NON-PRESCRIPTION MEDICATION 649 orrxmed IN WHAT ORDER TAKE PRESCRIPTION MEDICATION 650 ormntlhs IN WHAT ORDER CHECK INTO A MENTAL HOSPITAL 650 mustdoc BE FORCED TO GET TREATMENT AT A CLINIC-DOCTOR 650 mustmed BE FORCED TO TAKE A PRESCRIPTION MEDICATION 651 musthosp BE FORCED TO BE ADMITTED TO A HOSPITAL 651 dangrslf BE FORCED TO BE ADMITTED TO A HOSPITAL IF HURT S 651 dangroth BE FORCED TO BE ADMITTED TO A HOSPITAL IF HURT O 652 medcare1 WHO SHOULD PAY THE COST OF MEDICAL CARE 652 medcare2 WHO SHOULD BE NEXT MOST RESPONSIBLE? 653 spmentl MORE OR LESS GOV. SPENDING FOR MENTAL HEALTH 653 govmentl GOV. RESP. PROVIDE MENTAL HEALTH CARE? 654 mntlas1 1ST MENTION, WHAT MENTAL ILLNESS IS, ASSERTED 654 mntlas2 2ND MENTION, WHAT MENTAL ILLNESS IS, ASSERTED 655 mntlimp1 1ST MENTION, WHAT MENTAL ILLNESS IS, IMPUTED 655 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxxi item page mntlimp2 2ND MENTION, WHAT MENTAL ILLNESS IS, IMPUTED 655 mntlimp3 3RD MENTION, WHAT MENTAL ILLNESS IS, IMPUTED 656 mntlsym1 1ST MENTION, WHAT MENTAL ILLNESS IS, SYMPTOMS 656 mntlsym2 2ND MENTION, WHAT MENTAL ILLNESS IS, SYMPTOMS 656 mntlsym3 3RD MENTION, WHAT MENTAL ILLNESS IS, SYMPTOMS 657 mntloth WHAT MENTAL ILLNESS IS, OTHER CODES 657 brkdas1 1ST MENTION, WHAT NERVOUS BREAKDOWN IS, ASSERTED 657 brkdas2 2ND MENTION, WHAT NERVOUS BREAKDOWN IS, ASSERTED 658 brkdimp1 1ST MENTION, WHAT NERVOUS BREAKDOWN IS, IMPUTED 658 brkdimp2 2ND MENTION, WHAT NERVOUS BREAKDOWN IS, IMPUTED 658 brkdimp3 3RD MENTION, WHAT NERVOUS BREAKDOWN IS, IMPUTED 659 brkdsym1 1ST MENTION, WHAT NERVOUS BREAKDOWN IS, SYMPTOMS 659 brkdsym2 2ND MENTION, WHAT NERVOUS BREAKDOWN IS, SYMPTOMS 659 brkdsym3 3RD MENTION, WHAT NERVOUS BREAKDOWN IS, SYMPTOMS 660 brkdoth WHAT NERVOUS BREAKDOWN IS, OTHER CODES 660 knwmhosp KNOW ANYONE WHO WAS IN A HOSPITAL 660 relmhsp1 PATIENT WAS SELF 661 relmhsp2 PATIENT WAS IMMEDIATE FAMILY 661 relmhsp3 PATIENT WAS OTHER RELATIVES 662 relmhsp4 PATIENT WAS CLOSE FRIEND 662 relmhsp5 PATIENT WAS ACQUAINTANCE 663 relmhsp6 PATIENT WAS OTHER 663 knwpatnt KNOWN ANYONE SEEING A PSYCHOLOGIST ETC? 664 evbrkdwn EVER FELT GOING TO HAVE A NERVOUS BREAKDOWN? 664 brkdwhy1 1ST MENTION CAUSE OF NER. BREAK FEELINGS 665 brkdwhy2 2ND MENTION CAUSE OF NER. BREAK FEELINGS 665 brkdwhy3 3RD MENTION CAUSE OF NER. BREAK FEELINGS 666 brkddo1 1ST MENTION WHAT R DID WHEN FELT NER. BREAK 666 brkddo2 2ND MENTION WHAT R DID WHEN FELT NER. BREAK 667 brkddo3 3RD MENTION WHAT R DID WHEN FELT NER. BREAK 667 brkdhlp1 1ST MENTION WHAT HELP R SOUGHT 667 brkdhlp2 2ND MENTION WHAT HELP R SOUGHT 668 brkdhlp3 3RD MENTION WHAT HELP R SOUGHT 668 brkdtime WHEN FEELINGS OF NERVOUS BREAKDOWN HAPPENED 668 brkddur DURATION,SEVERITY OF NERVOUS BREAKDOWN FEELINGS 669 evmhp EVER HAD MENTAL HEALTH PROBLEM 669 mnilwhy1 1ST MENTION CAUSE OF MENTAL ILLNESS FEELINGS 669 mnilwhy2 2ND MENTION CAUSE OF MENTAL ILLNESS FEELINGS 670 mnilwhy3 3RD MENTION CAUSE OF MENTAL ILLNESS FEELINGS 670 mnildo1 1ST MENTION WHAT R DID WHEN FELT MENTAL ILLNESS 671 mnildo2 2ND MENTION WHAT R DID WHEN FELT MENTAL ILLNESS 671 mnildo3 3RD MENTION WHAT R DID WHEN FELT MENTAL ILLNESS 672 mnilhlp1 1ST MENTION WHAT HELP R SOUGHT 672 mnilhlp2 2ND MENTION WHAT HELP R SOUGHT 672 mnilhlp3 3RD MENTION WHAT HELP R SOUGHT 673 mniltime WHEN FEELINGS OF MENTAL ILLNESS HAPPENED 673 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxxii item page mnildur DURATION,SEVERITY OF FEELINGS OF MENTAL ILLNESS 673 privpray HOW OFTEN PRAY PRIVATELY 674 meditate HOW OFTEN MEDITATE 674 conghlp1 HOW MUCH CONGREGATION HELP OUT WITH ILL 675 conghlp2 HOW MUCH CONGREGATION HELP OUT WITH PROB 675 conghrm1 HOW OFTEN CONGREGATION MAKE TOO MUCH DEMAND 676 conghrm2 HOW OFTEN CONGREGATION CRITICAL OF THINGS R DO 676 cope1 THINK ABOUT LIFE IS PART OF LARGER FORCE 677 cope2 WORK TOGETJER WITH GOD AS PARTNERS 677 cope3 LOOK TO GOD FOR STRENGTH & SUPORT 678 cope4 FEEL GOD IS PUNISHING FOR SIN 678 cope5 WONDER WHETEHR GOD HAS ABONDENED ME 679 cope6 TRY TO MAKE SENSE WITHOUT RELYING ON GOD 679 godwatch BELIEVE IN GOD WHO WATCH OVER ME 680 lesspain FEEL DEEP SENS OF RESP FOR REDUCING PAIN 680 rellife TRY TO CARRY BELIEFS INTO OTHER DEALINGS 681 forgive1 HAVE FORGIVEN SELF FOR MISTAKES 681 forgive2 HAVE FORGIVEN THOSE WHO HURT ME 682 forgive3 KNOW THAT GOD FORGIVES ME 682 feelgod FEEL GODS PRESENCE 683 relcmfrt FIND STRENGTH AND COMFORT IN RELIGION 683 harmony FEEL DEEP INNER PEACE OR HARMONY 684 uniongod DESIRE TO BE CLOSER TO GOD 684 godlove FEEL GODS LOVE DIRECTLY OR THRU OTHERS 685 beausprt SPIRITUALLY TOUCHED BY BEAUTY CREATION 685 nocheer IN PAST 30 DAYS FEEL SAD 686 nervous IN PAST 30 DAYS FEEL NERVOUS 686 fidgety IN PAST 30 DAYS FEEL RESTLESS OR FIDGETY 687 hopeless IN PAST 30 DAYS FEEL HOPLESS 687 effort IN PAST 30 DAYS FEEL EVERTHING THING EFFORT 688 wrthless IN PAST 30 DAYS FEEL WORTHLESS 688 relpersn R CONSIDER SELF A RELIGIOUS PERSON 689 sprtprsn R CONSIDER SELF A SPIRITUAL PERSON 689 relexp HAVE RELIGIOUS EXPERIENCE CHANGED LIFE 690 pubdef SHOULD MEDIA PUBLISH DEFENSE PLANS 690 pubecon SHOULD MEDIA PUBLISH ECONOMIC PLANS? 691 obeylaw SHOULD PEOPLE OBEY LAWS WITHOUT EXCEPTN? 691 protest1 ALLOW PUBLIC MEETINGS PROTESTING GOVT. 692 protest2 ALLOW PUBLICATIONS PROTESTING GOVT. 692 protest3 ALLOW DEMONSTRATIONS PROTESTING GOVT. 693 protest4 ALLOW OCCUPATION OF GOVT OFFICE. 693 protest5 ALLOW DAMAGE OF GOVT BUILDINGS. 694 protest6 ALLOW NATIONAL ANTI-GOVT STRIKE. 694 revspeak ALLOW REVOLUTIONARY PUBLIC MEETINGS. 695 revtch15 ALLOW REVOLUTIONARIES TO TEACH CHILDREN. 695 revpub ALLOW REVOLUTIONARIES TO PUBLISH BOOKS. 696 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxxiii item page racspeak ALLOW RACISTS TO HOLD PUBLIC MEETINGS. 696 ractch15 ALLOW RACISTS TO TEACH 15 YR. OLDS. 697 racpub ALLOW RACISTS TO PUBLISH BOOKS. 697 crimtail SHOULD POLICE TAIL A KNOWN CRIMINAL? 698 crimtap SHOULD POLICE TAP PHONE OF A CRIMINAL? 698 crimread SHOULD POLICE OPEN MAIL OF A CRIMINAL? 699 crimhold SHOULD POLICE DETAIN A KNOWN CRIMINAL? 699 mantail SHOULD POLICE TAIL A SUSPECT? 700 mantap SHOULD POLICE TAP PHONE OF A SUSPECT? 700 manread SHOULD POLICE OPEN MAIL OF A SUSPECT? 701 manhold SHOULD POLICE DETAIN A SUSPECT? 701 verdict WORSE TYPE OF JUDICIAL MISTAKE. 702 databank COMPUTER DATA THREAT TO INDIVIDL PRIVACY 702 progtax HOW MUCH INCOME TAX SHOULD RICH PAY? 703 eqincome GOVT SHOULD REDISTRIBUTE WEALTH. 703 oprich CHILD OF RICH HAS BETTER OPPORTUNITY. 704 opprof CHILD OF PROFSSNL HAS BETTER OPPORTUNITY 704 opfamily FAMILY BKGD DETERMINES SUCCESS IN U.S. 705 fecolop COLLEGE OPPORTUNITIES FOR WOMEN. 705 fejobop JOB OPPORTUNITIES FOR WOMEN. 706 feinc INCOME FOR WOMEN VS. MEN WITH SAME BKGD. 706 fehlpbus GOVT SHOULD AID WOMEN SEEKING JOBS. 707 fehlpcol GOVT SHOULD AID WOMEN SEEKING HIGHER ED. 707 fehlpjob WOMEN SHOULD BE GIVEN PREFERENCE IN JOBS 708 hsbasics SCHOOL SUBJECTS: READING, WRITING, MATH. 708 hssexed SCHOOL SUBJECTS: SEX EDUCATION. 709 hsrespct SCHOOL SUBJECTS: RESPECT FOR AUTHORITY. 709 hslibart SCHOOL SUBJECTS: HISTORY, LITER., ARTS 710 hsjudge SCHOOL SUBJECTS: GOOD JUDGEMENT. 710 hsjobtr SCHOOL SUBJECTS: JOB TRAINING. 711 hssci SCHOOL SUBJECTS: SCIENCE AND TECHNOLOGY. 711 hscaring SCHOOL SUBJECTS: CONCERN FOR OTHERS. 712 hsorder SCHOOL SUBJECTS: DISCIPLINE AND ORDER. 712 colop SHOULD CHANCES FOR COLLEGE BE CHANGED? 713 aidneedy GOVT MONEY FOR LOW INCOME STUDENTS. 713 aidsmart GOVT MONEY FOR HIGH ACHIEVING STUDENTS. 714 aidavg GOV $ FOR STDNTS WITH AVG INC AND GRADES 714 kiddrugs GOVT INTERVENE: CHILD USES DRUGS. 715 kidskips GOVT INTERVENE: CHILD SKIPS SCHOOL. 715 kidout GOVT INTERVENE: CHILD STAYS OUT LATE. 716 kidneedy GOVT INTERVENE: CHILD IS NEGLECTED. 716 kidbeat GOVT INTERVENE: CHILD IS ABUSED. 717 kidhlth GOVT INTERVENE: CHILD NOT GIVN MED TRTMT 717 kidedpar GOVT INTERVENE: CHILD NOT SENT TO SCHOOL 718 kidxfilm GOVT INTERVENE: CHLD ALLOWED TO SEE PORN 718 beltup GOVT SHOULD REQUIRE USE OF SEAT BELTS. 719 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxxiv item page nosmoke GOV SHOULD PROHIBIT SMOKING IN PUB AREAS 719 mustret GOVT SHOULD ENFORCE MANDATORY RETIREMENT 720 poleff1 PUBLIC HAS LITTLE CONTROL OVER POLITICNS 720 poleff2 NOT WORTH TALKING TO POLITICIANS. 721 poleff3 AVG PERSON CAN INFLUENCE POLITICIANS. 721 poleff4 AVG PERSON CAN INFLUENCE LOCAL GOVT. 722 poleff5 PEOPLE LIKE ME HAVE MUCH TO SAY RE GOVT. 722 poleff6 AVG PERSON CAN INFLUENCE GOVT DECISIONS. 722 poleff7 GOVT IS GENERALLY RESPONSIVE TO PUBLIC. 723 poleff8 I AM USUALLY INTERESTED IN LOCAL ELECTNS 723 poleff9 PEOPLE CAN CONTROL WORLD AFFAIRS. 723 poleff10 THE WORLD IS GETTING BETTER. 724 setwage GOVT CONTROL OF WAGES. 724 setprice GOVT CONTROL OF PRICES. 725 cutgovt CUTS IN GOVT SPENDING. 725 makejobs GOVT CREATE NEW JOBS. 726 lessreg LESS GOVT REGULATION OF BUSINESS. 726 hlphitec GOVT SUPPORT FOR NEW PRODUCTS AND TECH. 727 savejobs GOVT SUPPORT FOR DECLINING INDUSTRIES. 727 cuthours REDUCTION IN LENGTH OF WORK WEEK. 728 spenviro GOVT SPENDING ON ENVIRONMENT. 728 sphlth GOVT SPENDING ON HEALTH. 729 sppolice GOVT SPENDING ON LAW ENFORCEMENT. 729 spschool GOVT SPENDING ON EDUCATION. 730 sparms GOVT SPENDING ON DEFENSE. 730 spretire GOVT SPENDING ON RETIREMENT BENEFITS. 731 spunemp GOVT SPENDING ON UNEMPLOYMENT BENEFITS. 731 sparts GOVT SPENDING ON CULTURE AND THE ARTS. 732 inctax AMOUNT OF TAX ON RS HOUSEHOLD INCOME. 732 bustax AMOUNT OF TAX ON BUSINESS AND INDUSTRY. 733 infljobs TOP PRIORITY OF GOVT: INFLATION OR JOBS? 733 laborpow POWER OF LABOR UNIONS IN RS COUNTRY. 734 buspow POWER OF BUSINESS AND INDUSTRY. 734 govtpow POWER OF FEDERAL GOVT. 735 ownpower GOVTS ROLE IN ELECTRIC POWER. 735 ownmass GOVTS ROLE IN LOCAL MASS TRANSPORTATION 736 ownsteel GOVTS ROLE IN THE STEEL INDUSTRY. 736 ownbanks GOVTS ROLE IN BANKING AND INSURANCE. 737 ownautos GOVTS ROLE IN AUTOMOBILE INDUSTRY. 737 jobsall GOVTS RESP: PROVIDE JOBS FOR ALL. 738 pricecon GOVTS RESP: KEEP PRICES UNDER CONTROL. 738 hlthcare GOVTS RESP: PROVIDE HLTH CARE FOR SICK 739 aidold GOVTS RESP: PROVIDE FOR THE ELDERLY. 739 aidindus GOVTS RESP: ASSIST INDUSTRIAL GROWTH. 740 aidunemp GOVTS RESP: PROVIDE FOR THE UNEMPLOYED. 740 equalize GOVTS RESP: REDUCE INCOME DIFFERENCES. 741 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxxv item page aidcol GOV. SHOULD ASSIST LOW-INCOME COLLEGE STUDENT 741 aidhouse GOV. SHOULD PROVIDE HOUSING TO POOR 742 protstrs FEEL ABOUT PEOPLE PROTEST GOV. 742 revoltrs FEEL ABOUT PEOPLE WANT TO OVERTHROW GOV. 743 racists FEEL ABOUT PEOPLE WHO ARE RACIST. 743 unionsok HOW GOOD UNION FOR THE COUNTRY. 744 polint YOUR INTEREST IN POLITICS. 744 rprtst1 WOULD YOU ATTEND A PUBLIC MEETING 745 rprtst3 WOULD YOU GO ON A PROTEST MARCH-DEMONSTRATION 745 rprtst15 HOW MANY TIMES BE A PUBLIC MEETING PAST 5 YRS 746 rprtst35 HOW MANY TIMES GONE ON A PROTEST MARCH PAST 5 YR 746 grnlaws GOV RESP TO TO MAKE INDUSTRY LESS DAMAGING 747 poleff11 DON'T HAVE ANY SAY ABOUT WHAT THE GOVERNMENT DOE 747 poleff12 EVEN BEST POLITICIAN CANNOT HAVE MUCH IMPACT 748 poleff13 HAVE A PRETTY GOOD UNDERSTANDING OF ISSUES 748 poleff14 ELECTIONS A GOOD WAY OF MAKING GOV PAY ATTENTION 749 poleff15 MOST PEOPLE BETTER INFORMED ABOUT POLITICS THAN 749 poleff16 PEOPLE ELECTED TO CONGRESS TRY TO KEEP PROMISES 750 poleff17 MOST GOVERNMENT ADMINISTRATORS CAN BE TRUSTED 750 demworks HOW WELL THE SYSTEM OF DEMOCRACY IN AMERICA WORK 751 taxspend CHOICE BETWEEN REDUCING TAXES OR SPENDING MORE 751 runpower ELECTRIC POWER SHOULD MAINLY BE RUN BY PRIVATE 752 runhosp HOSPITALS SHOULD MAINLY BE RUN BY PRIVATE 752 runbanks BANKS SHOULD MAINLY BE RUN BY PRIVATE 752 cutdebt SHOULD THE GOVERNMENT CUT DEBT? 753 opwlth NEED WEALTHY FAMILY TO GET AHEAD 753 oppared NEED EDUCATED PARENTS TO GET AHEAD 754 opeduc NEED GOOD EDUCATION TO GET AHEAD 754 opambit NEED AMBITION TO GET AHEAD 755 opable NEED NATURAL ABILITY TO GET AHEAD 755 ophrdwrk NEED TO WORK HARD TO GET AHEAD 756 opknow NEED TO KNOW RIGHT PEOPLE TO GET AHEAD 756 opclout NEED POLITICAL CONNECTIONS TO GET AHEAD 757 oprace NEED TO BE RIGHT RACE TO GET AHEAD 757 oprelig NEED TO BE RIGHT RELIGION TO GET AHEAD 758 opregion MUST BE FROM RIGHT REGION TO GET AHEAD 758 opsex NEED TO BE RIGHT SEX TO GET AHEAD 759 oppol MUST HAVE CERTAIN POLVIEWS TO GET AHEAD 759 goodlife STANDARD OF LIVING OF R WILL IMPROVE 760 incentiv PAY DIFFERENCES NEEDED FOR MOTIVATION 760 inequal1 EXTRA PAY -> PEOPLE TAKE RESPONSIBILITY 761 inequal2 EXTRA PAY -> WORKERS ACQUIRE SKILLS 761 inequal3 INEQUALITY EXISTS FOR BENEFIT OF RICH 762 inequal4 EXTRA PAY -> PEOPLE EARN DEGREES 762 inequal5 PAY DIFFERENCES -> AMERICAN PROSPERITY 763 inequal6 EVERYONE BENEFITS FROM BUSINESS PROFITS 763 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxxvi item page inequal7 INEQUALITY DUE TO LACK OF SOLIDARITY 764 paymason HOW MUCH R THINKS BRICKLAYER MAKES 764 paydoc HOW MUCH R THINKS DOCTOR MAKES 765 payclerk HOW MUCH R THINKS BANK CLERK MAKES 765 payexec HOW MUCH R THINKS CORPORATE HEAD MAKES 765 payskill HOW MUCH R THINKS SKILLED WORKER MAKES 766 payfarm HOW MUCH R THINKS FARM WORKER MAKES 766 paysec HOW MUCH R THINKS SECRETARY MAKES 766 paybus HOW MUCH R THINKS BUS DRIVER MAKES 767 payunskl HOW MUCH R THINKS UNSKILLED WRKR MAKES 767 paycabnt HOW MUCH R THINKS CABINET MEMBER MAKES 767 givmason HOW MUCH OUGHT MASON MAKE? 768 givdoc HOW MUCH OUGHT DOCTOR MAKE? 768 givclerk HOW MUCH OUGHT BANK CLERK MAKE? 769 givowner HOW MUCH OUGHT OWNER-MANAGER MAKE 769 givexec HOW MUCH OUGHT CORPORATE HEAD MAKE? 770 givskill HOW MUCH OUGHT SKILLED WORKER MAKE? 770 givfarm HOW MUCH OUGHT FARM WORKER MAKE? 771 givsec HOW MUCH OUGHT SECRETARY MAKE? 771 givbus HOW MUCH OUGHT BUS DRIVER MAKE? 772 givunskl HOW MUCH OUGHT UNSKILLED WORKER MAKE? 772 givcabnt HOW MUCH OUGHT CABINET MEMBER MAKE? 773 incgap INCOME DIFFERENTIALS IN USA TOO BIG 773 goveqinc GOVMNT SHOULD REDUCE INC DIFFERENTIALS 774 govedop GOVMNT SHOULD HELP POOR ATTEND COLLEGE 774 govjobs GOVMNT SHOULD PROVIDE JOBS 775 govless GOVMNT SHOULD SPEND LESS ON POOR 775 govunemp GOVMNT SHOULD PROVIDE UNEMP BENEFITS 776 govminc GOVMNT SHOULD PROVIDE MINIMUM INCOME 776 taxrich TAXES ON HIGH INCOME PEOPLE TOO HIGH 777 taxmid TAXES ON MIDDLE INCOME PEOPLE TOO HIGH 777 taxpoor TAXES ON LOW INCOME PEOPLE TOO HIGH 778 taxshare SHOULD RICH PAY BIGGER SHARE OF TAXES? 778 conwlth CONFLICT BETWEEN POOR AND RICH IN USA? 779 conclass WORKING AND MIDDLE CLASSES IN CONFLICT? 779 conjobs EMPLOYED AND UNEMPLOYED IN CONFLICT 780 conunion WORKERS AND MANAGEMENT IN CONFLICT? 780 conurban FARMERS AND CITY PEOPLE IN CONFLICT? 781 occmobil STATUS OF JOB HIGHER THAN FATHERS? 781 pajob TYPE OF JOB HELD BY FATHER WHEN R 16 782 paslf WAS FATHER SELF-EMPLOYED? 782 firstjob TYPE OF FIRST JOB HELD BY R 783 firstslf FIRST JOB SELF-EMPLOYMENT? 783 lastjob TYPE OF CURRENT JOB HELD BY R 784 lastslf CURRENT JOB SELF-EMPLOYMENT? 784 mawrkwrm WORKING MOM CAN HAVE A WARM REL W KIDS 785 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxxvii item page kidsuffr PRESCHOOLER WILL SUFFER IF MOM WORKS 785 famsuffr FAMILY LIFE SUFFERS IF MOM WORKS F-T 786 hapifwrk WOMAN AND FAMILY HAPPIER IF SHE WORKS 786 homekid MOST WOMEN REALLY WANT A HOME AND KIDS 787 housewrk BEING HOUSEWIFE AS FULFILLING AS PAID WORK 787 fejobind JOB IS BEST WAY FOR WOMAN TO BE INDEP 788 twoincs HUSB & WIFE SHOULD CONTRIB TO FAMILY INCOME 788 hubbywrk HUSB SHLD WORK WIFE SHLD LOOK AFTER HOME 789 ilikejob R WOULD ENJOY JOB IF MONEY WASNT NEEDED 789 wrknokid SHLD MOM WORK AFTR MARRIAGE, BEFORE KIDS? 790 wrkbaby SHLD WOMAN WITH PRESCHOOLER WORK? 790 wrksch SHLD WOMAN WORK AFTER YOUNGEST IN SCHOOL? 791 wrkgrown SHLD WOMAN WORK AFTER KIDS LEAVE HOME? 791 daycare1 PUBLIC DAYCARE CENTER OK FOR KID < 3 YRS? 792 daycare2 PRIVATE DAYCARE CENTER OK FOR KID < 3 YRS? 792 daycare3 BABYSITTER OK FOR KID < 3 YRS? 793 daycare4 FRIEND OR NEIGHBOR OK FOR KID < 3 YRS? 793 daycare5 RELATIVE OK FOR KID < 3YRS? 794 femarry WAY OF LIFE RECOMMENDATION FOR WOMAN 794 memarry WAY OF LIFE RECOMMENDATION FOR MAN 795 marhappy MARRIED PEOPLE HAPPIER THAN UNMARRIED 795 marfree PERSONAL FREEDOM MORE IMPT THAN MARRIAGE 796 marfin FINANCIAL SECURITY MAIN ADVTG OF MARRIAGE 796 markids MAIN PURPOSE OF MARRIAGE = KIDS 797 marnomar BAD MARRIAGE BETTER THAN NONE AT ALL 797 marlegit THOSE WANTING KIDS SHOULD GET MARRIED 798 marmakid SINGLE MA CAN RAISE KIDS WELL AS COUPLE 798 marpakid SINGLE PA CAN RAISE KIDS WELL AS COUPLE 799 mardiv MARRIAGE NOT TAKEN SERIOUSLY WHEN DIV IS EZ 799 marhomo HOMOSEXUALS SHOULD HAVE RIGHT TO MARRY 800 numkids WHAT IS IDEAL NUMBER OF KIDS FOR FAMILY 800 nokids DESIRABILITY OF NO-KID FAMILY 801 onekid DESIRABILITY OF ONE-KID FAMILY 801 twokids DESIRABILITY OF TWO-KID FAMILY 802 threkids DESIRABILITY OF THREE-KID FAMILY 802 fourkids DESIRABILITY OF 4+ KID FAMILY 803 kidtrble KIDS MORE TROUBLE THAN THEY'RE WORTH 803 kidjoy KIDS ARE LIFE'S GREATEST JOY 804 kidnofre KIDS INTERFERE WITH PARENTS' FREEDOM 804 kidless KIDLESS MARRIAGE IS INCOMPLETE 805 kidfin BETTER NOT TO HAVE KIDS DUE TO $ BURDEN 805 kidempty KIDLESS PEOPLE LEAD EMPTY LIVES 806 divnow HOW EASY IS IT TO GET A DIVORCE TODAY 806 divnokid HOW EZ SHOULD DIVORCE BE FOR KIDLESS 807 divifkid HOW EZ SHOULD DIVORCE BE IF KID(S) 807 divkids KIDS BETTER IF BAD MARRGE ENDED BY DIV 808 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxxviii item page divwife WIFE BETTER IF BAD MARRGE ENDED BY DIV 808 divhubby HUSB BETTER IF BAD MARRGE ENDED BY DIV 809 mawork14 DID MOM WORK BEFORE R WAS 14 YRS OLD 809 evdiv HAS R EVER BEEN DIVORCED 810 spevdiv HAS RS CURRENT SPOUSE BEEN DIVORCED 810 cohabit DID R LIVE WITH SPOUSE BEFORE MARRIAGE 810 rwrknokd DID R WORK AFTR MARRGE BUT BEFORE KIDS 811 rwrkbaby DID R WORK WHEN KID WAS PRESCHOOLER 811 rwrksch DID R WORK AFTER YOUNGEST IN SCHOOL 812 rwrkgrwn DID R WORK AFTER KIDS LEFT HOME 812 earnsmor HUBBY OR WIFE EARNS MORE $ 813 fewrksup DO MOST WOMEN WORK TO SUPPORT FAMILY 813 hubbywk1 MEN SHOULD EARN MONEY WOMEN KEEP HOUSE 814 mrmom GENDER ROLE REVERSAL HURTS FAMILY 814 meovrwrk MEN HURT FAMILY WHEN FOCUS ON WORK TOO MUCH 815 singlpar SINGLE PARENTS CAN RAISE KIDS AS WELL AS TWO 815 cohabok LIVING TOGETHER AS AN ACCEPTABLE OPTION 816 cohabfst PEOPLE SHOULD LIVE TOGETHER BEFORE MARRIAGE 816 divbest DIVORCE AS BEST SOLUTION TO MARITAL PROBLEMS 817 divifkd1 SHOULD FEUDING PARENTS STAY TOGETHER FOR KIDS 817 divnokd1 CHILDLESS COUPLES STAY MARRIED EVEN WITH PROBLEM 818 livnowed DID R LIVE WITH PARTNER BEFORE MARRIAGE 818 mapaid SHOULD WORKING WOMEN HAVE PAID MATERNITY LEAVE 819 chldcare SHOULD FAMILIES GET BENEFITS IF BOTH PARENTS WOR 819 abchoose SHOULD A WOMAN GET AN ABORTION FOR ANY REASON 820 teensex1 MORALITY OF TEENS HAVING SEX 820 sexhar R EXPERIENCED SEXUAL HARRASSMENT 821 fambudgt HOW COUPLES MONITOR BUDGET 821 laundry WHO IN HOUSEHOLD DOES LAUNDRY 822 repairs WHO IN HOUSEHOLD DOES SMALL REPAIRS 822 caresick WHO IN HOUSEHOLD CARES FOR SICK IN FAMILY 823 shopfood WHO IN HOUSEHOLD SHOPS FOR GROCERIES 823 dinner WHO IN HOUSEHOLD PLANS MEALS 824 spwknokd DID SPOUSE WORK AFTER MARRIAGE BEFORE KIDS 824 spwkbaby DID SPOUSE WORK WITH YOUNG CHILDREN 825 spwrksch DID SPOUSE WORK WITH SCHOOL AGE CHILDREN 825 spwkgrwn DID SPOUSE WORK AFTER CHILDREN LEFT HOME 826 hapunhap HAPPY OR UNHAPPY WITH LIFE TODAY 826 stiffpun LAWBREAKERS SHOULD GET STIFFER SENTENCES 827 deathpen MURDERERS SHOULD GET DEATH PENALTY 827 premars1 IS PREMARITAL SEX WRONG? 828 xmarsex1 IS EXTRAMARITAL SEX WRONG? 828 homosex1 IS HOMOSEXUAL SEX WRONG? 829 abdefct1 LAW SHOULD ALLOW ABORTION FOR BIRTH DEFECTS 829 abpoor1 LAW SHOULD ALLOW ABORTION IF FAMILY LOW INCOME 830 abdefctw WRONG FOR WOMAN TO GET ABORTION FOR BIRTH DEFECT 830 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xxxix item page abpoorw WRONG FOR WOMAN TO GET ABORTION IF LOW INCOME? 831 taxcheat WRONG TO CHEAT ON TAXES? 831 govcheat WRONG TO GIVE GOVT FALSE INFO FOR BENEFITS? 832 concong CONFIDENCE IN US CONGRESS 832 conbiz CONFIDENCE IN BUSINESS AND INDUSTRY 833 congovt CONFIDENCE IN GOVERNMENT DEPARTMENTS 833 conchurh CONFIDENCE IN CHURCHES AND RELIGIOUS ORGS 834 concourt CONFIDENCE IN COURTS AND LEGAL SYSTEM 834 conschls CONFIDENCE IN SCHOOLS AND EDUC SYSTEM 835 polsgod ATHIESTS SHOULDN'T HOLD PUBLIC OFFICE 835 clergvte CLERGY SHOULDN'T TRY TO INFLUENCE VOTERS 836 religpub BETTER IF MORE BELIEVERS HELD PUBLIC OFFICE 836 clerggov CLERGY SHOULDN'T TRY TO INFLUENCE GOVT DECISIONS 837 churhpow DO CHURCHES HAVE TOO MUCH POWER? 837 godchnge DESCRIBE YOUR BELIEFS ABOUT GOD 838 afterlif BELIEF IN LIFE AFTER DEATH 838 devil BELIEF IN THE DEVIL 839 heaven BELIEF IN HEAVEN 839 hell BELIEF IN HELL 840 miracles BELIEF IN RELIGIOUS MIRACLES 840 bible1 DESCRIBE YOUR FEELINGS ABOUT THE BIBLE 841 theism GOD CONCERNED WITH HUMAN BEINGS PERSONALLY 841 fatalism PEOPLE CAN'T CHANGE THE COURSE OF THEIR LIVES 842 godmeans LIFE MEANINGFUL BECAUSE GOD EXISTS 842 nihilism LIFE SERVES NO PURPOSE 843 predeter GOD DECIDES THE COURSE OF OUR LIVES 843 egomeans LIFE MEANINGFUL ONLY IF YOU PROVIDE MEANING 844 ownfate WE EACH MAKE OUR OWN FATE 844 relexper TURNING POINT IN LIFE FOR RELIGION 845 marelkid MOTHERS RELIGION WHEN R WAS CHILD 845 madenkid IF PROTESTANT, MOTHER'S DENOMINATION 845 parelkid FATHER'S RELIGION WHEN R WAS CHILD 846 padenkid IF PROTESTANT, FATHER'S DENOMINATION 846 religkid RELIGION R WAS RAISED IN 847 denkid IF PROTESTANT, DENOMINATION R RAISED IN 847 religsp S SPOUSE 848 densp S SPOUSE 848 attendma S MOM 849 attendpa S DAD 849 attend12 FREQ OF R'S RELIG SVC ATTENDANCE AT AGE 12 850 prayfreq HOW OFTEN DOES R PRAY 851 relactiv HOW OFTEN DOES R TAKE PART IN RELIG ACTIVITIES 852 feelrel HOW RELIGIOUS IS R 852 schlpray SHOULD THERE BE DAILY PRAYER IN PUBLIC SCHOOLS? 853 godright GOD'S LAWS SHOULD DECIDE RIGHT AND WRONG 853 socright SOCIETY'S LAWS SHOULD DECIDE RIGHT AND WRONG 854 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xl item page perright CONSCIENCE SHOULD DECIDE RIGHT AND WRONG 854 antirel ANTI-RELIGIOUS MATERIAL SHOULD BE BANNED 855 befair HOW OFTEN DO YOU THINK PEOPLE TAKE ADVANTAGE 855 cantrust POEPLE CAN BE TRUSTED OR CANT BE TOO CAREFUL 856 trustsci WE TRUST TOO MUCH IN SCIENCE 856 religcon RELIGINS BRING MORE CONFLICT 857 religint RELIGIOUS PEOPLE ARE OFTEN TOO INTOLERANT 857 religinf US WOULD BE BETER IF LESS RELIGIOUS 858 volwkpol VOLUNTEED POLITICAL ACTIVITIES PAST 12 MONTH 858 volwkchr VOLUNTEED CHARITABLE PAST 12 MONTH 859 volwkrel VOLUNTEED RELIGIOUS PAST 12 MONTH 859 volwkoth VOLUNTEED OTHER KINDS PAST 12 MONTH 860 reltruth HOW MUCH TRUTH IN RELIGION 860 carright WHAT YOUR FRIEND HAS A RIGHT TO EXPECT FROM YOU 861 cardo WHAHT WOULD YOU DO IN THIS SITUATION 861 takearms PUNISHMENT FOR STEALING AND SELLING WEAPONS 862 leakinfo PUNISHMENT FOR OFFICAL LEAKING INFORMATION 862 spyenemy PUNISHMENT FOR SELLING SECRETS TO HOSTILE FOREIG 863 spyfrend PUNISHMENT FOR SELLING SECRETS TO FRIEND FOREIGN 863 taketrck PUNISHMENT FOR STEALING AND SELLING TRUCK PARTS 864 lietest PEOPLE WITH SECRET SHOULD BE SUBJECT TO LIE TEST 864 testdrug 865 bugging PEOPLE WITH SECRET SHOULD BE SUBJECT TO WIRETAPP 865 finanqs PEOPLE WITH SECRET SHOULD BE SUBJECT TO QUES. OF 866 chkonjob PEOPLE WITH SECRET SHOULD BE SUBJECT TO MONITORI 866 chkother PEOPLE WITH SECRET SHOULD BE SUBJECT TO MONITORI 867 obeythnk SHOULD CHLDRN BE OBEDIENT OR THINK FOR SELVES 867 privent PRIVATE ENTERPRISE WILL SOLVE U.S. PROBLEMS 868 postmat1 HIGHEST PRIORITY FOR AMERICA 868 postmat2 2ND HIGHEST PRIORITY FOR AMERICA 869 scifaith BELIEVE TOO MUCH IN SCIENCE, NOT ENUF FAITH 869 harmgood MODERN SCIENCE DOES MORE HARM THAN GOOD 870 sciworse HUMANS CHANGE NATURE FOR THE WORSE 870 scigrn MODERN SCIENCE WILL SOLVE ENVIR PROBS 871 grnecon WORRY TOO MUCH ABOUT ENVIR, TOO LITTLE ECON 871 harmsgrn ALMOST EVERYTHING WE DO HARMS ENVIR 872 anrights ANIMALS HAVE RIGHTS TOO 872 resnatur HUMANS SHOULD RESPECT NATURE CREATED BY GOD 873 grnprog WORRY TOO MUCH ABOUT PROGRESS HARMING ENVIR 873 naturpax NATURE WOULD BE AT PEACE IF HUMANS LEFT ALONE 874 grwthelp AMER NEEDS ECON GRWTH TO PROTECT ENVIR 874 antests OK TO TEST ON ANIMALS TO SAVE HUMANS 875 naturwar NATURE IS SURVIVAL OF FITTEST 875 grwtharm ECON GRWTH ALWAYS HARMS ENVIR 876 naturgod RELATIONSHIP OF NATURE TO GOD 876 grnprice PAY HIGHER PRICES TO HELP ENVIR? 877 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page xli item page grntaxes PAY HIGHER TAXES TO HELP ENVIR? 877 grnsol ACCEPT CUT IN LIVING STNDS TO HELP ENVIR? 878 toodifme TOO DIFF TO DO ANYTHING ABOUT ENVIR 878 ihlpgrn DO WHAT I CAN TO HELP ENVIR 879 scitest1 HUMANS MAKE ALL RADIOACTIVITY 879 scitest2 ANTIBIOTICS KILL BACTERIA NOT VIRUSES 880 scitest3 ASTROLOGY HAS SOME SCIENTIFIC TRUTH 880 scitest4 HUMANS EVOLVED FROM ANIMALS 881 scitest5 ALL MAN-MADE CHEMS CAUSE CANCER 881 grntest1 ALL WILL DIE IF EXPOSED TO RADIOACT 882 grntest2 NUKE WASTE DANGEROUS FOR THOUSANDS OF YRS 882 grntest3 GREENHOUSE EFFCT CAUSED BY HOLE IN ATMOSPH 883 grntest4 USING COAL OR GAS CONTRIB TO GREENHOUSE EFFCT 883 grntest5 ALL PESTICIDES CAUSE CANCER 884 grntest6 HUMANS ARE MAIN CAUSE OF PLANT & ANIMAL EXTINCT 884 grntest7 CARS NOT IMP CAUSE OF AIR POLLUTION 885 carsgen CAR POLLUTION DANGER TO ENVIR 885 carsfam CAR POLLUTION DANGER TO MY FAMILY 886 carsten CAR POLLUTION WILL INCREASE IN NEXT 10 YRS 886 nukegen NUKE POWER DANGER TO ENVIR 887 nukefam NUKE POWER DANGER TO MY FAMILY 887 indusgen INDUST AIR POLLUTION DANGER TO ENVIR 888 indusfam INDUST AIR POLLUTION DANGER TO MY FAMILY 888 chemgen PESTICIDES DANGER TO ENVIR 889 chemfam PESTICIDES DANGER TO MY FAMILY 889 watergen WATER POLLUTION DANGER TO ENVIR 890 waterfam WATER POLLUTION DANGER TO MY FAMILY 890 tempgen GREENHOUSE EFFECT DANGER TO ENVIR 891 tempfam GREENHOUSE EFFECT DANGER TO MY FAMILY 891 pubdecid GOVT SHOULD LET PEOP DECIDE HOW TO PROTECT ENVIR 892 busdecid GOVT SHOULD LET BIZ DECIDE HOW TO PROTECT ENVIR 892 recycle RECYCLE CANS BOTTLES 893 chemfree BUY PESTICIDE FREE FRUITS, VEGETABLES 893 nomeat REFUSE TO EAT MEAT FOR ENVIR REASONS 894 drivless DRIVE LESS FOR ENVIR REASONS 894 grngroup MEMBER OF ENVIR GROUP 895 grnsign SIGN PETITION ON ENVIR ISSUE 895 grnmoney GIVE MONEY TO ENVIR GROUP 895 grndemo PROTESTED FOR ENVIR ISSUE 896 comtype TYPE OF COMMUNITY IN WHICH R LIVES 896 forbdcom FORBID COMMUNIST TO SPEAK 897 forbdrac FORBID RACIST TO SPEAK 897 forbdmar FORBIDS RACIAL INTERMARRIAGE 898 allowcom ALLOE COMMUNIST TO SPEAK 898 allowrac ALLOW RACIST TO SPEAK 899 allowmar ALLOW RACIAL INTERMARRIAGE 899 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 1 CASEID Case identification number Data type: numeric Record/columns: 1/1-8 ________________________________________________________________________ year GSS YEAR FOR THIS RESPONDENT Year of Questionnaire for respondent Data type: numeric Record/columns: 1/9-12 ________________________________________________________________________ id RESPONDENT ID NUMBER ID code of Respondent Data type: numeric Record/columns: 1/13-16 ________________________________________________________________________ wrkstat LABOR FRCE STATUS Last week were you working full time, part time, going to school, keeping house, or what? VALUE LABEL 0 NAP 1 WORKING FULLTIME 2 WORKING PARTTIME 3 TEMP NOT WORKING 4 UNEMPL, LAID OFF 5 RETIRED 6 SCHOOL 7 KEEPING HOUSE 8 OTHER 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/17 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 2 hrs1 NUMBER OF HOURS WORKED LAST WEEK IF WORKING, FULL OR PART TIME: How many hours did you work last week, at all jobs? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/18-19 ________________________________________________________________________ hrs2 NUMBER OF HOURS USUALLY WORK A WEEK IF WITH A JOB, BUT NOT AT WORK: How many hours a week do you usually work, at all jobs? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/20-21 ________________________________________________________________________ evwork EVER WORK AS LONG AS ONE YEAR IF RETIRED, IN SCHOOL, KEEPING HOUSE, OR OTHER: Did you ever work for as long as one year? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/22 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 3 occ RS CENSUS OCCUPATION CODE (1970) What kind of work do you (did you normally) do? That is, what (is/was) your job called? VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/23-25 ________________________________________________________________________ prestige RS OCCUPATIONAL PRESTIGE SCORE (1970) See Remarks. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/26-27 ________________________________________________________________________ wrkslf R SELF-EMP OR WORKS FOR SOMEBODY (Are/Were) you self employed or (do/did) you work for someone else? VALUE LABEL 0 NAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/28 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 4 wrkgovt GOVT OR PRIVATE EMPLOYEE (Are/Were) you employed by the federal, state, or local government or by a private employer (including non-profit organizations)? VALUE LABEL 0 NAP 1 GOVERNMENT 2 PRIVATE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/29 ________________________________________________________________________ commute TRAVEL TIME TO WORK About how much time (does/did) it usually take you to travel to work - about how many minutes? VALUE LABEL -1 NAP 97 97+ MINUTES 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/30-31 ________________________________________________________________________ industry RS INDUSTRY CODE (1970) See Remarks. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/32-34 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 5 occ80 RS CENSUS OCCUPATION CODE (1980) See Remarks. VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/35-37 ________________________________________________________________________ prestg80 RS OCCUPATIONAL PRESTIGE SCORE (1980) See Remarks. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/38-39 ________________________________________________________________________ indus80 RS INDUSTRY CODE (1980) See Remarks. VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/40-42 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 6 marital MARITAL STATUS Are you currently--married, widowed, divorced, separated, or have you never been married? VALUE LABEL 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/43 ________________________________________________________________________ agewed AGE WHEN FIRST MARRIED IF EVER MARRIED: How old were you when you first married? VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/44-45 ________________________________________________________________________ divorce EVER BEEN DIVORCED OR SEPARATED IF CURRENTLY MARRIED OR WIDOWED: Have you ever been divorced or legally separated? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/46 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 7 widowed EVER BEEN WIDOWED IF CURRENTLY MARRIED, SEPARATED, OR DIVORCED: Have you ever been widowed? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/47 ________________________________________________________________________ spwrksta SPOUSE LABOR FORCE STATUS Last week was your (wife/husband) working full time, part time, going to school, keeping house, or what? VALUE LABEL 0 NAP 1 WORKING FULLTIME 2 WORKING PARTTIME 3 TEMP NOT WORKING 4 UNEMPL, LAID OFF 5 RETIRED 6 SCHOOL 7 KEEPING HOUSE 8 OTHER 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/48 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 8 sphrs1 NUMBER OF HRS SPOUSE WORKED LAST WEEK IF WORKING, FULL OR PART TIME: How many hours did (he/she) work last week, at all jobs? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/49-50 ________________________________________________________________________ sphrs2 NO. OF HRS SPOUSE USUALLY WORKS A WEEK IF WITH A JOB, BUT NOT AT WORK: How many hours a week does (he/she) usually work, at all jobs? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/51-52 ________________________________________________________________________ spevwork SPOUSE EVER WORK AS LONG AS A YEAR IF RETIRED, IN SCHOOL, KEEPING HOUSE, OR OTHER: did (he/she) ever work for as long as one year? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/53 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 9 spocc SPOUSE CENSUS OCCUPATION CODE (1970) What kind or work (does/did) your [SPOUSE] normally do? That is, what (is/was) (his/her) job called? VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/54-56 ________________________________________________________________________ sppres SPOUSES OCCUPATIONAL PRESTIGE SCORE (1970) See Remarks. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/57-58 ________________________________________________________________________ spwrkslf SPOUSE SELF-EMP. OR WORKS FOR SOMEBODY (Is/Was) (he/she) self-employed or (does/did) (he/she) work for someone else? VALUE LABEL 0 NAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/59 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 10 spind SPOUSES INDUSTRY CODE (1970) See Remarks. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/60-62 ________________________________________________________________________ spocc80 SPOUSE CENSUS OCCUPATION CODE (1980) See Remarks. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/63-65 ________________________________________________________________________ sppres80 SPOUSES OCCUPATIONAL PRESTIGE SCORE (1980) See Remarks. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/66-67 ________________________________________________________________________ spind80 SPOUSES INDUSTRY CODE (1980) See Remarks. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/68-70 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 11 paocc16 FATHERS CENSUS OCCUPATION CODE (1970) What kind of work did your father (FATHER SUBSTITUTE) normally do while you were growing up? That is, what was his job called? VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/71-73 ________________________________________________________________________ papres16 FATHERS OCCUPATIONAL PRESTIGE SCORE (1970) See Remarks. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/74-75 ________________________________________________________________________ pawrkslf FATHER SELF-EMP. OR WORKED FOR SOMEBODY Was he self-employed or did he work for someone else? VALUE LABEL 0 NAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/76 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 12 paind16 FATHERS INDUSTRY CODE (1970) See Remarks. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/77-79 ________________________________________________________________________ paocc80 FATHERS CENSUS OCCUPATION CODE (1980) See Remarks. VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/80-82 ________________________________________________________________________ papres80 FATHERS OCCUPATIONAL PRESTIGE SCORE (1980) See Remarks. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/83-84 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 13 paind80 FATHERS INDUSTRY CODE (1980) See Remarks. VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/85-87 ________________________________________________________________________ maocc80 MOTHERS CENSUS OCCUPATION CODE (1980) MOTHER'S OCCUPATION VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/88-90 ________________________________________________________________________ mapres80 MOTHERS OCCUPATIONAL PRESTIGE SCORE (1980) PRESTIGE OF MOTHER'S OCCUPATION VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/91-92 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 14 mawrkslf MOTHER SELF-EMP. OR WORKED FOR SOMEBODY MOTHER'S EMPLOYMENT STATUS VALUE LABEL 0 NAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/93 ________________________________________________________________________ maind80 MOTHERS INDUSTRY CODE (1980) MOTHER'S INDUSTRY VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,990,999 Record/columns: 1/94-96 ________________________________________________________________________ sibs NUMBER OF BROTHERS AND SISTERS How many brothers and sisters did you have? Please count those born alive, but no longer living, as well as those alive now. Also include stepbrothers and stepsisters, and children adopted by your parents. VALUE LABEL 98 DK 99 NA Data type: numeric Missing-data codes: 98,99 Record/columns: 1/97-98 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 15 childs NUMBER OF CHILDREN How many children have you ever had? Please count all that were born alive at any time (including any you had from a previous marriage). VALUE LABEL 8 EIGHT OR MORE 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/99 ________________________________________________________________________ age AGE OF RESPONDENT What is your date of birth? VALUE LABEL 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/100-101 ________________________________________________________________________ agekdbrn R'S AGE WHEN 1ST CHILD BORN How old were you when your first child was born? VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/102-103 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 16 educ HIGHEST YEAR OF SCHOOL COMPLETED What is the highest grade in elementary school or high school that you finished and got credit for? VALUE LABEL 97 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 97,98,99 Record/columns: 1/104-105 ________________________________________________________________________ paeduc HIGHEST YEAR SCHOOL COMPLETED, FATHER What is the highest grade in elementary school or high school that your father finished and got credit for? VALUE LABEL 97 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 97,98,99 Record/columns: 1/106-107 ________________________________________________________________________ maeduc HIGHEST YEAR SCHOOL COMPLETED, MOTHER What is the highest grade in elementary school or high school that your mother finished and got credit for? VALUE LABEL 97 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 97,98,99 Record/columns: 1/108-109 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 17 speduc HIGHEST YEAR SCHOOL COMPLETED, SPOUSE What is the highest grade in elementary school or high school that your [husband/wife] finished and got credit for? VALUE LABEL 97 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 97,98,99 Record/columns: 1/110-111 ________________________________________________________________________ degree RS HIGHEST DEGREE IF FINISHED 9TH-12TH GRADE OR DK: Did you ever get a high school diploma or a GED certificate? Did you complete one or more years of college for credit--not including schooling such as business college, technical or vocational school? IF YES: How many years did you complete? Do you have any college degrees? (IF YES: What degree or degrees?) CODE HIGHEST DEGREE EARNED. VALUE LABEL 0 LT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE 7 NAP 8 DK 9 NA Data type: numeric Missing-data codes: 7,8,9 Record/column: 1/112 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 18 padeg FATHERS HIGHEST DEGREE IF FINISHED 9TH-12TH GRADE OR DK: Did your father ever get a high school diploma or a GED certificate? Did he complete one or more years of college for credit--not including schooling such as business college, technical or vocational school? IF YES: How many years did he complete? Does he have any college degrees? (IF YES: What degree or degrees?) CODE HIGHEST DEGREE EARNED. VALUE LABEL 0 LT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE 7 NAP 8 DK 9 NA Data type: numeric Missing-data codes: 7,8,9 Record/column: 1/113 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 19 madeg MOTHERS HIGHEST DEGREE IF FINISHED 9TH-12TH GRADE OR DK: Did your mother ever get a high school diploma or a GED certificate? Did she complete one or more years of college for credit-- not including schooling such as business college, technical or vocational school? IF YES: How many years did she complete? Does she have any college degrees? (IF YES: What degree or degrees?) CODE HIGHEST DEGREE EARNED. VALUE LABEL 0 LT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE 7 NAP 8 DK 9 NA Data type: numeric Missing-data codes: 7,8,9 Record/column: 1/114 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 20 spdeg SPOUSES HIGHEST DEGREE IF FINISHED 9TH-12TH GRADE OR DK: Did your [husband/wife] ever get a high school diploma or a GED certificate? Did he/she complete one or more years of college for credit--not including schooling such as business college, technical or vocational school? IF YES: How many years did he/she complete? Does he/she have any college degrees? (IF YES: What degree or degrees?) CODE HIGHEST DEGREE EARNED. VALUE LABEL 0 LT HIGH SCHOOL 1 HIGH SCHOOL 2 JUNIOR COLLEGE 3 BACHELOR 4 GRADUATE 7 NAP 8 DK 9 NA Data type: numeric Missing-data codes: 7,8,9 Record/column: 1/115 ________________________________________________________________________ sex RESPONDENTS SEX respondent's sex VALUE LABEL 1 MALE 2 FEMALE Data type: numeric Record/column: 1/116 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 21 race RACE OF RESPONDENT CODE WITHOUT ASKING ONLY IF THERE IS NO DOUBT IN YOUR MIND. What race do you consider yourself? RECORD VERBATIM AND CODE. VALUE LABEL 1 WHITE 2 BLACK 3 OTHER Data type: numeric Record/column: 1/117 ________________________________________________________________________ res16 TYPE OF PLACE LIVED IN WHEN 16 YRS OLD Which of the categories on this card comes closest to the type of place you were living in when you were 16 years old? VALUE LABEL 1 COUNTRY,NONFARM 2 FARM 3 TOWN LT 50000 4 50000 TO 250000 5 BIG-CITY SUBURB 6 CITY GT 250000 8 DK 9 NA Data type: numeric Missing-data codes: 8,9 Record/column: 1/118 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 22 reg16 REGION OF RESIDENCE, AGE 16 In what state of foreign country were you living when you were 16 years old? VALUE LABEL 0 FOREIGN 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC Data type: numeric Record/column: 1/119 ________________________________________________________________________ mobile16 GEOGRAPHIC MOBILITY SINCE AGE 16 When you were 16 years old, were you living in this same (city/twon/country)? VALUE LABEL 1 SAME CITY 2 SAME ST,DIF CITY 3 DIFFERENT STATE 8 DK 9 NA Data type: numeric Missing-data codes: 8,9 Record/column: 1/120 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 23 family16 LIVING WITH PARENTS WHEN 16 YRS OLD Were you living with both your own mother and father around the time you were 16? (IF NO: With whom were you living around that time?) (IF R. MARRIED OR LEFT HOME BY AGE 16, PROBE "BEFORE THAT.") VALUE LABEL 0 OTHER 1 MOTHER & FATHER 2 FATHER & STPMOTHER 3 MOTHER & STPFATHER 4 FATHER 5 MOTHER 6 MALE RELATIVE 7 FEMALE RELATIVE 8 M AND F RELATIVES 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/121 ________________________________________________________________________ famdif16 REASON NOT LIVING WITH PARENTS IF NOT LIVING WITH BOTH OWN MOTHER AND FATHER: What happened? VALUE LABEL 0 NAP 1 PARENT DIED 2 DIVORCE,SEPARATED 3 ARMED FORCES 4 INSTITUTION 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/122 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 24 mawork MOTHERS EMPLOYMENT SINCE MARRIAGE Did your mother ever work for pay for as long as a year, after she was married? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/123 ________________________________________________________________________ mawkbaby MOTHERS EMPLOYMENT BEFORE FIRST GRADE IF YES: Did she work for as long as a year before you started first grade? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/124 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 25 mawkborn MOTHERS EMPLOYMENT AFTER R WAS BORN IF YES: Did she work as long as a year after you were born and before you started first grade? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/125 ________________________________________________________________________ mawk16 MOTHERS EMPLOYMENT WHEN R WAS 16 Did she work for as long as a year around the time you were 16? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/126 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 26 mawrkgrw MOTHERS EMPLOYMENT WHEN R GROWING UP Did your mother ever work for pay for as long as a year, while you were growing up? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/127 ________________________________________________________________________ incom16 RS FAMILY INCOME WHEN 16 YRS OLD Thinking about the time when you were 16 years old, compared with American families in general then, would you say your family income was--far below average, below average, average, above average, or far above average? (PROBE: Just your best guess). VALUE LABEL -1 NAP 1 FAR BELOW AVERAGE 2 BELOW AVERAGE 3 AVERAGE 4 ABOVE AVERAGE 5 FAR ABOVE AVERAGE 7 LIVED IN INSTITUTION 8 DK 9 NA Data type: numeric Missing-data codes: -1,7-* Record/column: 1/128 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 27 born WAS R BORN IN THIS COUNTRY Were you born in this country? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/129 ________________________________________________________________________ parborn WERE RS PARENTS BORN IN THIS COUNTRY Were both your parents born in this country? (IF THE RESPONDENT IS UNCERTAIN OF PARENT, USE SAME PERSONS AS IN Q.S 8, 16, 17, 20, AND 21.) VALUE LABEL -1 NAP 0 BOTH IN U.S. 1 MOTHER ONLY 2 FATHER ONLY 3 MOTHER; FA. DK 4 NOT MOTHER;FA.DK 5 FATHER; MO.DK 6 NOT FATHER;MO.DK 7 DK FOR BOTH 8 NEITHER IN U.S. 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/130 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 28 granborn HOW MANY GRANDPARENTS BORN OUTSIDE U.S. Were all of your four grandparents born in this country? How many were born outside the United States? VALUE LABEL -1 NAP 0 ALL IN U.S. 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/131 ________________________________________________________________________ hompop NUMBER OF PERSONS IN HOUSEHOLD Household Size and Composition (see Appendix D: Recodes, for information about these variables). VALUE LABEL 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/132-133 ________________________________________________________________________ babies HOUSEHOLD MEMBERS LESS THAN 6 YRS OLD NUMBER OF MEMBERS UNDER 6. UNDER 6 YEARS: VALUE LABEL 8 8 OR MORE 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/134 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 29 preteen HOUSEHOLD MEMBERS 6 THRU 12 YRS OLD NUMBER OF MEMBERS 6 TO 12 YEARS VALUE LABEL 8 8 OR MORE 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/135 ________________________________________________________________________ teens HOUSEHOLD MEMBERS 13 THRU 17 YRS OLD C. NUMBER OF MEMBERS 13 TO 17 YEARS OLD. 13-17 YEARS: VALUE LABEL 8 8 OR MORE 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/136 ________________________________________________________________________ adults HOUSEHOLD MEMBERS 18 YRS AND OLDER D. NUMBER OF MEMBERS OVER 17 YEARS OLD. 18+ YEARS VALUE LABEL 8 8 OR MORE 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/137 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 30 unrelat NUMBER IN HOUSEHOLD NOT RELATED Is everyone in the household related to you in some way? IF NO: How many persons in the household are not related to you in any way? VALUE LABEL -1 NAP 8 8 OR MORE 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/138 ________________________________________________________________________ earnrs HOW MANY IN FAMILY EARNED MONEY Just thinking about your family now--those people in the household who are related to you . . . How many persons in the family, including yourself, earned any money last year -- 1971/72/73/74/75/76/77/79/81/82/83/ 84/85/86/87/88/89/90/92 -- from any job or employment? VALUE LABEL 8 EIGHT OR MORE 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/139 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 31 income TOTAL FAMILY INCOME In which of these groups did your total family income, from all sources, fall last year before taxes, that is? Just tell me the letter. VALUE LABEL 0 NAP 1 LT $1000 2 $1000 TO 2999 3 $3000 TO 3999 4 $4000 TO 4999 5 $5000 TO 5999 6 $6000 TO 6999 7 $7000 TO 7999 8 $8000 TO 9999 9 $10000 - 14999 10 $15000 - 19999 11 $20000 - 24999 12 $25000 OR MORE 13 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/140-141 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 32 rincome RESPONDENTS INCOME Did you earn any income from (OCCUPATION DESCRIBED IN Q. 2) in [1973/74/75/76/77/79/80/82/83/84/85/86/87/ 88/89/90/92]? IF YES: In which of these groups did your earnings from (OCCUPATION IN Q. 2) for last year- -[1973-1990]--fall? That is, before taxes or other deductions. Just tell me the letter. VALUE LABEL 0 NAP 1 LT $1000 2 $1000 TO 2999 3 $3000 TO 3999 4 $4000 TO 4999 5 $5000 TO 5999 6 $6000 TO 6999 7 $7000 TO 7999 8 $8000 TO 9999 9 $10000 - 14999 10 $15000 - 19999 11 $20000 - 24999 12 $25000 OR MORE 13 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/142-143 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 33 income72 TOTAL FAMILY INCOME In which of these groups did your total family income, from all sources, fall last year--1971--before taxes, that is? VALUE LABEL 0 NAP 1 LT $2000 2 $2000 TO $3999 3 $4000 TO $5999 4 $6000 TO $7999 5 $8000 TO $9999 6 $10000 TO $12499 7 $12500 TO $14999 8 $15000 TO $17499 9 $17500 TO $19999 10 $20000 TO $24999 11 $25000 TO $29999 12 $30000+ 13 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/144-145 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 34 income77 TOTAL FAMILY INCOME Family income on 1977-1980 surveys. In which of these groups did your total family income, from all sources, fall last year before taxes, that is? Just tell me the letter. VALUE LABEL 0 NAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-49999 16 $50000 + 17 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/146-147 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 35 rincom77 RESPONDENTS INCOME Respondent's income on 1977/78/80 surveys. Did you earn any income from (OCCUPATION DESCRIBED IN Q. 2) in [1973/74/75/76/77/79/80/82/83/84/85/86/87/88/89/90/92] ? IF YES: In which of these groups did your earnings from (OCCUPATION IN Q. 2) for last year--[1973-1990]-- fall? That is, before taxes or other deductions. Just tell me the letter. VALUE LABEL 0 NAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-49999 16 $50000 + 17 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/148-149 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 36 income82 TOTAL FAMILY INCOME Family income on 1982-1985 surveys. In which of these groups did your total family income, from all sources, fall last year before taxes, that is? Just tell me the letter. VALUE LABEL 0 NAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-34999 16 $35000-49999 17 $50000 + 18 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/150-151 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 37 rincom82 RESPONDENTS INCOME Respondent's income on 1982-85 surveys. Did you earn any income from (OCCUPATION DESCRIBED IN Q. 2) in [1973/74/75/76/77/79/80/82/83/84/85/86/87/88/89/90/92] ? IF YES: In which of these groups did your earnings from (OCCUPATION IN Q. 2) for last year--[1973-1990]-- fall? That is, before taxes or other deductions. Just tell me the letter. VALUE LABEL 0 NAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-34999 16 $35000-49999 17 $50000 + 18 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/152-153 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 38 income86 TOTAL FAMILY INCOME Family income on 1986-1990 surveys. In which of these groups did your total family income, from all sources, fall last year before taxes, that is? Just tell me the letter. VALUE LABEL 0 NAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-29999 16 $30000-34999 17 $35000-39999 18 $40000-49999 19 $50000-59999 20 $60000+ 21 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/154-155 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 39 rincom86 RESPONDENTS INCOME Respondent's income on 1986-90 surveys. Did you earn any income from (OCCUPATION DESCRIBED IN Q. 2) in [1973/74/75/76/77/79/80/82/83/84/85/86/87/88/89/90/92] ? IF YES: In which of these groups did your earnings from (OCCUPATION IN Q. 2) for last year--[1973-1990]-- fall? That is, before taxes or other deductions. Just tell me the letter. VALUE LABEL 0 NAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-29999 16 $30000-34999 17 $35000-39999 18 $40000-49999 19 $50000-59999 20 $60000+ 21 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/156-157 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 40 income91 TOTAL FAMILY INCOME Family income on 1991-1993 surveys. In which of these groups did your total family income, from all sources, fall last year before taxes, that is? Just tell me the letter. VALUE LABEL 0 NAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-29999 16 $30000-34999 17 $35000-39999 18 $40000-49999 19 $50000-59999 20 $60000-74999 21 $75000+ 22 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/158-159 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 41 rincom91 RESPONDENTS INCOME Respondent's income on 1991-93 surveys. Did you earn any income from (OCCUPATION DESCRIBED IN Q. 2) in [1973/74/75/76/77/79/80/82/83/84/85/86/87/88/89/90/92] ? IF YES: In which of these groups did your earnings from (OCCUPATION IN Q. 2) for last year--[1973-1990]-- fall? That is, before taxes or other deductions. Just tell me the letter. VALUE LABEL 0 NAP 1 LT $1000 2 $1000-2999 3 $3000-3999 4 $4000-4999 5 $5000-5999 6 $6000-6999 7 $7000-7999 8 $8000-9999 9 $10000-12499 10 $12500-14999 11 $15000-17499 12 $17500-19999 13 $20000-22499 14 $22500-24999 15 $25000-29999 16 $30000-34999 17 $35000-39999 18 $40000-49999 19 $50000-59999 20 $60000-74999 21 $75000+ 22 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/160-161 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 42 income98 TOTAL FAMILY INCOME 48. Family income on the 1998 survey. For question wording, see Q.37. VALUE LABEL 0 NAP 1 UNDER $1 000 2 $1 000 TO 2 999 3 $3 000 TO 3 999 4 $4 000 TO 4 999 5 $5 000 TO 5 999 6 $6 000 TO 6 999 7 $7 000 TO 7 999 8 $8 000 TO 9 999 9 $10000 TO 12499 10 $12500 TO 14999 11 $15000 TO 17499 12 $17500 TO 19999 13 $20000 TO 22499 14 $22500 TO 24999 15 $25000 TO 29999 16 $30000 TO 34999 17 $35000 TO 39999 18 $40000 TO 49999 19 $50000 TO 59999 20 $60000 TO 74999 21 $75000 TO $89999 22 $90000 - $109999 23 $110000 OR OVER 24 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/162-163 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 43 rincom98 RESPONDENTS INCOME Respondent's income on the 1998 survey VALUE LABEL 0 NAP 1 UNDER $1 000 2 $1 000 TO 2 999 3 $3 000 TO 3 999 4 $4 000 TO 4 999 5 $5 000 TO 5 999 6 $6 000 TO 6 999 7 $7 000 TO 7 999 8 $8 000 TO 9 999 9 $10000 TO 12499 10 $12500 TO 14999 11 $15000 TO 17499 12 $17500 TO 19999 13 $20000 TO 22499 14 $22500 TO 24999 15 $25000 TO 29999 16 $30000 TO 34999 17 $35000 TO 39999 18 $40000 TO 49999 19 $50000 TO 59999 20 $60000 TO 74999 21 $75000 - $89999 22 $90000- $109999 23 $110 000 OVER 24 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/164-165 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 44 weekswrk WEEKS R. WORKED LAST YEAR Now I'd like to ask you about last year. In 1993 how many weeks did you work either full-time or part-time not counting work around the house -- include paid vacations and sick leave? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/166-167 ________________________________________________________________________ partfull WAS R'S WORK PART-TIME OR FULL-TIME? A. When you worked in 1993, was it usually full or part time? VALUE LABEL 0 NAP 1 FULL-TIME 2 PART-TIME 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/168 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 45 region REGION OF INTERVIEW See Q. 26 for a listing of states within regions, or refer to Statistical Abstract (any edition), published by U.S. Bureau of the Census, for this information. Codes based on 1990 Census not yet available. VALUE LABEL 0 NOT ASSIGNED 1 NEW ENGLAND 2 MIDDLE ATLANTIC 3 E. NOR. CENTRAL 4 W. NOR. CENTRAL 5 SOUTH ATLANTIC 6 E. SOU. CENTRAL 7 W. SOU. CENTRAL 8 MOUNTAIN 9 PACIFIC Data type: numeric Missing-data code: 0 Record/column: 1/169 ________________________________________________________________________ xnorcsiz EXPANDED N.O.R.C. SIZE CODE See Appendix S, GSS Methodological Report No. 4. Codes based on 1990 Census not yet available. VALUE LABEL 0 NOT ASSIGNED 1 CITY GT 250000 2 CITY,50-250000 3 SUBURB, LRG CITY 4 SUBURB, MED CITY 5 UNINC,LRG CITY 6 UNINC,MED CITY 7 CITY,10-49999 8 TOWN GT 2500 9 SMALLER AREAS 10 OPEN COUNTRY Data type: numeric Missing-data code: 0 Record/columns: 1/170-171 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 46 srcbelt SRC BELTCODE The SRC belt code is described in Appendix D: Recodes. See Appendix N for changes across surveys. See Appendix S, GSS Methodological Report No. 4. Codes based on 1990 Census not yet available. VALUE LABEL -1 NOT ASSIGNED Data type: numeric Missing-data code: 0 Record/column: 1/172 ________________________________________________________________________ size SIZE OF PLACE IN 1000S A 4-digit number which provides abtual size of place of interview. Remember when using this code to add 3 zeroes. VALUE LABEL -1 NOT ASSIGNED Data type: numeric Missing-data code: -1 Record/columns: 1/173-176 ________________________________________________________________________ dotdata D.O.T. CODE - RELATION TO DATA A. Occupational Relationship with Data. Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/177-180 ________________________________________________________________________ dotpeop D.O.T. CODE - RELATION TO PEOPLE B. Occupational Relationship with People. Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/181-184 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 47 dotthng D.O.T. CODE - RELATION TO THINGS C. Occupational Relationship with Things. Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/185-188 ________________________________________________________________________ dotged D.O.T. CODE - GENERAL EDUC DEVELOP. D. Occupational General Educational Development (GED). Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/189-192 ________________________________________________________________________ dotsvp D.O.T. CODE - SPECIFIC VOCAT. PREP E. Occupation Specific Vocation Preparation (SVP). Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/193-196 ________________________________________________________________________ dotpres TEMME PRESTIGE SCALE F. Occupational Prestige. Data type: numeric Decimals: 1 Missing-data code: -1.0 Record/columns: 1/197-199 ________________________________________________________________________ spdotdat SP. D.O.T. CODE - RELATION TO DATA A. Spouse's Occupational Relationship with Data. Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/200-203 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 48 spdotpeo SP. D.O.T. CODE - RELATION TO PEOPLE B. Spouse's Occupational Relationship with People. Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/204-207 ________________________________________________________________________ spdotthn SP. D.O.T. CODE - RELATION TO THINGS C. Spouse's Occupational Relationship with Things. Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/208-211 ________________________________________________________________________ spdotged SP. D.O.T. CODE - GENERAL EDUC DEVELOP. D. Spouse's Occupational General Educational Development (GED). Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/212-215 ________________________________________________________________________ spdotsvp SP. D.O.T. CODE - SPECIFIC VOCAT. PREP Spouse's Occupation Specific Vocation Preparation (SVP). Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/216-219 ________________________________________________________________________ spdotpre SP. TEMME PRESTIGE SCALE F. Spouse's Occupational Prestige. Data type: numeric Decimals: 1 Missing-data code: -1.0 Record/columns: 1/220-222 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 49 padotdat FA. D.O.T. CODE - RELATION TO DATA Father's Occupational Relationship with Data Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/223-226 ________________________________________________________________________ padotpeo FA. D.O.T. CODE - RELATION TO PEOPLE Father's Occupational Relationship with People Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/227-230 ________________________________________________________________________ padotthn FA. D.O.T. CODE - RELATION TO THINGS Father's Occupational Relationship with Things Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/231-234 ________________________________________________________________________ padotged FA. D.O.T. CODE - GENERAL EDUC DEVELOP. Father's Occupational General Educational Development (GED). Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/235-238 ________________________________________________________________________ padotsvp FA. D.O.T. CODE - SPECIFIC VOCAT. PREP Father's Occupation Specific Vocation Preparation (SVP). Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/239-242 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 50 padotpre FA. TEMME PRESTIGE SCALE Father's Occupational Prestige Data type: numeric Decimals: 1 Missing-data code: -1.0 Record/columns: 1/243-245 ________________________________________________________________________ partyid POLITICAL PARTY AFFILIATION Generally speaking, do you usually think of yourself as a Republican, Democrat, Independent, or what? VALUE LABEL 0 STRONG DEMOCRAT 1 NOT STR DEMOCRAT 2 IND,NEAR DEM 3 INDEPENDENT 4 IND,NEAR REP 5 NOT STR REPUBLICAN 6 STRONG REPUBLICAN 7 OTHER PARTY 8 DK 9 NA Data type: numeric Missing-data codes: 8,9 Record/column: 1/246 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 51 vote68 DID R VOTE IN 1968 ELECTION Now in 1968, you remember that Humphrey ran for President on the Democratic ticket against Nixon for the Republicans, and Wallace as an Indpendent. Do you remember for sure whether or not you voted in that election? VALUE LABEL 0 NAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/247 ________________________________________________________________________ pres68 VOTE FOR HUMPHREY, NIXON, OR WALLACE IF VOTED: Did you vote for Humphrey, Nixon, or Wallace? VALUE LABEL 0 NAP 1 HUMPHREY 2 NIXON 3 WALLACE 4 OTHER 5 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/248 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 52 if68who WHO WOULD R HAVE VOTED FOR-1968 ELECTION IF DID NOT VOTE: Who would you have voted for, for President, if you had voted? VALUE LABEL 0 NAP 1 HUMPHREY 2 NIXON 3 WALLACE 4 OTHER 5 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/249 ________________________________________________________________________ vote72 DID R VOTE IN 1972 ELECTION In 1972, you remember that McGovern ran for President on the Democratic ticket against Nixon for the Republicans. Do you remember for sure whether or not you voted in that election? VALUE LABEL 0 NAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/250 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 53 pres72 VOTE FOR MCGOVERN OR NIXON IF VOTED: Did you vote for McGovern or Nixon? VALUE LABEL 0 NAP 1 MCGOVERN 2 NIXON 3 OTHER 4 REFUSED 5 WOULDNT VOTE 6 WLDNT VT-RELIG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/251 ________________________________________________________________________ if72who WHO WOULD R HAVE VOTED FOR-1972 ELECTION IF DID NOT VOTE: Who would you have voted for, for President, if you had voted? VALUE LABEL 0 NAP 1 MCGOVERN 2 NIXON 3 OTHER 4 REFUSED 5 WOULDNT VOTE 6 WLDNT VT-RELIG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/252 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 54 vote76 DID R VOTE IN 1976 ELECTION If 1976, you remember that Carter ran for President on the Democratic ticket against Ford for the Republicans. Do you remember for sure whether or not you voted in that election? VALUE LABEL 0 NAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/253 ________________________________________________________________________ pres76 VOTE FOR CARTER OR FORD IF VOTED: Did you vote for Carter or Ford? VALUE LABEL 0 NAP 1 CARTER 2 FORD 3 OTHER 4 REFUSED 5 NO PRES. VOTE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/254 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 55 if76who WHO WOULD R HAVE VOTED FOR-1976 ELECTION IF DID NOT VOTE OR INELIGIBLE: Who would you have voted for, for President, if you had voted? VALUE LABEL 0 NAP 1 CARTER 2 FORD 3 OTHER 4 REFUSED 5 WOULDNT VOTE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/255 ________________________________________________________________________ vote80 DID R VOTE IN 1980 ELECTION In 1980, you remember that Carter ran for President on the Democratic ticket against Reagan for the Republicans, and Anderson as an Independent. Do you remember for sure whether or not you voted in that election? VALUE LABEL 0 NAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/256 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 56 pres80 VOTE FOR CARTER, REAGAN OR ANDERSON IF VOTED: Did you vote for Carter, Reagan, or Anderson? VALUE LABEL 0 NAP 1 CARTER 2 REAGAN 3 ANDERSON 4 OTHER 5 REFUSED 6 DIDNT VOTE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/257 ________________________________________________________________________ if80who WHO WOULD R HAVE VOTED FOR-1980 ELECTION IF DID NOT VOTE OR INELIGIBLE: Who would you have voted for, for President, if you had voted? VALUE LABEL 0 NAP 1 CARTER 2 REAGAN 3 ANDERSON 4 OTHER 5 WOULDNT VOTE 7 REFUSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/258 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 57 vote84 DID R VOTE IN 1984 ELECTION In 1984, you remember that Mondale ran for President on the Democratic ticket against Reagan for the Republicans. Do you remember for sure whether or not you voted in that election? VALUE LABEL 0 NAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/259 ________________________________________________________________________ pres84 VOTE FOR REAGAN OR MONDALE IF VOTED: Did you vote for Mondale or Reagan? VALUE LABEL 0 NAP 1 MONDALE 2 REAGAN 3 OTHER 4 REFUSED 5 NO PRES. VOTE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/260 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 58 if84who WHO WOULD R HAVE VOTED FOR-1984 ELECTION IF DID NOT VOTE OR INELIGIBLE: Who would you have voted for, for President, if you had voted? VALUE LABEL 0 NAP 1 MONDALE 2 REAGAN 3 OTHER 4 WOULDNT VOTE 5 REFUSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/261 ________________________________________________________________________ vote88 DID R VOTE IN 1988 ELECTION In 1988, you remember that Dukakis ran for President on the Democratic ticket against Bush for the Republicans. Do you remember for sure whether or not you voted in that election? VALUE LABEL 0 NAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 6 WLDNT VT-RELIG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/262 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 59 pres88 VOTE FOR DUKAKIS OR BUSH IF VOTED: Did you vote for Dukakis or Bush? VALUE LABEL 0 NAP 1 DUKAKIS 2 BUSH 3 OTHER 4 REFUSED 5 NO PRES. VOTE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/263 ________________________________________________________________________ if88who WHO WOULD R HAVE VOTED FOR-1988 ELECTION IF DID NOT VOTE OR INELIGIBLE: Who would you have voted for, for President, if you had voted? VALUE LABEL 0 NAP 1 DUKAKIS 2 BUSH 3 OTHER 4 WOULDNT VOTE 5 REFUSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/264 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 60 vote92 DID R VOTE IN 1992 ELECTION In 1992, you remember that Clinton ran for President on the Democratic ticket against Bush for the Republicans and Perot as an Independent. Do you remember for sure whether or not you voted in that election? VALUE LABEL 0 NAP 1 VOTED 2 DID NOT VOTE 3 NOT ELIGIBLE 4 REFUSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/265 ________________________________________________________________________ pres92 VOTE FOR CLINTON, BUSH, PEROT IF VOTED: Did you vote for Clinton, Bush, or Perot? VALUE LABEL 0 NAP 1 CLINTON 2 BUSH 3 PEROT 4 OTHER 6 NO PRES. VOTE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/266 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 61 if92who WHO WOULD R HAVE VOTED FOR-1992 ELECTION IF DID NOT VOTE OR INELIGIBLE: Who would you have voted for, for President, had you voted? VALUE LABEL 0 NAP 1 CLINTON 2 BUSH 3 PEROT 4 OTHER 5 WOULDNT VOTE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/267 ________________________________________________________________________ vote96 DID R VOTE IN 1996 ELECTION In 1996, you remember that Clinton ran for President on the Democratic ticket against Dole for the Republicans and Perot for the Reform Party. Do you remember for sure whether or not you voted in that election? VALUE LABEL 0 NAP 1 VOTED 2 DID NOT VOTE 3 INELIGIBLE 4 REFUSED TO ANSWR 8 DONT KNOW/REMMBR 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/268 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 62 pres96 VOTE FOR CLINTON, DOLE, PEROT VALUE LABEL 0 NAP 1 CLINTON 2 DOLE 3 PEROT 4 OTHER (SPECIFY) 6 DIDNT VOTE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/269 ________________________________________________________________________ if96who WHO WOULD R HAVE VOTED FOR-1996 ELECTION B. IF DID NOT VOTE OR INELIGIBLE: Who would you have voted for, for President, if you had voted? VALUE LABEL 0 NAP 1 CLINTON 2 DOLE 3 PEROT 4 OTHER 8 DONT KNOW/RMEMBR 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/270 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 63 polviews THINK OF SELF AS LIBERAL OR CONSERVATIVE We hear a lot of talk these days about liberals and conservatives. I'm going to show you a seven-point scale on which the political views that people might hold are arranged from extremely liberal--point 1--to extremely conservative--point 7. Where would you place yourself on this scale? VALUE LABEL 0 NAP 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE 5 SLGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTRMLY CONSERVATIVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/271 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 64 polviewy LIBERAL OR CONSERVATIVE-VERSION Y We hear a lot of talk these days about liberals and conservatives. I'm going to show you a seven-point scale on which the political views that people might hold are arranged from extremely liberal--point 1--to extremely conservative--point 7. Where would you place yourself on this scale, or haven't you thought much about this? VALUE LABEL -1 NAP 0 HAVENT THGHT ABT IT 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE 5 SLGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTRMLY CONSERVATIVE 8 DK 9 NA Data type: numeric Missing-data codes: -1,8-* Record/column: 1/272 ________________________________________________________________________ polviewx LIBERAL OR CONSERVATIVE-VERSION X In poltiical matters, people talk of "the left" and "the right." How would you place your views on this scale? VALUE LABEL 0 NAP 1 LEFT 10 RIGHT 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/273-274 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 65 natspac SPACE EXPLORATION PROGRAM We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we're spending too much money on it, too little money, or about the right amount. First the space exploration program...are we spending too much, too little, or about the right amount on the space exploration program? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/275 ________________________________________________________________________ natenvir IMPROVING & PROTECTING ENVIRONMENT Are we spending too much, too little, or about the right amount on improving and protecting the environment? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/276 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 66 natheal IMPROVING & PROTECTING NATIONS HEALTH Are we spending too much, too little, or about the right amount on improving and protecting the nation's health? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/277 ________________________________________________________________________ natcity SOLVING PROBLEMS OF BIG CITIES Are we spending too much, too little, or about the right amount on solving the problems of the big cities? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/278 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 67 natcrime HALTING RISING CRIME RATE Are we spending too much, too little, or about the right amount on halting the rising crime rate? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/279 ________________________________________________________________________ natdrug DEALING WITH DRUG ADDICTION Are we spending too much, too little, or about the right amount on dealing with drug addiction? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/280 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 68 nateduc IMPROVING NATIONS EDUCATION SYSTEM Are we spending too much, too little, or about the right amount on improving the nation's education system? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/281 ________________________________________________________________________ natrace IMPROVING THE CONDITIONS OF BLACKS Are we spending too much, too little, or about the right amount on improving the conditions of Blacks? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/282 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 69 natarms MILITARY, ARMAMENTS, AND DEFENSE Are we spending too much, too little, or about the right amount on the military, armaments, and defense? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/283 ________________________________________________________________________ nataid FOREIGN AID Are we spending too much, too little, or about the right amount on foreign aid? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/284 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 70 natfare WELFARE Are we spending too much, too little, or about the right amount on welfare? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/285 ________________________________________________________________________ natroad HIGHWAYS AND BRIDGES Are we spending too much, too little, or about the right amount on highways and bridges? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/286 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 71 natsoc SOCIAL SECURITY Are we spending too much, too little, or about the right amount on Social Security? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/287 ________________________________________________________________________ natmass MASS TRANSPORTATION Are we spending too much, too little, or about the right amount on Mass Transportation? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/288 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 72 natpark PARKS AND RECREATION Are we spending too much, too little, or about the right amount on parks and recreation? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/289 ________________________________________________________________________ natspacy SPACE EXPLORATION -- VERSION Y We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we're spending too much money on it, too little money, or about the right amount. First the space exploration program...are we spending too much, too little, or about the right amount on the space exploration program? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/290 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 73 natenviy THE ENVIRONMENT -- VERSION Y Are we spending too much, too little, or about the right amount on the environment? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/291 ________________________________________________________________________ nathealy HEALTH -- VERSION Y Are we spending too much, too little, or about the right amount on health? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/292 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 74 natcityy ASSISTANCE TO BIG CITIES -- VERSION Y Are we spending too much, too little, or about the right amount on assitance to big cities? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/293 ________________________________________________________________________ natcrimy LAW ENFORCEMENT -- VERISON Y Are we spending too much, too little, or about the right amount on law enforcement? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/294 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 75 natdrugy DRUG REHABILITATION -- VERSION Y Are we spending too much, too little, or about the right amount on drug rehabilitation? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/295 ________________________________________________________________________ nateducy EDUCATION -- VERSION Y Are we spending too much, too little, or about the right amount on education? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/296 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 76 natracey ASSISTANCE TO BLACKS -- VERSION Y Are we spending too much, too little, or about the right amount on assistance to blacks? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/297 ________________________________________________________________________ natarmsy NATIONAL DEFENSE -- VERSION Y Are we spending too much, too little, or about the right amount on national defense? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/298 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 77 nataidy ASSISTANCE TO OTHER COUNTRIES -- VER Y Are we spending too much, too little, or about the right amount on assistance to other countries? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/299 ________________________________________________________________________ natfarey ASSISTANCE TO THE POOR -- VERSION Y Are we spending too much, too little, or about the right amount on assistance to the poor? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/300 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 78 natspacz SPACE EXPLORATION -- VERSION Z We are faced with many problems in this country, none of which can be solved easily or inexpensively. I'm going to name some of these problems, and for each one I'd like you to tell me whether you think we're spending too much money on it, too little money, or about the right amount. First advancing space exploration...are we spending too much, too little, or about the right amount on advancing space exploration? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/301 ________________________________________________________________________ natenviz IMPROVING THE ENVIRONMENT -- VERSION Z Are we spending too much, too little, or about the right amount on improving and protecting the environment? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/302 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 79 nathealz IMPROVING HEALTH -- VERSION Z Are we spending too much, too little, or about the right amount on improving and protecting the nation's health? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/303 ________________________________________________________________________ natcityz SOLVING PROBLEMS OF BIG CITIES -- VER Z Are we spending too much, too little, or about the right amount on solving the problems of the big cities? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/304 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 80 natcrimz REDUCING CRIME -- VERISON Z Are we spending too much, too little, or about the right amount on reducing crime? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/305 ________________________________________________________________________ natdrugz REDUCING DRUG ADDICTION -- VERSION Z Are we spending too much, too little, or about the right amount on reducing drug addiction? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/306 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 81 nateducz IMPROVING THE EDUCATION SYSTEM -- VER Z Are we spending too much, too little, or about the right amount on improving the nation's education system? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/307 ________________________________________________________________________ natracez IMPROVING CONDITIONS OF BLACKS -- VER Z Are we spending too much, too little, or about the right amount on improving the conditions of Blacks? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/308 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 82 natarmsz STRENGTHENING NATIONAL DEFENSE -- VER Z Are we spending too much, too little, or about the right amount on strengthening the naitonal defense? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/309 ________________________________________________________________________ nataidz HELPING OTHER COUNTRIES -- VERSION Z Are we spending too much, too little, or about the right amount on helping other countries? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/310 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 83 natfarez CARING FOR THE POOR -- VERSION Z Are we spending too much, too little, or about the right amount on caring for the poor? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/311 ________________________________________________________________________ natroadz IMPROVING HIGHWAYS AND BRIDGES -- VER Z Are we spending too much, too little, or about the right amount on improving the conditions of highways and bridges? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/312 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 84 natsocz PROTECTING SOCIAL SECURITY -- VERSION Z Are we spending too much, too little, or about the right amount on protecting Social Security? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/313 ________________________________________________________________________ natmassz IMPROVING MASS TRANSIT -- VERSION Z Are we spending too much, too little, or about the right amount on improving mass trasportation? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/314 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 85 natparkz IMPROVING PARKS AND RECREATION -- VER Z Are we spending too much, too little, or about the right amount on improving parks and recreation? VALUE LABEL 0 NAP 1 TOO LITTLE 2 ABOUT RIGHT 3 TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/315 ________________________________________________________________________ equal1 EVERYONE SHOULD LOOK OUT FOR SELF On these cards are some opinions about the government and the economy. For each one I'd like you to tell me whether you strongly agree, somewhat agree, somewhat disagree or strongly disagree. In our society everyone must look out for himself. It is of little use to unite with others and fight for one's goals in politics or in unions. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/316 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 86 equal2 BUSINESS PROFITS BENEFIT ALL The economy can run only if businessmen make good profits. That benefits everyone in the end. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/317 ________________________________________________________________________ equal3 GOVT SHLD INSURE JOBS AND STABLE PRICES The government must see to it that everyone has a job and that prices are stable, even if the rights of businessmen have to be restricted. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/318 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 87 equal4 RESPONSIBILITY OF GOVT TO MEET NEEDS It is the responsibility of government to meet everyone's needs, even in case of sickness, poverty, unemployment, and old age. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/319 ________________________________________________________________________ equal5 SOCIAL WELFARE BENEFITS ARE DISINCENTIVE If social welfare benefits such as disability, unemployment compensation, and early retirement pensions are as high as they are now, it only makes people not want to work anymore. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/320 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 88 equal6 ONE IS ABLE TO LIVE WELL IN AMERICA All in all, one can live well in America. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/321 ________________________________________________________________________ equal7 BUSINESS PROFITS ARE DISTRIBUTED FAIRLY Generally speaking, business profits are distributed fairly in the United States. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/322 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 89 equal8 SOCIAL STANDING DUE TO ABILITY If someone has a high social or economic position, that indicates the person has special abilities or great accomplishments. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/323 ________________________________________________________________________ usclass1 TRADITIONAL CLASS DIVISIONS STILL REMAIN Here are different opinions about social differences in this country. Please tell me for each one whether you stornly agree, somewhat agree, somewhat disagree, or strongly disagree. READ EACH STATEMENT. In the United States traditional divisions between owners and workers still remain. A person's social standing depends upon whether he/she belongs to the upper or lower class. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/324 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 90 usclass2 ACHIEVEMENT DEPENDS ON FAMILY BACKGROUND In the United States there are still great differences between social levels, and what one can achieve in life depends mainly upon one's family background. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/325 ________________________________________________________________________ usclass3 ACHIEVEMENT DEPENDS ON EDUC AND ABILITY America has an open society. What one achieves in life no longer depends on one's family background, but on the abilities one has and the education one acquires. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/326 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 91 usclass4 ONES OWN EFFORTS DONT COUNT What one gets in life hardly depends at all on one's own efforts, but rather on the economic situation, job opportunities, union agreements, and the social services provided by the government. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/327 ________________________________________________________________________ usclass5 PERSONAL INCOME NOT DETERMINED BY WORK Personal income should not be determined solely by one's work. Rather, everybody should get what he/she needs to provide a decent life for his/her family. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/328 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 92 usclass6 DIFFERENCES IN CLASS ARE AN INCENTIVE Only if differences in income and social standing are large enough is ther an incentive for individual effort. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/329 ________________________________________________________________________ usclass7 DIFFERENCES IN CLASS REFLECT OWN EFFORT Differences in social standing between people are acceptable because they basically reflect what people made out of the opportunities they had. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/330 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 93 usclass8 SOCIAL DIFFERENCES ARE ACCEPTABLE All in all, I think social differences in this country are justified. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 SOMEWHAT AGREE 3 SOMEWHT DISAGREE 4 STRNGLY DISAGREE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/331 ________________________________________________________________________ educop EQUAL OPPORTUNITY TO OBTAIN EDUCATION? Does everyone in this country have an opportunity to obtain an education corresponding to their abilities and talents? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/332 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 94 govcare GOVT CONCERN FOR SOCIAL WELFARE For some time there have been discussions about how concerned the government should be about the social welfare of people. We have listed here two different HAND opinions. With which opinion do you agree the most? A. Our system of social services goes much too far. It takes too much care of people and deprives them of too much individual responsibility. B. Our system of social services is on the right track. It provides security for the elderly, the sick, and other people in distress without depriving people of individual responsibility. VALUE LABEL 0 NAP 1 TOO MUCH CARE 2 ON RIGHT TRACK 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/333 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 95 eqwlth SHOULD GOVT REDUCE INCOME DIFFERENCES Some people think that the government in Washington ought to reduce the income differences between the rich and the poor, perhaps by raising the taxes of wealthy families or by giving income assistance to the poor. Others think that the government should not concern itself with reducing this income difference between the rich and the poor. Here is a card with a scale from 1 to 7. Think of a score of 1 as meaning that the government ought to reduce the income differences between rich and poor, and a score of 7 meaning that the government should not concern itself with reducing income differences. What score between 1 and 7 comes closest to the way you feel? VALUE LABEL 0 NAP 1 GOVT REDUCE DIFF 7 NO GOVT ACTION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/334 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 96 eqwlthy GOVT REDUCE INCOME DIFFERENCES-VERSION Y Some people think that the income differences between the rich and the poor ought to be reduced, perhaps by raising the taxes of wealthy families or by giving income assistance to the poor. Others think that the government should not concern itself with reducing this income difference between the rich and the poor. Here is a card with a scale from 1 to 7. Think of a score of 1 as meaning that the government ought to reduce the income differences between rich and poor, and a score of 7 meaning that the government should not concern itself with reducing income differences. What score between 1 and 7 comes closest to the way you feel? VALUE LABEL 0 NAP 1 GOVT REDUCE DIFF 7 NO GOVT ACTION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/335 ________________________________________________________________________ tax RS FEDERAL INCOME TAX Do you consider the amount of federal income tax which you have to pay as too high, about right, or too low? VALUE LABEL 0 NAP 1 TOO HIGH 2 ABOUT RIGHT 3 TOO LOW 4 R PAYS NONE<VOL.> 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/336 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 97 spkath ALLOW ANTI-RELIGIONIST TO SPEAK There are always some people whose ideas are considered bad or dangerous by other people. For instance, somebody who is agianst all churches and religion... If such a person wanted to make a speech in your (city/town/community) against churches and religion, should he be allowed to speak, or not? VALUE LABEL 0 NAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/337 ________________________________________________________________________ colath ALLOW ANTI-RELIGIONIST TO TEACH Should such a person be allowed to teach in a college or university, or not? VALUE LABEL 0 NAP 4 ALLOWED 5 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/338 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 98 libath ALLOW ANTI-RELIGIOUS BOOK IN LIBRARY If some people in your community suggested that a book he wrote against churches and religion should be taken out of your public library, would you favor removing this book, or not? VALUE LABEL 0 NAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/339 ________________________________________________________________________ spksoc ALLOW SOCIALIST TO SPEAK Or consider a person who favored government ownership of all the railroads and all big industries. If such a person wanted to make a speech in your community favoring government ownership of all the railroads and big industries, should he be allowed to speak, or not? VALUE LABEL 0 NAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/340 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 99 colsoc ALLOW SOCIALIST TO TEACH Should such a perosn be allowed to teach in a college or university, or not? VALUE LABEL 0 NAP 4 ALLOWED 5 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/341 ________________________________________________________________________ libsoc ALLOW SOCIALISTS BOOK IN LIBRARY If some people in your community suggested a book he wrote favoring government ownership should be taken out of your public library, would you favor removing this book, or not? VALUE LABEL 0 NAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/342 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 100 spkrac ALLOW RACIST TO SPEAK Or consider a person who believes that Blacks are genetically inferior. If such a person wanted to make a speech in you community claiming that Blacks are inferior, should he be allowed to speak, or not? VALUE LABEL 0 NAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/343 ________________________________________________________________________ colrac ALLOW RACIST TO TEACH Should such a perosn be allowed to teach in a college or university, or not? VALUE LABEL 0 NAP 4 ALLOWED 5 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/344 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 101 librac ALLOW RACISTS BOOK IN LIBRARY If some people in your community suggested a book he wrote which said that Blacks are inferior should be taken out of your public library, would you favor removing this book, or not? VALUE LABEL 0 NAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/345 ________________________________________________________________________ spkcom ALLOW COMMUNIST TO SPEAK Now, I should like to ask you some questions about a man who admits he is a Communist. Suppose this admitted Communist wanted to make a speech in your community. Should he be allowed to speak, or not? VALUE LABEL 0 NAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/346 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 102 colcom SHOULD COMMUNIST TEACHER BE FIRED Suppose he is teaching in a college. Should he be fired, or not? VALUE LABEL 0 NAP 4 FIRED 5 NOT FIRED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/347 ________________________________________________________________________ libcom ALLOW COMMUNISTS BOOK IN LIBRARY Suppose he wrote a book which is in your public library. Somebody in your community suggests that the book should be removed from the library. Would you favor removing it, or not? VALUE LABEL 0 NAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/348 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 103 spkmil ALLOW MILITARIST TO SPEAK Consider a person who advocates doing away with elections and letting the military run the country. If such a person wanted to make a speech in your community, should he be allowed to speak, or not? VALUE LABEL 0 NAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/349 ________________________________________________________________________ colmil ALLOW MILITARIST TO TEACH Should such a person be allowed to teach in a college or university, or not? VALUE LABEL 0 NAP 4 ALLOWED 5 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/350 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 104 libmil ALLOW MILITARISTS BOOK IN LIBRARY Suppose he wrote a book advocating doing away with elections and letting the military run the country. Somebody in your community suggests that the book be removed from the public library. Would you favor removing it, or not? VALUE LABEL 0 NAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/351 ________________________________________________________________________ spkhomo ALLOW HOMOSEXUAL TO SPEAK And what about a man who admits that he is a homosexual. Suppose this admitted homosexual wanted to make a speech in your community. Should he be allowed to speak, or not? VALUE LABEL 0 NAP 1 ALLOWED 2 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/352 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 105 colhomo ALLOW HOMOSEXUAL TO TEACH Should such a person be allowed to teach in a college or university, or not? VALUE LABEL 0 NAP 4 ALLOWED 5 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/353 ________________________________________________________________________ libhomo ALLOW HOMOSEXUALS BOOK IN LIBRARY If some people in your community suggested that a book he wrote in favor of homosexuality should be taken out of your public library, would you favor removing this book, or not? VALUE LABEL 0 NAP 1 REMOVE 2 NOT REMOVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/354 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 106 cappun2 DOES R FAVOR CAPITAL PUNISHMENT Are you in favor of the death penalty for persons convicted of murder? VALUE LABEL 0 NAP 1 YES,FAVOR 2 NO,DONT FAVOR 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/355 ________________________________________________________________________ cappun FAVOR OR OPPOSE DEATH PENALTY FOR MURDER Do you favor or oppose the death penalty for persons convicted of murder? VALUE LABEL 0 NAP 1 FAVOR 2 OPPOSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/356 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 107 capimp IMPORTANCE OF DEATH PENALTY ISSUE TO R How important is the death penalty issue to you--would you say it is one of the most important, not very important, or not important at all? VALUE LABEL 0 NAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/357 ________________________________________________________________________ capinfo HOW MUCH INFO R HAS ON DEATH PENALTY How much information do you have about the death penalty issue? Do you have all of the information you need, most of the information, some information, or very little information? VALUE LABEL 0 NAP 1 ALL INFO R NEEDS 2 MOST OF THE INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/358 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 108 capfirm HOW FIRM IS RS OPINION OF DEATH PENALTY How firm are you about your opinion on the death penalty--would you say you are very likely to change your opinion, somewhat likely to change, somewhat unlikely to change, or very unlikely to change? VALUE LABEL 0 NAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/359 ________________________________________________________________________ gunlaw FAVOR OR OPPOSE GUN PERMITS Would you favor or oppose a law which would require a person to obtain a police permit before he or she could buy a gun? VALUE LABEL 0 NAP 1 FAVOR 2 OPPOSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/360 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 109 gunimp IMPORTANCE OF GUN CONTROL ISSUE TO R How important is the gun control issue to you--would you say it is one of the most important, important, not very important, or not important at all? VALUE LABEL 0 NAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/361 ________________________________________________________________________ guninfo HOW MUCH INFO DOES R HAVE ON GUN CONTROL How much information do you have about the gun control issue? Do you have all the information you need, most of the information, some information, or very little information? VALUE LABEL 0 NAP 1 ALL INFO R NEEDS 2 MOST OF THE INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/362 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 110 gunfirm HOW FIRM IS RS OPINION ON GUN CONTROL How firm are you about your opinion on gun control-- would you say you are very likely to change your opinion, somewhat likely to change, somewhat unlikely to change, or very unlikely to change? VALUE LABEL 0 NAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/363 ________________________________________________________________________ courts COURTS DEALING WITH CRIMINALS In general, do you think the courts in this area deal too harshly or not harshly enough with criminals? VALUE LABEL 0 NAP 1 TOO HARSH 2 NOT HARSH ENOUGH 3 ABOUT RIGHT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/364 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 111 courtsy COURTS DEALING WITH CRIMINALS-VERSION Y In general, do you think the courts in this area deal too harshly, or not harshly enough with criminals, or don't you have enough information about the courts to say? VALUE LABEL 0 NAP 1 TOO HARSH 2 NOT HARSH ENOUGH 3 ABOUT RIGHT 8 CANT SAY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/365 ________________________________________________________________________ crimimp IMPORTANCE OF CRIME ISSUE TO R How important is the crime issue to you--would you say it is one of the most important, important, not very important, or not important at all? VALUE LABEL 0 NAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/366 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 112 criminfo HOW MUCH INFO DOES R HAVE ON CRIME ISSUE How much information do you have about the crime issue? Do you have all of the information you need, most of the information, some information, or very little information? VALUE LABEL 0 NAP 1 ALL INFO R NEEDS 2 MOST OF THE INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/367 ________________________________________________________________________ crimfirm HOW FIRM IS RS OPINION ON CRIME ISSUE How firm are you about your opinion on crime--would you say you are very likely to change your opinion, somewhat likely to change, somewhat unlikely to change, or very unlikely to change? VALUE LABEL 0 NAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/368 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 113 lawimp IMPORTANCE OF LAW ENFORCEMENT ISSUE TO R How important is the law enforcement issue to you-- would you say it is one of the most important, important, not very important, or not important at all? VALUE LABEL 0 NAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/369 ________________________________________________________________________ lawinfo HOW MUCH INFO DOES R HAVE ON LAW ISSUE How much information do you have about the law enforcement issue? Do you have all of the information you need, most of the information, some information, or very little information? VALUE LABEL 0 NAP 1 ALL INFO R NEEDS 2 MOST OF THE INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/370 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 114 lawfirm HOW FIRM IS RS OPINION ON LAW ISSUE How firm are you about your opinion on law enforcement--would you say you are very likely to change your opinion, somewhat likely to change, somewhat unlikely to change, or very unlikely to change? VALUE LABEL 0 NAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/371 ________________________________________________________________________ wirtap WIRETAPPING Everything considered, would you say that, in general, you approve or disapprove of wiretapping. VALUE LABEL 0 NAP 1 APPROVE 2 DISAPPROVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/372 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 115 grass SHOULD MARIJUANA BE MADE LEGAL Do you think the use of marijuana should be made legal or not? VALUE LABEL 0 NAP 1 LEGAL 2 NOT LEGAL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/373 ________________________________________________________________________ grassy SHOULD MARIJUANA BE LEGAL-VERSION Y Some people think the use of marijuana should be made legal. Other people think marijuana use should not be made legal. Which do you favor? VALUE LABEL 0 NAP 1 LEGAL 2 NOT LEGAL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/374 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 116 uswar EXPECT U.S. IN WAR WITHIN 10 YEARS Do you expect the United States to fight in another war within the next ten years? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/375 ________________________________________________________________________ uswary EXPECT U.S. IN WORLD WAR IN 10 YEARS Do you expect the United States to fight in another world war within the next ten years? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/376 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 117 usintl TAKE ACTIVE PART IN WORLD AFFAIRS Do you think it will be best for the future of this country if we take an active part in world affairs, or if we stay out of world affairs? VALUE LABEL 0 NAP 1 ACTIVE PART 2 STAY OUT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/377 ________________________________________________________________________ usun REMAIN IN U.N. OR PULL OUT Do you think our government should continue to belong to the United Nations, or should we pull out of it now? VALUE LABEL 0 NAP 1 STAY IN 2 PULL OUT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/378 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 118 commun FEELINGS ABOUT COMMUNISM Thinking about all the different kinds of governments in the world today, which of these statements comes closest to how you feel about Communism as a form of government? VALUE LABEL 0 NAP 1 WORST KIND 2 BAD, NOT WORST 3 OK FOR SOME 4 GOOD FORM 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/379 ________________________________________________________________________ commun10 FEELINGS ABOUT COMMUNISM 10 YRS AGO What about ten years ago, that is in 1972, which of these statements came closest to how you felt about Communism as a form of government? VALUE LABEL 0 NAP 1 WORST KIND 2 BAD, NOT WORST 3 OK FOR SOME 4 GOOD FORM 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/380 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 119 russia LIKING FOR RUSSIA You will notice that the boxes on this card go from the highest positions of "plus 5" for a country which you like very much, to the lowest position of "minus 5" for a country you dislike very much. How far up the scale or how far down the scale would you rate the following countries? Russia. VALUE LABEL -1 DK,NA,NAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5 Data type: numeric Missing-data code: -1 Record/column: 1/381 ________________________________________________________________________ japan LIKING FOR JAPAN B. Japan VALUE LABEL -1 DK,NA,NAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5 Data type: numeric Missing-data code: -1 Record/column: 1/382 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 120 england LIKING FOR ENGLAND C. England VALUE LABEL -1 DK,NA,NAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5 Data type: numeric Missing-data code: -1 Record/column: 1/383 ________________________________________________________________________ canada LIKING FOR CANADA D. Canada VALUE LABEL -1 DK,NA,NAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5 Data type: numeric Missing-data code: -1 Record/column: 1/384 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 121 brazil LIKING FOR BRAZIL E. Brazil VALUE LABEL -1 DK,NA,NAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5 Data type: numeric Missing-data code: -1 Record/column: 1/385 ________________________________________________________________________ china LIKING FOR CHINA F. China VALUE LABEL -1 DK,NA,NAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5 Data type: numeric Missing-data code: -1 Record/column: 1/386 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 122 israel LIKING FOR ISRAEL G. Israel VALUE LABEL -1 DK,NA,NAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5 Data type: numeric Missing-data code: -1 Record/column: 1/387 ________________________________________________________________________ egypt LIKING FOR EGYPT H. Egypt VALUE LABEL -1 DK,NA,NAP 0 +5 1 +4 2 +3 3 +2 4 +1 5 -1 6 -2 7 -3 8 -4 9 -5 Data type: numeric Missing-data code: -1 Record/column: 1/388 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 123 relig RS RELIGIOUS PREFERENCE What is your religious preference? Is it Protestant, Catholic, Jewish, some other religion, or no religion? VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER (SPECIFY) 6 BUDDHISM 7 HINDUISM 8 OTHER EASTERN 9 MOSLEM/ISLAM 10 ORTHODOX-CHRISTIAN 11 CHRISTIAN 12 NATIVE AMERICAN 13 INTER-NONDENOMINATIONAL 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/389-390 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 124 denom SPECIFIC DENOMINATION What specific demonimation is that, if any? VALUE LABEL 0 NAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN US 42 OTHER PRESBYTERIAN 43 PRESBYTERIAN, MERGED 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/391-392 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 125 other OTHER PROTESTANT DENOMINATIONS other VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/393-395 ________________________________________________________________________ jew WHAT SORT OF JEW R IS Do you consider yourself Othodox, Conservative, Reform or none of these? VALUE LABEL 0 NAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/396 ________________________________________________________________________ fund HOW FUNDAMENTALIST IS R CURRENTLY See Appendix S, GSS Methodological Report No. 43. VALUE LABEL 0 NAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/397 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 126 attend HOW OFTEN R ATTENDS RELIGIOUS SERVICES How often do you attend religious services? VALUE LABEL 0 NEVER 1 LT ONCE A YEAR 2 ONCE A YEAR 3 SEVRL TIMES A YR 4 ONCE A MONTH 5 2-3X A MONTH 6 NRLY EVERY WEEK 7 EVERY WEEK 8 MORE THN ONCE WK 9 DK,NA Data type: numeric Missing-data code: 9 Record/column: 1/398 ________________________________________________________________________ maattend HOW OFTEN MA ATTENDED RELIGIOUS SERVICES When you were growing up, how often did your mother (MOTHER SUBSTITUTE) attend religious services? VALUE LABEL -1 NAP 0 NEVER 1 LT ONCE A YEAR 2 ONCE A YEAR 3 SEVRL TIMES A YR 4 ONCE A MONTH 5 2-3X A MONTH 6 NRLY EVERY WEEK 7 EVERY WEEK 8 MORE THN ONCE WK 9 DK,NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/399 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 127 paattend HOW OFTEN PA ATTENDED RELIGIOUS SERVICES When you were growing up, how often did your father (FATHER SUBSTITUTE) attend religious services? VALUE LABEL -1 NAP 0 NEVER 1 LT ONCE A YEAR 2 ONCE A YEAR 3 SEVRL TIMES A YR 4 ONCE A MONTH 5 2-3X A MONTH 6 NRLY EVERY WEEK 7 EVERY WEEK 8 MORE THN ONCE WK 9 DK,NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/400 ________________________________________________________________________ spattend HOW OFTEN SP ATTENDS RELIGIOUS SERVICES How often does your (husband/wife) attend religious services? VALUE LABEL -1 NAP 0 NEVER 1 LT ONCE A YEAR 2 ONCE A YEAR 3 SEVRL TIMES A YR 4 ONCE A MONTH 5 2-3X A MONTH 6 NRLY EVERY WEEK 7 EVERY WEEK 8 MORE THN ONCE WK 9 DK,NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/401 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 128 reliten STRENGTH OF AFFILIATION ASK EVERYONE WITH ANY RELIGIOUS PREFERENCE NAMED IN Q. 104: Would you call yourself a strong (PREFERENCE NAMED IN Q. 104 OR 104-A) or a not very strong (PREFERENCE*ee*i NAMED IN Q. 104 OR 104-A)? VALUE LABEL 0 NAP 1 STRONG 2 NOT VERY STRONG 3 SOMEWHAT STRONG 4 NO RELIGION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/402 ________________________________________________________________________ postlife BELIEF IN LIFE AFTER DEATH Do you believe tehre is a life after death? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/403 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 129 postlf1 LIFE OF PEACE AND TRANQUILITY IF YES OR UNDECIDED TO Q. 108: Of course, no one knows exactly what life after death would be like, but here are some ideas people have had. (HAND CARDS) How likely do you feel each possibility is? Would you say very likely, somewhat likely, not too likely, or not likely at all? (CIRCLE ONE NUMBER BESIDE EACH IDEA). A life of peace and tranquility. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/404 ________________________________________________________________________ postlf2 LIFE OF INTENSE ACTION A life of intense action. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/405 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 130 postlf3 LIKE HERE ON EARTH ONLY BETTER A life like the one here on earth only better. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/406 ________________________________________________________________________ postlf4 LIFE WITHOUT MANY EARTHLY JOYS A life without many things which make our present life enjoyable. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/407 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 131 postlf5 PALE OR SHADOWY FORM OF LIFE A pale, shadowy form of life, hardly life at all. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/408 ________________________________________________________________________ postlf6 A SPIRITUAL LIFE INVOLVING MIND NOT BODY A spiritual life, involving our mind but not our body. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/409 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 132 postlf7 PARADISE OF PLEASURES AND DELIGHTS A paradise of pleasure and delights. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/410 ________________________________________________________________________ postlf8 PLACE OF LOVING INTELLECTUAL COMMUNION A place of loving intellectual communion. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/411 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 133 postlf9 UNION WITH GOD Union with God. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/412 ________________________________________________________________________ postlf10 REUNION WITH LOVED ONES Reunion with loved ones. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/413 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 134 likediff AFTERLIFE CONTRAST: BETTER OR LACKING People picture life after death in many different ways. We'd like to know how you think of life after death. Here is a card with sets of contrasting images. On a scale of 1-7 where would you place your image of life after death. Look at the first set of contrasting images. If you think that life after death is "A life like the one here on earth only better," you would place yourself at 1. If you think it is "A life without many things which make our present life enjoyable" you would place yourself at 7. If you think it is somewhere between these two you would place yourself at 2, 3, 4, 5, or 6. Where would you place your images of life after death for "A life like the one here on earth only better" vs. "A life without many things which make our present life enjoyable?" VALUE LABEL 0 NAP 1 BETTER THAN EARTH 7 LIFE LACKING 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/414 ________________________________________________________________________ mindbody AFTERLIFE CONTRAST: SPIRITUAL OR SENSUAL Where would you place your images of life after death for "A spiritual life, involving our mind but not our body" vs. "A paradise of pleasure and delights?" VALUE LABEL 0 NAP 1 SPIRITUAL 7 SENSUAL LIFE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/415 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 135 restact AFTERLIFE CONTRAST: PEACEFUL OR ACTION Where would you place your images of life after death for "A life of peaceful and tranquil contemplation" vs. "A life of intense action?" VALUE LABEL 0 NAP 1 PEACEFUL 7 INTENSE ACTION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/416 ________________________________________________________________________ palefull AFTERLIFE CONTRAST: SHADOWS OR FULL Where would you place your images of life after death for "A pale, shadowy form of life, hardly life at all" vs. "A life of complete fulfillment, spiritual and physical?" VALUE LABEL 0 NAP 1 PALE, SHADOWY 7 COMPLETE FULFILLMENT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/417 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 136 pray HOW OFTEN DOES R PRAY About how often do you pray? VALUE LABEL 0 NAP 1 SEVERAL TIMES A DAY 2 ONCE A DAY 3 SEVERAL TIMES A WEEK 4 ONCE A WEEK 5 LT ONCE A WEEK 6 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/418 ________________________________________________________________________ dejavu THOUGHT ONE WAS SOMEPLACE BEFORE How often have you had any of the following experiences? Thought you were somewhere you had been before, but knew that it was impossible. VALUE LABEL 0 NAP 1 NEVER IN MY LIFE 2 ONCE OR TWICE 3 SEVERAL TIMES 4 OFTEN 8 CANNOT ANSWER 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/419 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 137 esp FELT IN TOUCH WITH SOMEONE FAR AWAY Felt as though you were in touch with someone when they were far away from you. VALUE LABEL 0 NAP 1 NEVER IN MY LIFE 2 ONCE OR TWICE 3 SEVERAL TIMES 4 OFTEN 8 CANNOT ANSWER 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/420 ________________________________________________________________________ visions PERCEIVED EVENTS AT GREAT DISTANCE Seen events that happened at a great distance as they were happening. VALUE LABEL 0 NAP 1 NEVER IN MY LIFE 2 ONCE OR TWICE 3 SEVERAL TIMES 4 OFTEN 8 CANNOT ANSWER 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/421 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 138 spirits FELT IN TOUCH WITH DECEASED PERSON Felt as though you were really in touch with someone who had died. VALUE LABEL 0 NAP 1 NEVER IN MY LIFE 2 ONCE OR TWICE 3 SEVERAL TIMES 4 OFTEN 8 CANNOT ANSWER 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/422 ________________________________________________________________________ grace HAD POWERFUL RELIGIOUS EXPERIENCE Felt as though you were very close to a powerful, spiritual force that seemed to lift you out of yourself. VALUE LABEL 0 NAP 1 NEVER IN MY LIFE 2 ONCE OR TWICE 3 SEVERAL TIMES 4 OFTEN 8 CANNOT ANSWER 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/423 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 139 neargod HOW CLOSE DOES R FEEL TO GOD How close do you feel to God most of the time? Would you say extremely close, somewhat close, not very close, or not close at all? VALUE LABEL 0 NAP 1 EXTREMELY CLOSE 2 SOMEWHAT CLOSE 3 NOT VERY CLOSE 4 NOT CLOSE AT ALL 5 DOES NOT BELIEVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/424 ________________________________________________________________________ judge IMAGE OF GOD AS JUDGE When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? Judge. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/425 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 140 redeemer IMAGE OF GOD AS REDEEMER When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? Redeemer. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/426 ________________________________________________________________________ lover IMAGE OF GOD AS LOVER When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? Lover. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/427 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 141 master IMAGE OF GOD AS MASTER When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? Master. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/428 ________________________________________________________________________ mother IMAGE OF GOD AS MOTHER When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? Mother. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/429 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 142 creator IMAGE OF GOD AS CREATOR When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? Creator. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/430 ________________________________________________________________________ father IMAGE OF GOD AS FATHER When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? Father. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/431 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 143 spouse IMAGE OF GOD AS SPOUSE When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? Spouse. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/432 ________________________________________________________________________ friend IMAGE OF GOD AS FRIEND When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? Friend. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/433 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 144 king IMAGE OF GOD AS KING When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? King. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/434 ________________________________________________________________________ liberatr IMAGE OF GOD AS LIBERATOR When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? Liberator. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/435 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 145 healer IMAGE OF GOD AS HEALER When you think about God, how likely are each of these images to come to your mind? Would you say extremely likely, somewhat likely, not too likely, or not likely at all? Healer. VALUE LABEL 0 NAP 1 EXTREMELY LIKELY 2 SOMEWHAT LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/436 ________________________________________________________________________ mapa CONTRAST BETWEEN MOTHER AND FATHER There are many different ways of picturing God. We'd like to know the kinds of images you are most likely to associate with God. Here is a card with sets of contrasting images. On a scale of 1-7 where would you place your image of God between two contrasting images. The first set of contrasting images shows Mother at 1 on the scale and Father at 7. If you imagine God as Mother you would place yourself at 1. If you imagine God as a Father, you would place yourself at 7. If you imagine God as somewhere between Mother and Father, you would place yourself at 2, 3, 4, 5, or 6. Where would you place your image of God on the scale for "Mother" vs. "Father." VALUE LABEL 0 NAP 1 MOTHER 7 FATHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/437 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 146 mastersp CONTRAST BETWEEN MASTER AND SPOUSE Where would you place your image of God on the scale for "Master" vs. "Spouse." VALUE LABEL 0 NAP 1 MASTER 7 SPOUSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/438 ________________________________________________________________________ judgeluv CONTRAST BETWEEN JUDGE AND LOVER Where would you place your image of God on the scale for "Judge" vs. "Lover." VALUE LABEL 0 NAP 1 JUDGE 7 LOVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/439 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 147 frndking CONTRAST BETWEEN FRIEND AND KING Where would you place your image of God on the scale for "Friend" vs. "King." VALUE LABEL 0 NAP 1 FRIEND 7 KING 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/440 ________________________________________________________________________ crtrheal CONTRAST BETWEEN CREATOR AND HEALER Where would you place your image of God on the scale for "Creator" vs. "Healer." VALUE LABEL 0 NAP 1 CREATOR 7 HEALER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/441 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 148 rdeemlib CONTRAST BETWEEN REDEEMER AND LIBERATOR Where would you place your image of God on the scale for "Redeemer" vs. "Liberator." VALUE LABEL 0 NAP 1 REDEEMER 7 LIBERATOR 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/442 ________________________________________________________________________ relig16 RELIGION IN WHICH RAISED In what religion were you raised? VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER (SPECIFY) 6 BUDDHISM 7 HINDUISM 8 OTHER EASTERN 9 MOSLEM/ISLAM 10 ORTHODOX-CHRISTIAN 11 CHRISTIAN 12 NATIVE AMERICAN 13 INTER-NONDENOMINATIONAL 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/443-444 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 149 denom16 DENOMINATION IN WHICH R WAS RAISED IF PROTESTANT: What specific denomination is that, if any? VALUE LABEL 0 NAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN US 42 OTHER PRESBYTERIAN 43 PRESBYTERIAN, MERGED 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/445-446 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 150 oth16 OTHER PROTESTANT DENOMINATIONS Q. 115, Col. 451, punch 5 (Other, SPECIFY), is available from NORC. Q. 115A, Col. 452-453 punch 60 (N = 4156), recoded into Cols. 454-456 [OTH16]. If planning to perform trend analysis with this variable, please consult GSS Methodological Report No. 56. See Appendix K: Protestant Denominations. See Appendix N for changes across surveys. If planning to perform trend analysis with this variable, please consult Methodological Report No. 56. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/447-449 ________________________________________________________________________ jew16 WHAT SORT OF JEW R WAS AT AGE 16 IF JEWISH: Were you Orthodox, Conservative, Reform, or none of these? VALUE LABEL 0 NAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/450 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 151 fund16 HOW FUNDAMENTALIST WAS R AT AGE 16 Fundamentalism/Liberalism of Religion Respondent Raised In VALUE LABEL 0 NAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/451 ________________________________________________________________________ sprel SPOUSES RELIGIOUS PREFERENCE What is your (SPOUSE'S) religious preference? Is it Protestant, Catholic, Jewish, some other religion, or no religion? VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/452 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 152 spden SPECIFIC DENOMINATION, SPOUSE IF PROTESTANT: What specific denomination is that, if any? VALUE LABEL 0 NAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN US 42 OTHER PRESBYTERIAN 43 PRESBYTERIAN, MERGED 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/453-454 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 153 spother OTHER PROTESTANT DENOMINATIONS Q. 116, Col. 459, punch 5 (Other, SPECIFY), is available from NORC. Q. 116A, Cols. 460-461, punch 60 (N = 2388), recoded into Cols. 462-464 [SPOTHER]. If planning to perform trend analysis with this variable, please consult GSS Methodological Report No. 56. See Appendix K: Protestant Denominations. See Appendix N for changes across surveys. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/455-457 ________________________________________________________________________ spjew WHAT SORT OF JEW IS RS SPOUSE CURRENTLY IF JEWISH: Does (s/he) consider (her/himself) Orthodox, Conservative, Reform or none of these? VALUE LABEL 0 NAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/458 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 154 spfund HOW FUNDAMENTALIST IS SPOUSE CURRENTLY Fundamentalism/Liberalism of Religion of Spouse VALUE LABEL 0 NAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/459 ________________________________________________________________________ sprel16 RELIGION IN WHICH SPOUSE RAISED In what religion was your (husband/wife) raised? VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/460 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 155 spden16 DENOMINATION IN WHICH SPOUSE RAISED IF PROTESTANT: What specific denomination is that, if any? VALUE LABEL 0 NAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELIC LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYTERIAN, MERGED 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/461-462 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 156 spoth16 OTHER PROTESTANT DENOMINATIONS Q. 117, Col. 467, punch 5 (Other, SPECIFY), is available from NORC. Q. 117A, Cols. 468-469 punch 60 (N = 2065), recoded into Cols. 470-472 [SPOTH16]. If planning to perform trend analysis with this variable, please consult GSS Methodological Report No. 56. See Appendix K: Protestant denominations. See Appendix N for changes across surveys. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/463-465 ________________________________________________________________________ spjew16 WHAT SORT OF JEW WAS RS SPOUSE AT 16 IF JEWISH: What (s/he) Orthodox, Conservative, Reform or none of these? VALUE LABEL 0 NAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/466 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 157 spfund16 HOW FUNDAMENTALIST WAS SPOUSE AT 16 Fundamentalism/Liberalism of Religion Spouse Raised In VALUE LABEL 0 NAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/467 ________________________________________________________________________ tithing HOW MUCH DOES R GIVE TO RELIGION About how much do you contribute to your religion every year (not including school tuition)? VALUE LABEL -1 NAP 99995 TITHES, AMT. NOT GIVEN 99996 99996 OR MORE 99997 REFUSED 99998 DK 99999 NA Data type: numeric Missing-data codes: -1,99998,99999 Record/columns: 1/468-472 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 158 prayer BIBLE PRAYER IN PUBLIC SCHOOLS The United States Supreme Court has ruled that no state or local government may require the reading of the Lord's prayer or Bible verses in public schools. What are your views on this--do you approve or disapprove of the court ruling? VALUE LABEL 0 NAP 1 APPROVE 2 DISAPPROVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/473 ________________________________________________________________________ prayery BIBLE PRAYER IN SCHOOLS-VERSION Y What are your views on the reading of the Lord's Prayer or Bible verses in public schools? do you think it should be required in all public schools, not allowed in any public schools, or that it should be up to each state or local community to decide? VALUE LABEL 0 NAP 1 REQUIRED 2 FORBIDDEN 3 LOCAL DECISION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/474 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 159 prayerx BIBLE PRAYER IN SCHOOLS -- VERSION Z Which of these statements comes closest to your feelings about prayers in the public schools? The Lord's prayer or some Bible verse should be read daily. There should be a moment for silent prayer or meditation daily. No prayer or other religious observances should be held in the public schools. Other (SPECIFY). VALUE LABEL 0 NAP 1 PRAYER READ DAILY 2 SILENT MEDITATION 3 NO PRAYERS 4 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/475 ________________________________________________________________________ bible FEELINGS ABOUT THE BIBLE Which of these statements comes closest to describing your feelings about the Bible? a. The Bible is the actual word of God and is to be taken literally. b. The Bible is the inspired word of God but not everything in it should be taken literally, word for word. c. The Bible is an ancient book of fables, legends, history, and moral precepts recorded by men. VALUE LABEL 0 NAP 1 WORD OF GOD 2 INSPIRED WORD 3 BOOK OF FABLES 4 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/476 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 160 bibley FEELINGS ABOUT THE BIBLE -- VERSION Z Here are four statements about the Bible, and I'd like you to tell me which is closest to your own view. a. The Bible is God's Word and all it says is true. b. The Bible was written by men inspired by god, but it contains some human errors. c. The Bible is a good book because it was written by wise men, but God had nothing to do with it. d. The Bible was written by men who lived so long ago that it is worth very little today. VALUE LABEL 0 NAP 1 WORLD IS EVIL 7 WORLD IS GOOD 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/477 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 161 world1 WORLD IMAGE: MUCH EVIL VS. MUCH GOOD People have different images of the world and human nature. We'd like to know the kinds of images you have. Here is a card with sets of contrasting images. On a scale of 1-7 where would you place your image of the world and human nature between the two contrasting images? Look at the first set of contrasting images. If you think that "The world is basically filled with evil and sin," you would place yourself at 1. If you think "There is much goodness in the world which hints at God's goodness" you would place yourself at 7. If you think things are somewhere between these two you would place yourself at 2, 3, 4, 5, or 6. Where would you place your image of the world on the scale for: "The world is basically filled with evil and sin" vs. "There is much goodness in the world which hints at God's goodness." VALUE LABEL 0 NAP 1 WORLD IS EVIL 7 WORLD IS GOOD 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/478 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 162 world2 WORLD IMAGE: THE GOOD MUST ACT VS. NOT Where would you place your image of the world on the scale for: "The good person must be deeply involved in the problems and activities of the world" vs. "The good person must avoid contamination by the corruption of the world." VALUE LABEL 0 NAP 1 THE GOOD MUST ACT 7 GOOD MUST BEWARE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/479 ________________________________________________________________________ world3 WORLD IMAGE: GOD NOT HERE VS. HERE Where would you place your image of the world on the scale for: "God is almost totally removed from the sinfulness of the world" vs. "God reveals Himself in and through the world." VALUE LABEL 0 NAP 1 GOD NOT HERE 7 GOD IS HERE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/480 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 163 world4 WORLD IMAGE: MAN IS GOOD VS. CORRUPT Where would you place your image of the world on the scale for: "Human nature is basically good" vs. "Human nature is fundamentally perverse and corrupt." VALUE LABEL 0 NAP 1 PEOPLE ARE GOOD 7 PEOPLE ARE EVIL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/481 ________________________________________________________________________ world5 WORLD IMAGE: ARTS ARE GOOD VS. NOT Where would you place your image of the world on the scale for: "Through such things as art and music we learn more about God" vs. "It is dangerous for a human to be too concerned about worldly things like art and music." VALUE LABEL 0 NAP 1 ARTS CAN BE HOLY 7 ARTS CAN BE EVIL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/482 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 164 world6 WORLD IMAGE: CHAOS VS. HARMONY Where would you place your image of the world on the scale for: "The world is a place of strife and disorder" vs. "Harmony and cooperation prevail in the world." VALUE LABEL 0 NAP 1 WORLD IS CHAOTIC 7 WORLD IS HARMONIOUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/483 ________________________________________________________________________ world7 WORLD IMAGE: ACH. REVEALS GOD VS. NOT Where would you place your image of the world on the scale for: "Human achievement helps to reveal God in the world." vs. "Most human activity is vain and foolish." VALUE LABEL 0 NAP 1 ACTION REVEALS GOD 7 MOST ACTS ARE VAIN 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/484 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 165 libtemp FEELING THERMOMETER -- LIBERALS I'd like to get your feelings toward groups that are in the news these days. I will use something we call the feeling thermometer, and here is how it works. I'll read the names of a group and I'd like you to rate that group using the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the group. Ratings between 0 degrees and 50 degrees mean that you don't feel favorable toward the group and that you don't care too much for that group. If we come to a group whose name you don't recognize, you don't need to rate that group. Just tell me and we'll move on to the next one. If you do recognize the name, but you don't feel particularly warm or cold toward the group, you would rate the group at the 50 degree mark. Our first group is liberals. How would you rate this group using the thermometer? VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/485-487 ________________________________________________________________________ contemp FEELING THERMOMETER -- CONSERVATIVES B. Conservatives VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/488-490 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 166 prottemp FEELING THERMOMETER -- PROTESTANTS C. Protestants VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/491-493 ________________________________________________________________________ cathtemp FEELING THERMOMETER -- CATHOLICS D. Catholics VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/494-496 ________________________________________________________________________ jewtemp FEELING THERMOMETER -- JEWS E. Jews VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/497-499 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 167 fepriest R FAVORS WOMEN AS PRIESTS CATHOLIC RESPONDENTS: As I read this statement, will you tell me whether you agree strongly, agree somewhat, disagree somewhat, or disagree strongly? It would be a good thing if women were allowed to be ordained as priests. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/500 ________________________________________________________________________ feclergy R FAVORS WOMEN AS MINISTERS ASK NON-CATHOLICS ONLY: Do you favor or oppose women as pastors, ministers, priests, or rabbis in your own faith or denomination? VALUE LABEL 0 NAP 1 FAVOR 2 OPPOSE 8 NO OPINION 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/501 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 168 relgrade GRADE GIVEN RELIGION Using the school grading system of A,B,C,D, and F for Fail, how do you rate your church or religious group in meeting your spiritual needs? VALUE LABEL 0 NAP 1 A 2 B 3 C 4 D 5 F 6 NO RELIGION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/502 ________________________________________________________________________ racmar FAVOR LAW AGAINST RACIAL INTERMARRIAGE Do you think there should be laws against marriages between (Negroes/Blacks) and whites? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/503 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 169 racmar10 FAVOR LAW AGAINST RAC INTRMAR 10 YRS AGO Now thinking about ten years ago, that is in 1972, did you then think there should be laws against marriages between (Negroes/Blacks) and whites? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/504 ________________________________________________________________________ racdin OBJECT TO OPP. RACE HOME FOR DINNER How strongly would you object if a member of your family wanted to bring a (Negro/Black) friend home to dinner? Would you object strongly, mildly, or not at all? VALUE LABEL 0 NAP 1 STRONGLY OBJECT 2 MILDLY OBJECT 3 NOT OBJECT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/505 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 170 racpush BLACKS SHOULDNT PUSH Here are some opinions other people have expressed in connection with (Negro/Black)-white relations. Which statement on the card domes closest to how you, yourself, feel? A. (Negroes/Blacks) shouldn't push themselves where they're not wanted. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE SLIGHTLY 3 DISAGREE SLIGHTLY 4 DISAGREE STRONGLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/506 ________________________________________________________________________ racseg WHITES HAVE RIGHT TO SEG. NEIGHBORHOOD White people have a right to keep (Negroes/Blacks) out of their neighborhoods if they want to, and (Negroes/Blacks) should respect that right. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE SLIGHTLY 3 DISAGREE SLIGHTLY 4 DISAGREE STRONGLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/507 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 171 racopen VOTE ON OPEN HOUSING LAW Suppose there is a community-wide vote on the general housing issue. There are two possible laws to vote on. Which law would you vote for? A. One law says that a homeowner can decide for himself whom to sell his house to, even if he prefers not to sell to (Negroes/Blacks). B. The second law says that a homeowner cannot refuse to sell to someone because of their race or color. VALUE LABEL 0 NAP 1 OWNER DECIDES 2 CANT DISCRIMINATE 3 NEITHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/508 ________________________________________________________________________ raclive ANY OPP. RACE IN NEIGHBORHOOD Are there any (Negroes/Blacks) living in this neighborhood now? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/509 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 172 racclos ANY OPP. RACE LIVING CLOSE TO R Are there any (Negro/Black) families living close to you? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/510 ________________________________________________________________________ racdis HOW FAR ARE CLOSEST OPP. RACE How many blocks (or miles) away do they (the [Negro/Black] families who live closest to you) live? VALUE LABEL 0 NAP 1 SAME BLOCK 2 1-3 BLKS AWAY 3 4-8 BLKS AWAY 4 OVER 8 BLKS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/511 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 173 racinteg WILL NEIGHBORHOOD BECOME ALL BLACK Do you think this neighborhood will become all (Negro/Black) in the next few years, or will it remain integrated? VALUE LABEL 0 NAP 1 ALL BLACK 2 STAY INTEGRATED 3 MIXED,NOT WH-BL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/512 ________________________________________________________________________ racobjct NEIGHBORHOOD INTEGRATED BY SAME SES Of a Negro with the same income and education as you have, moved into your block, would it make any difference to you? VALUE LABEL 0 NAP 1 YES,WOULD LIKE IT 2 YES,WOULD NOT LIKE 3 NO DIFFERENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/513 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 174 rachome OPP. RACE HOME FOR DINNER RECENTLY During the last few years, has anyone in your family brought a friend who was a (Negro/Black) home for dinner? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/514 ________________________________________________________________________ racschol SHOULD WHITES & BLACKS GO TO SAME SCHOOL Here are a few questions regarding race relations in our country. We'd like your opinion. Do you think white students and (Negro/Black) students should go to the same schools or to separate schools? VALUE LABEL 0 NAP 1 SAME SCHOOLS 2 SEPARATE SCHOOLS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/515 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 175 racfew CHILDREN TO SCHOOL WITH OPPOSITE RACE Would you yourself have any objection to sending your children to a school where a few of the children are [Whites/Negroes/Blacks]? VALUE LABEL 0 NAP 1 YES, OBJECT 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/516 ________________________________________________________________________ rachaf CHILDREN TO SCHOOL HALF OPPOSITE RACE IF NO OR DON'T KNOW: Where half of the children are [White/Negroes/Blacks]? VALUE LABEL 0 NAP 1 YES, OBJECT 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/517 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 176 racmost CHILDREN TO SCHOOL MOSTLY OPPOSITE RACE IF NO OR DON'T KNOW: Where more than half of the children are [White/Negroes/Blacks]? VALUE LABEL 0 NAP 1 YES, OBJECT 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/518 ________________________________________________________________________ busing ATTITUDE TOWARD RACIAL BUSING ASK EVERYONE: In general, do you favor or oppose the busing of (Negro/Black) and white school children from one school district to another? VALUE LABEL 0 NAP 1 FAVOR 2 OPPOSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/519 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 177 busing10 FAVOR BUSING 10 YRS AGO Now, thinking about ten years ago, that is in 1972, did you then favor or oppose the busing of (Negro/Black) and white school children from one school district to another? VALUE LABEL 0 NAP 1 FAVOR 2 OPPOSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/520 ________________________________________________________________________ racpres WOULD VOTE FOR BLACK PRESIDENT If your party nominated a (Negro/Black) for President, would you vote for him if he were qualified for the job? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/521 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 178 racjob EQUAL OPPORTUNITIES ON JOBS Do you think Negroes should have as good a chance as white people to get any kind of job, or do you think white people should have the first chance at any kind of job? VALUE LABEL 0 NAP 1 AS GOOD A CHANCE 2 WHITES FIRST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/522 ________________________________________________________________________ racchurh ATTEND CHURCH WITH OTHER RACE ASK IN TERMS OF OPPOSITE RACE: Do (Blacks/Negroes)/Whites attend the church that you, yourself, attend most often, or not? VALUE LABEL 0 NAP 1 YES 2 NO 3 NO CHURCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,3-* Record/column: 1/523 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 179 color RS SKIN COLOR IF BLACK: Respondent's skin color is... VALUE LABEL 0 NAP 1 VERY DARK BROWN 2 DARK BROWN 3 MEDIUM BROWN 4 LIGHT BROWN 5 VERY LIGHT BROWN 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/524 ________________________________________________________________________ racname PREFERED RACIAL NAME BLACK RESPONDENTS: Which would you most like to be called, "Black," "Negro," "Colored," or "Afro- American," or does it made any difference? VALUE LABEL 0 NAP 1 BLACK 2 NEGRO 3 COLORED 4 AFRO-AMERICAN 8 MAKES NO DIFFERENCE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/525 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 180 rachisch HOW INTEGRATED WAS RS HIGH SCHOOL BLACK RESPONDENTS: Was the high school you attended all black, integrated--but mostly black, or integrated--but mostly white? VALUE LABEL -1 NAP 0 DIDNT GO TO HS 1 ALL BLACK 2 MOSTLY BLACK 3 MOSTLY WHITE 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/526 ________________________________________________________________________ racmix HOW MANY FRIENDS ARE WHITE BLACK RESPONDENTS: How many of your close friends are white? VALUE LABEL 0 NAP 1 NONE 2 ONE OR TWO 3 THREE OR MORE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/527 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 181 racneigh NEIGHBORHOOD R WOULD LIKE TO LIVE IN BLACK RESPONDENTS: If you could find the housing that you would want and like, would you rather live in a neighborhood that is all black; mostly black; half black, half white; or mostly white? VALUE LABEL 0 NAP 1 ALL BLACK 2 MOSTLY BLACK 3 .5 BLACK - .5 WHITE 4 MOSTLY WHITE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/528 ________________________________________________________________________ racnobuy EVER BOYCOTT CERTAIN PRODUCTS BLACK RESPONDENTS: Have you ever stopped buying certain products because of the way the company or country which makes them has treated black people? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/529 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 182 ractrust TRUST WHITE PEOPLE BLACK RESPONDENTS: Do you feel you can trust most white people, some white people, or no white people? VALUE LABEL 0 NAP 1 MOST WHITE PEOPLE 2 SOME WHITE PEOPLE 3 NO WHITE PEOPLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/530 ________________________________________________________________________ racparty WHICH PARTY HELPS BLACKS MORE BLACK RESPONDENTS: Which party, the Republican or the Democratic, do you feel will do more to help blacks in the next few years, or do you think there isn't much difference between the two? VALUE LABEL 0 NAP 1 REPUBLICAN PARTY 2 DEMOCRATIC PARTY 3 NOT MUCH DIFFERENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/531 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 183 racocc EQUALITY IN OCCUPATION BLACK RESPONDENTS: Do you feel that a black person who has the same education and qualifications can get as good a job as a white person? Would you say. VALUE LABEL 0 NAP 1 ALMOST ALWAYS 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/532 ________________________________________________________________________ racinc EQUALITY IN INCOME BLACK RESPONDENTS: If a black person has the same qualifications as a white person, do you feel that he or she can make as much money... VALUE LABEL 0 NAP 1 ALMOST ALWAYS 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/533 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 184 racopnow OPPORTUNITIES IMPROVED IN LAST 5 YRS BLACK RESPONDENTS: Do you think the opportunities for blacks to get ahead have improved in the last five years, remained about the same, or gotten worse? VALUE LABEL 0 NAP 1 IMPROVED 2 REMAINED SAME 3 GOTTEN WORSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/534 ________________________________________________________________________ racopwil OPPORTUNITIES IMPROVE IN NEXT 5 YRS BLACK RESPONDENTS: In the next five years, do you think that opportunities for blacks to get ahead will improve, remain about the same, or get worse? VALUE LABEL 0 NAP 1 IMPROVE 2 REMAIN SAME 3 GET WORSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/535 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 185 racimp IMPORTANCE OF RACE RELATIONS ISSUES TO R BLACK RESPONDENTS: How important is the race relations issue to you--would you say it is one of the most important, important, not very important, or not important at all? VALUE LABEL 0 NAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMP AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/536 ________________________________________________________________________ racinfo HOW MUCH INFO DOES R HAVE ON RACE ISSUES BLACK RESPONDENTS: How much information do you have about the race relations issue. Do you have all the information you need, most of the information, some information, or very little information? VALUE LABEL 0 NAP 1 ALL INFO R NEEDS 2 MOST INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/537 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 186 racfirm HOW FIRM IS RS OPINION ON RACIAL ISSUES BLACK RESPONDENTS: How firm are you about your opinion on race relations--would you say you are very likely to change your opinion, somewhat likely to change, somewhat unlikely to change, or very unlikely to change? VALUE LABEL 0 NAP 1 VERY LIKELY TO CHANG 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY TO CHA 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/538 ________________________________________________________________________ raccare RS CONCERN ABOUT RACIAL ISSUES How concerned are you personally about race relations? Are you very concerned, somewhat concerned, not very concerned, or not concerned at all? VALUE LABEL 0 NAP 1 VERY CONCERNED 2 SOMEWHAT CONCERNED 3 NOT VERY CONCERNED 4 NOT CONCERNED AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/539 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 187 racthink HOW OFT R & FRNDS THINK ABT RACE ISSUES How often would you say that you and your friends think about race relations? Would you say that you and your friends think about race relations very often, fairly often, occasionally, or almost never? VALUE LABEL 0 NAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 OCCASIONALLY 4 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/540 ________________________________________________________________________ racwrite R EVER WRITTEN OFFICIAL ABT RACE ISSUES Have you ever written a letter to a public official expressing your views on race relations? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/541 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 188 racgive HAS R GIVEN MONEY TO RACIAL ORGS Have you ever given money to an organization concerned with this issue? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/542 ________________________________________________________________________ racjoin EVER JOINED ORG WORKING ON RACIAL ISSUES Have you ever joined an organization concerned with race relations? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/543 ________________________________________________________________________ affrmact FAVOR PREFERENCE IN HIRING BLACKS VALUE LABEL 0 NAP 1 STRONGLY SUPPORT PREF 2 SUPPORT PREF 3 OPPOSE PREF 4 STRONGLY OPPOSE PREF 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/544 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 189 wrkwayup BLACKS OVERCOME PREJUDICE WITHOUT FAVORS Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with the following statement (HAND CARD TO RESPONDENT): Irish, Italians, Jewish and many other minorities overcame prejudice and worked their way up. Blacks should do the same without special favors. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE SOMEWHAT 5 DISAGREE STRONGLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/545 ________________________________________________________________________ blksimp HAVE CONDITIONS FOR BLACKS IMPROVED In the past few years, do you think conditions for black people have improved, gotten worse, or stayed about the same? VALUE LABEL 0 NAP 1 IMPROVED 2 GOTTEN WORSE 3 ABOUT THE SAME 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/546 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 190 closeblk HOW CLOSE FEEL TO BLACKS In general, how close do you feel to Blacks? VALUE LABEL 0 NAP 1 NOT AT ALL CLOSE 5 NEITHER ONE OR THE OTHER 9 VERY CLOSE 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/547-548 ________________________________________________________________________ closewht HOW CLOSE FEEL TO WHITES And in general, how close do you feel to Whites? VALUE LABEL 0 NAP 1 NOT AT ALL CLOSE 5 NEITHER ONE OR THE OTHER 9 VERY CLOSE 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/549-550 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 191 alienat1 PEOPLE RUNNING COUNTRY DONT CARE Now I want to read you some things some people have told us they have felt from time to time. Do you tend to feel or not: the people running the country don't really care what happens to you. VALUE LABEL 0 NAP 1 FEEL 2 NOT FEEL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/551 ________________________________________________________________________ alienat2 RICH GET RICHER, POOR POORER Do you tend to feel or not: the rich get richer and the poor get poorer. VALUE LABEL 0 NAP 1 FEEL 2 NOT FEEL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/552 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 192 alienat3 WHAT YOU THINK DOESNT COUNT Do you tend to feel or not: what you think doesn't count very much anymore. VALUE LABEL 0 NAP 1 FEEL 2 NOT FEEL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/553 ________________________________________________________________________ alienat4 YOU'RE LEFT OUT OF THINGS Do you tend to feel or not: you're left out of things going on around you. VALUE LABEL 0 NAP 1 FEEL 2 NOT FEEL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/554 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 193 alienat5 POWERFUL PEOPLE TAKE ADVANTAGE OF YOU Do you tend to feel or not: most people with power try to take advantage of people like yourself. VALUE LABEL 0 NAP 1 FEEL 2 NOT FEEL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/555 ________________________________________________________________________ alienat6 PEOPLE IN WASH D.C. ARE OUT OF TOUCH Do you tend to feel or not: the people in Washington, D.C. are out of touch with the rest of the country. people like yourself. VALUE LABEL 0 NAP 1 FEEL 2 NOT FEEL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/556 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 194 happy GENERAL HAPPINESS Taken all together, how would you say things are these days--would you say that you are very happy, pretty happy, or not too happy? VALUE LABEL 0 NAP 1 VERY HAPPY 2 PRETTY HAPPY 3 NOT TOO HAPPY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/557 ________________________________________________________________________ hapmar HAPPINESS OF MARRIAGE IF CURRENTLY MARRIED: Taking things all together, how would you describe your marriage? Would you say that your marriage is very happy, pretty happy, or not too happy? VALUE LABEL 0 NAP 1 VERY HAPPY 2 PRETTY HAPPY 3 NOT TOO HAPPY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/558 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 195 health CONDITION OF HEALTH Would you say your own health, in general, is excellent, good, fair, or poor? VALUE LABEL 0 NAP 1 EXCELLENT 2 GOOD 3 FAIR 4 POOR 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/559 ________________________________________________________________________ life IS LIFE EXCITING OR DULL In general, do you find life exciting, pretty routine, or dull? VALUE LABEL 0 NAP 1 EXCITING 2 ROUTINE 3 DULL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/560 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 196 helpful PEOPLE HELPFUL OR LOOKING OUT FOR SELVES Would you say that most of the time people try to be helpful, or that they are mostly just looking out for themselves? VALUE LABEL 0 NAP 1 HELPFUL 2 LOOKOUT FOR SELF 3 DEPENDS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/561 ________________________________________________________________________ fair PEOPLE FAIR OR TRY TO TAKE ADVANTAGE Do you think most people would try to take advantage of you if they got a chance, or would they try to be fair? VALUE LABEL 0 NAP 1 TAKE ADVANTAGE 2 FAIR 3 DEPENDS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/562 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 197 trust CAN PEOPLE BE TRUSTED Generally speaking, would you say that most people can be trusted or that you can't be too careful in dealing with people? VALUE LABEL 0 NAP 1 CAN TRUST 2 CANNOT TRUST 3 DEPENDS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/563 ________________________________________________________________________ trusty CAN PEOPLE BE TRUSTED-VERSION Y Do you think most people can be trusted? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/564 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 198 satcity CITY OR PLACE R LIVES IN For each area of life I am going to name, tell me the number that shows how much satisfaction you get from that area: the city or place you live in. VALUE LABEL 0 NAP 1 VERY GREAT DEAL 2 GREAT DEAL 3 QUITE A BIT 4 A FAIR AMOUNT 5 SOME 6 A LITTLE 7 NONE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/565 ________________________________________________________________________ sathobby NON-WORKING ACTIVITIES,HOBBIES For each area of life I am going to name, tell me the number that shows how much satisfaction you get from that area: your non-working activities--hobbies and so on. VALUE LABEL 0 NAP 1 VERY GREAT DEAL 2 GREAT DEAL 3 QUITE A BIT 4 A FAIR AMOUNT 5 SOME 6 A LITTLE 7 NONE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/566 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 199 satfam FAMILY LIFE For each area of life I am going to name, tell me the number that shows how much satisfaction you get from that area: your family life. VALUE LABEL 0 NAP 1 VERY GREAT DEAL 2 GREAT DEAL 3 QUITE A BIT 4 A FAIR AMOUNT 5 SOME 6 A LITTLE 7 NONE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/567 ________________________________________________________________________ satfrnd FRIENDSHIPS For each area of life I am going to name, tell me the number that shows how much satisfaction you get from that area: your friendships. VALUE LABEL 0 NAP 1 VERY GREAT DEAL 2 GREAT DEAL 3 QUITE A BIT 4 A FAIR AMOUNT 5 SOME 6 A LITTLE 7 NONE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/568 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 200 sathealt HEALTH AND PHYSICAL CONDITION For each area of life I am going to name, tell me the number that shows how much satisfaction you get from that area: your health and physical condition. VALUE LABEL 0 NAP 1 VERY GREAT DEAL 2 GREAT DEAL 3 QUITE A BIT 4 A FAIR AMOUNT 5 SOME 6 A LITTLE 7 NONE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/569 ________________________________________________________________________ confinan CONFID IN BANKS & FINANCIAL INSTITUTIONS I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? Banks and financial institutions. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/570 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 201 conbus CONFIDENCE IN MAJOR COMPANIES I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? Major companies. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/571 ________________________________________________________________________ conclerg CONFIDENCE IN ORGANIZED RELIGION I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? Organized religion. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/572 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 202 coneduc CONFIDENCE IN EDUCATION I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? Education. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/573 ________________________________________________________________________ confed CONFID. IN EXEC BRANCH OF FED GOVT I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? Executive branch of the federal government. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/574 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 203 conlabor CONFIDENCE IN ORGANIZED LABOR I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? Organized labor. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/575 ________________________________________________________________________ conpress CONFIDENCE IN PRESS I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? Press. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/576 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 204 conmedic CONFIDENCE IN MEDICINE I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? Medicine. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/577 ________________________________________________________________________ contv CONFIDENCE IN TELEVISION I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? TV. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/578 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 205 conjudge CONFID. IN UNITED STATES SUPREME COURT I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? U.S. Supreme Court. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/579 ________________________________________________________________________ consci CONFIDENCE IN SCIENTIFIC COMMUNITY I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? Scientific Community. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/580 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 206 conlegis CONFIDENCE IN CONGRESS I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? Congress. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/581 ________________________________________________________________________ conarmy CONFIDENCE IN MILITARY I am going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal confidence, only some confidence, or hardly any confidence at all in them? Military. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 ONLY SOME 3 HARDLY ANY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/582 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 207 confinay BANKS & FINANCIAL INSTITUTIONS -- VER Z I am going to name some institutions in this country. Some people have complete confidence in the people running these institutions. Suppose these people are at one end of the scale at point numer 1. Other people have no confidence at all in the people running these institutions. Suppose these people are at the other end, at point 7. And, or course, other people have opinions somewhere in between at point 2, 3, 4, 5, or 6. Where would you place yourself on this scale for: Banks and financial institutions. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/583 ________________________________________________________________________ conbusy MAJOR COMPANIES -- VERSION Z Where would you place yourself on this scale for: Major companies. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/584 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 208 conclery ORGANIZED RELIGION -- VERSION Z Where would you place yourself on this scale for: Organized religion. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/585 ________________________________________________________________________ coneducy EDUCATION -- VERSION Z Where would you place yourself on this scale for: Education. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/586 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 209 confedy EXEC BRANCH FED GOVT -- VERSION Z Where would you place yourself on this scale for: Executive branch of the federal government. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/587 ________________________________________________________________________ conlaboy ORGANIZED LABOR -- VERSION Z Where would you place yourself on this scale for: Organized labor. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/588 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 210 conpresy PRESS -- VERSION Z Where would you place yourself on this scale for: Press. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/589 ________________________________________________________________________ conmediy MEDICINE -- VERSION Z Where would you place yourself on this scale for: Medicine. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/590 ________________________________________________________________________ contvy TELEVISION -- VERSION Z Where would you place yourself on this scale for: TV. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/591 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 211 conjudgy UNITED STATES SUPREME COURT -- VERSION Z Where would you place yourself on this scale for: United States Supreme Court. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/592 ________________________________________________________________________ consciy SCIENTIFIC COMMUNITY -- VERSION Z Where would you place yourself on this scale for: Scientific community. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/593 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 212 conlegiy CONGRESS -- VERSION Z Where would you place yourself on this scale for: Congress. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/594 ________________________________________________________________________ conarmyy MILITARY -- VERISON Z Where would you place yourself on this scale for: Military. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 7 NO CONFIDENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/595 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 213 manners GOOD MANNERS Now to a different subject. Which three qualities listed on this card would you say are the most desirable for a child to have? Which one of these three is the most desirable of all? All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? And which one of these three is least important of all? That he has good manners. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/596 ________________________________________________________________________ success TRIES HARD TO SUCCEED That he tries hard to succeed. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/597 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 214 honest HONEST That he is honest. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/598 ________________________________________________________________________ clean NEAT AND CLEAN That he is neat and clean. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/599 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 215 judgment GOOD SENSE AND SOUND JUDGMENT That he has good sense and sound judgement. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/600 ________________________________________________________________________ control SELF-CONTROL That he has self-control. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/601 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 216 role ACTS LIKE BOY-ACTS LIKE GIRL That he acts like a boy (she acts like a girl). VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/602 ________________________________________________________________________ amicable GETS ALONG WELL WITH OTHER CHILDREN That he gets along well with other children. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/603 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 217 obeys OBEYS PARENTS WELL That he obeys his parents well. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/604 ________________________________________________________________________ responsi RESPONSIBLE That he is responsible. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/605 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 218 consider CONSIDERATE OF OTHERS That he is considerate of others. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/606 ________________________________________________________________________ interest INTERESTED HOW AND WHY THINGS HAPPEN That he is interested in how and why things happen. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/607 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 219 studious GOOD STUDENT That he is a good student. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/608 ________________________________________________________________________ mannersy GOOD MANNERS-VERSION Y Now to a different subject. Which three qualities listed on this card would you say are the most desirable for a child to have? Which one of these three is the most desirable of all? All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? And which one of these three is least important of all? That a child has good manners. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/609 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 220 successy TRIES HARD TO SUCCEED-VERSION Y That a child tries hard to succeed. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/610 ________________________________________________________________________ honesty HONEST-VERSION Y That a child tries hard to succeed. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/611 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 221 cleany NEAT AND CLEAN-VERSION Y That a child is honest. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/612 ________________________________________________________________________ judgmeny GOOD SENSE, SOUND JUDGMENT-VERSION Y That a child has good sense and sound judgement. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/613 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 222 controly SELF-CONTROL-VERSION Y That a child has self-control. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/614 ________________________________________________________________________ roley ACTS LIKE BOY-ACTS LIKE GIRL-VERSION Y That he acts like a boy or she acts like a girl. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/615 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 223 amicably GETS ALONG WITH OTHER CHILDREN-VERSION Y That a child gets along with other children. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/616 ________________________________________________________________________ obeysy OBEYS PARENTS WELL-VERSION Y That a child obeys his or her parents well. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/617 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 224 responsy RESPONSIBLE-VERSION Y That a child is responsible. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/618 ________________________________________________________________________ considey CONSIDERATE OF OTHERS-VERSION Y That a child is considerate of others. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/619 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 225 interesy INTERESTED HOW THINGS HAPPEN-VERSION Y That a child is interested in how and why things happen. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/620 ________________________________________________________________________ studiouy GOOD STUDENT-VERSION Y That a child is a good student. VALUE LABEL 0 NAP 1 1 MOST DESIRABLE 2 3 MOST DESIRABLE 3 NOT MENTIONED 4 3 LEAST DESIRABLE 5 1 LEAST DESIRABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/621 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 226 mannersz GOOD MANNERS-VERSION Z Please look at the qualities listed on this card. All of the qualities may be desirable for a child to have, but could you tell me whether the quality is extremely important, very important, fairly important, not too important, or not at all important. That he has good manners. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/622 ________________________________________________________________________ successz TRIES HARD TO SUCCEED-VERSION Z That he tries hard to succeed. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/623 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 227 honestz HONEST-VERSION Z That he is honest. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/624 ________________________________________________________________________ cleanz NEAT AND CLEAN-VERSION Z That he is neat and clean. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/625 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 228 judgmenz GOOD SENSE, SOUND JUDGMENT-VERSION Z That he has good sense and sound judgement. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/626 ________________________________________________________________________ controlz SELF-CONTROL-VERSION Z That he has self-control. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/627 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 229 rolez ACTS LIKE BOY-ACTS LIKE GIRL-VERSION Z That he acts like a boy (she acts like a girl). VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/628 ________________________________________________________________________ amicablz GETS ALONG WITH OTHER CHILDREN-VERSION Z That he gets along well with other children. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/629 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 230 obeysz OBEYS PARENTS WELL-VERSION Z That he obeys his parents well. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/630 ________________________________________________________________________ responsz RESPONSIBLE-VERSION Z That he is responsible. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/631 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 231 considez CONSIDERATE OF OTHERS-VERSION Z That he is considerate of others. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/632 ________________________________________________________________________ interesz INTERESTED HOW THINGS HAPPEN-VERSION Z That he is interested in how and why things happen. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/633 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 232 studiouz GOOD STUDENT-VERSION Z That he is a good student. VALUE LABEL 0 NAP 1 EXTREMELY IMPT 2 VERY IMPT 3 FAIRLY IMPT 4 NOT TOO IMPT 5 NOT AT ALL IMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/634 ________________________________________________________________________ obey TO OBEY If you had to choose, which thing on this list would you pick as the most important for a child to learn to prepare him or her for life? Which comes next in importance? Which comes third? Which comes fourth? A. To obey. VALUE LABEL 0 NAP 1 MOST IMPORTANT 2 2ND IMPORTANT 3 3RD IMPORTANT 4 4TH IMPORTANT 5 LEAST IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/635 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 233 popular TO BE WELL LIKED OR POPULAR If you had to choose, which thing on this list would you pick as the most important for a child to learn to prepare him or her for life? Which comes next in importance? Which comes third? Which comes fourth? B. To be well-liked or popular. VALUE LABEL 0 NAP 1 MOST IMPORTANT 2 2ND IMPORTANT 3 3RD IMPORTANT 4 4TH IMPORTANT 5 LEAST IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/636 ________________________________________________________________________ thnkself TO THINK FOR ONES SELF If you had to choose, which thing on this list would you pick as the most important for a child to learn to prepare him or her for life? Which comes next in importance? Which comes third? Which comes fourth? C. To think for himself or herself. VALUE LABEL 0 NAP 1 MOST IMPORTANT 2 2ND IMPORTANT 3 3RD IMPORTANT 4 4TH IMPORTANT 5 LEAST IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/637 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 234 workhard TO WORK HARD If you had to choose, which thing on this list would you pick as the most important for a child to learn to prepare him or her for life? Which comes next in importance? Which comes third? Which comes fourth? D. To work hard. VALUE LABEL 0 NAP 1 MOST IMPORTANT 2 2ND IMPORTANT 3 3RD IMPORTANT 4 4TH IMPORTANT 5 LEAST IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/638 ________________________________________________________________________ helpoth TO HELP OTHERS If you had to choose, which thing on this list would you pick as the most important for a child to learn to prepare him or her for life? Which comes next in importance? Which comes third? Which comes fourth? E. To help others when they need help. VALUE LABEL 0 NAP 1 MOST IMPORTANT 2 2ND IMPORTANT 3 3RD IMPORTANT 4 4TH IMPORTANT 5 LEAST IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/639 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 235 chldsex QUALITIES FOR BOYS OR GIRLS When you rated the importance of various qualities for children, were you thinking mostly about boys, mostly about girls, or about both boys and girls equally? VALUE LABEL 0 NAP 1 MOSTLY BOYS 2 MOSTLY GIRLS 3 BOTH EQUALLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/640 ________________________________________________________________________ chldsex1 QUALITIES FOR BOYS OR GIRLS -- VARIANT When you rated the importance of various qualities for children, were you thinking mostly about boys or mostly about girls? VALUE LABEL 0 NAP 1 MOSTLY BOYS 2 MOSTLY GIRLS 3 BOTH EQUALLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/641 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 236 youngen WHAT SHOULD YOUNGER GENERATION BE TAUGHT Here are two statements. Will you tell me which one you agree with more? A. First, the younger generation whould be taught by their elders to do what is right. B. Second, the younger generation whould be taught to think for themselves even though they may do something their elders disapprove of. VALUE LABEL 0 NAP 1 WHAT ELDERS THINK 2 THINK FOR SELVES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/642 ________________________________________________________________________ socrel SPEND EVENING WITH RELATIVES Would you use this card and tell me which answer comes closest to how often you do the following things? A. Spend a social evening with relatives? VALUE LABEL -1 NAP 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/643 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 237 socommun SPEND EVENING WITH NEIGHBOR B. Spend a social evening with someone who lives in your neighborhood? VALUE LABEL -1 NAP 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/644 ________________________________________________________________________ socfrend SPEND EVENING WITH FRIENDS C. Spend a social evening with friends who live outside the neighborhood? VALUE LABEL -1 NAP 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/645 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 238 socbar SPEND EVENING AT BAR D. Go to a bar or tavern. VALUE LABEL -1 NAP 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/646 ________________________________________________________________________ socpars SPEND EVENING WITH PARENTS E. Spend a social evening with your parents? VALUE LABEL -1 NAP 0 NO SUCH PEOPLE 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/647 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 239 socsibs SPEND EVENING WITH SIBLINGS F. Spend a social evening with a brother or sister? VALUE LABEL -1 NAP 0 NO SUCH PEOPLE 1 ALMOST DAILY 2 SEV TIMES A WEEK 3 SEV TIMES A MNTH 4 ONCE A MONTH 5 SEV TIMES A YEAR 6 ONCE A YEAR 7 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/648 ________________________________________________________________________ aged SHOULD AGED LIVE WITH THEIR CHILDREN As you know, many older people share a home with their grown children. Do you think this is generally a good idea or a bad idea? VALUE LABEL 0 NAP 1 A GOOD IDEA 2 A BAD IDEA 3 DEPENDS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/649 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 240 drink EVER DRINK ALCOHOLIC BEVERAGES? Do you ever have occasion to use any alcoholic beverages such as liquor, wine, or beer, or are you a total abstainer? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/650 ________________________________________________________________________ drunk EVER DRINK TOO MUCH? Do you sometimes drink more than you think you should? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/651 ________________________________________________________________________ smoke DOES R SMOKE Do you smoke? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/652 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 241 quitsmk EVER TRIED TO QUIT SMOKING IF YES: Have you ever tried to give up smoking? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/653 ________________________________________________________________________ smokecig DOES R SMOKE CIGARETTES Do you smoke cigarettes? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/654 ________________________________________________________________________ cigweek HAS R SMOKED CIGARETTES IN LAST WEEK IF YES: Have you, yourself, smoked any cigarettes in the past week? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/655 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 242 evsmoke HAS R EVER SMOKED IF NO: Have you ever smoked regularly? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/656 ________________________________________________________________________ anomia1 NEXT TO HEALTH, MONEY IS MOST IMPORTANT Now I'm going to read you several more statements. Some people agree with a statement, others disagree. As I read each one, tell me whether you more or less agree with it, or more or less disagree. A. Next to health, money is the most important thing in life. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/657 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 243 anomia2 WONDER IF ANYTHING IS WORTHWHILE B. You somethimes can't help wondering whether anything is worthwhile any more. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/658 ________________________________________________________________________ anomia3 NO RIGHT & WRONG WAYS TO MAKE MONEY C. To make money, there are no right and wrong ways any more, only easy and hard ways. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/659 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 244 anomia4 LIVE ONLY FOR TODAY Now I'd like your opinions on a number of different things. Nowadays, a person has to live pretty much for today and let tomorrow take care of itself. Do you more or less agree with that, or more or less disagree? VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/660 ________________________________________________________________________ anomia5 LOT OF THE AVERAGE MAN GETTING WORSE In spite of what some people say, the lot (situation/condition) of the average man is getting worse, not better. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/661 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 245 anomia6 NOT FAIR TO BRING CHILD INTO WORLD It's hardly fair to bring a child into the world with the way things look for the future. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/662 ________________________________________________________________________ anomia7 OFFICIALS NOT INTERESTED IN AVERAGE MAN Now I'm going to read you several more statements. Most public officials (people in public office) are not really interested in the problems of the average man. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/663 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 246 anomia8 DONT KNOW WHOM TO TRUST These days a person doesn't really know whom he can count on. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/664 ________________________________________________________________________ anomia9 MOST DONT CARE WHAT HAPPENS TO OTHERS Most people don't really care what happens to the next fellow. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/665 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 247 joblose IS R LIKELY TO LOSE JOB IF R HAS A JOB: Thinking about the next 12 months, how likely do you think it is that you will lose your job or be laid off--very liekly, fairly likely, not too likely, or not at all likely? VALUE LABEL 0 NAP 1 VERY LIKELY 2 FAIRLY LIKELY 3 NOT TOO LIKELY 4 NOT LIKELY 5 LEAVING LABOR FORCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/666 ________________________________________________________________________ jobfind COULD R FIND EQUALLY GOOD JOB IF R HAS A JOB: About how easy would it be for you to find a job with another employer with approximately the same income and fringe benefits you now have? Would you say very easy, somewhat easy, or not easy at all? VALUE LABEL 0 NAP 1 VERY EASY 2 SOMEWHAT EASY 3 NOT EASY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/667 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 248 satjob JOB OR HOUSEWORK IF CURRENTLY WORKING, TEMPORARILY NOT AT WORK, OR KEEPING HOUSE: On the whole, how satisfied are you with the work you do--would you say you are very satisfied, moderately satisfied, a little dissatisfied, or very dissatisfied? VALUE LABEL 0 NAP 1 VERY SATISFIED 2 MOD. SATISFIED 3 A LITTLE DISSAT 4 VERY DISSATISFIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/668 ________________________________________________________________________ richwork IF RICH, CONTINUE OR STOP WORKING IF CURRENTLY WORKING OR TEMPORARILY NOT AT WORK: If you were to get enough money to live as comfortably as you would like for the rest of your life, would you continue to work or would you stop working? VALUE LABEL 0 NAP 1 CONTINUE WORKING 2 STOP WORKING 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/669 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 249 jobinc HIGH INCOME Would you please look at this card and tell me which one thing on this list you would most prefer in a job? Which comes next? Which is third most important? Which if fourth most important? A. High income. VALUE LABEL 0 NAP 1 MOST IMPT 2 SECOND 3 THIRD 4 FOURTH 5 FIFTH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/670 ________________________________________________________________________ jobsec NO DANGER OF BEING FIRED B. No danger of being fired. VALUE LABEL 0 NAP 1 MOST IMPT 2 SECOND 3 THIRD 4 FOURTH 5 FIFTH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/671 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 250 jobhour SHORT WORKING HOURS C. Working hours are short, lots of free time. VALUE LABEL 0 NAP 1 MOST IMPT 2 SECOND 3 THIRD 4 FOURTH 5 FIFTH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/672 ________________________________________________________________________ jobpromo CHANCES FOR ADVANCEMENT D. Chances for advancement. VALUE LABEL 0 NAP 1 MOST IMPT 2 SECOND 3 THIRD 4 FOURTH 5 FIFTH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/673 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 251 jobmeans WORK IMPORTANT AND FEEL ACCOMPLISHMENT E. Work important and gives a feeling of accomplishment. VALUE LABEL 0 NAP 1 MOST IMPT 2 SECOND 3 THIRD 4 FOURTH 5 FIFTH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/674 ________________________________________________________________________ jobkeep JOB SECURITY On these cards there are various aspects of jobs. How important do you personally consider these job characteristics? Using the scale from one to seven for your answers again, tell me for each card its letter and the number you've decided on. A. Job security. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/675 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 252 jobpay HIGH INCOME B. High income. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/676 ________________________________________________________________________ jobrise OPPORTUNITY FOR ADVANCEMENT C. Good opportunities for advancement. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/677 ________________________________________________________________________ jobhonor OCCUPATION IS RECOGNIZED AND RESPECTED D. An occupation that is recognized and respected. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/678 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 253 joboff LEAVES TIME FOR LEISURE E. An occupation that leaves one a lot of leisure time. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/679 ________________________________________________________________________ jobinter INTERESTING WORK F. An interesting job. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/680 ________________________________________________________________________ jobindep ALLOWS ONE TO WORK INDEPENDENTLY G. A job that allows one to work independently. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/681 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 254 jobresp RESPONSIBLE JOB TASKS H. Responsible job tasks. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/682 ________________________________________________________________________ jobpeop CONTACT WITH OTHER PEOPLE I. A lot of contact with other people. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/683 ________________________________________________________________________ jobhelp CAN HELP OTHERS J. An occupation in which one can help others. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/684 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 255 jobsoc USEFUL TO SOCIETY K. A job that is useful to society. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/685 ________________________________________________________________________ jobaccmp DOING SOMETHING MEANINGFUL L. Gives a feeling of doing something meaningful. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/686 ________________________________________________________________________ jobsafe SAFE CONDITIONS M. Safe and healthful working conditions. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/687 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 256 class SUBJECTIVE CLASS IDENTIFICATION If you were asked to use one of four names for your social class, which would you say you belong in: the lower class, the working class, the middle class, or the upper class? VALUE LABEL 0 NAP 1 LOWER CLASS 2 WORKING CLASS 3 MIDDLE CLASS 4 UPPER CLASS 5 NO CLASS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/688 ________________________________________________________________________ classy SUBJECTIVE SOCIAL CLASS-VERSION Y If you were asked to use one of five names for your social class, which would you say you belong in: the lower class, the working class, the middle class, the upper middle class, or the upper class? VALUE LABEL 0 NAP 1 LOWER CLASS 2 WORKING CLASS 3 MIDDLE CLASS 4 UPPER MIDDLE CLASS 5 UPPER CLASS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/689 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 257 rank RS SELF RANKING OF SOCIAL POSITION In our society there are groups which tend to be towards the top and those that are towards the bottom. here we have a scale that runs from top to bottom. Where would you put yourself on this scale? VALUE LABEL 0 NAP 1 TOP 10 BOTTOM 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/690-691 ________________________________________________________________________ satfin SATISFACTION WITH FINANCIAL SITUATION We are interested in how people are getting along financially these days. So far as you and your family are concerned, would you say that you are pretty well satisfied with you present financial situation, more or less satisfied, no not satisfied at all? VALUE LABEL 1 SATISFIED 2 MORE OR LESS 3 NOT AT ALL SAT. 8 DK 9 NA Data type: numeric Missing-data codes: 8,9 Record/column: 1/692 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 258 finalter CHANGE IN FINANCIAL SITUATION During the last few years, has your financial situation been getting better, worse, or has it stayed the same? VALUE LABEL 1 BETTER 2 WORSE 3 STAYED SAME 8 DK 9 NA Data type: numeric Missing-data codes: 8,9 Record/column: 1/693 ________________________________________________________________________ finrela OPINION OF FAMILY INCOME Compared with American families in general, would you say your family income is far below average, below average, average, above average, or far above average? VALUE LABEL 1 FAR BELOW AVERAGE 2 BELOW AVERAGE 3 AVERAGE 4 ABOVE AVERAGE 5 FAR ABOVE AVERAGE 8 DK 9 NA Data type: numeric Missing-data codes: 8,9 Record/column: 1/694 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 259 incneed INCOME FAMILY NEEDS Living where you do now and meeting the expenses you consider necesary, what would be the very smallest amount of income per month--after taxes--your household would need to make ends meet? VALUE LABEL -1 NAP 999997 DEPENDS 999998 DK 999999 NA Data type: numeric Missing-data codes: -1,999998,999999 Record/columns: 1/695-699 ________________________________________________________________________ mininc MINIMUM AMOUNT OF INCOME NEEDED PER WEEK What is the smallest amount of money a family of four (husband, wife, and two children) needs each week to get along in this community? VALUE LABEL -1 NAP 997 $997+ PER WEEK 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/700-702 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 260 wksub DOES R OR SPOUSE HAVE SUPERVISOR Do you (does your [SPOUSE]) have a supervisor on (your/his/her) job to whom you are (he/she is) directly responsible? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/703 ________________________________________________________________________ wksubs DOES SUPERVISOR HAVE SUPERVISOR IF YES: Does that person have a supervisor on the job to whom he is directly responsible? VALUE LABEL 0 NAP 3 YES 4 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/704 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 261 wksup DOES R OR SPOUSE SUPERVISE ANYONE In your (SPOUSE'S) job, (do you/does he/she) supervise anyone who is directly responsible to (you/him/her)? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/705 ________________________________________________________________________ wksups DOES SUBORDINATE SUPERVISE ANYONE IF YES: Do any of those persons supervise anyone else? VALUE LABEL 0 NAP 3 YES 4 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/706 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 262 unemp EVER UNEMPLOYED IN LAST TEN YRS At any time during the last ten years, have you been unemployed and looking for work for as long as a month? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/707 ________________________________________________________________________ govaid EVER RECEIVE WELFARE, UNEMP INSUR, ETC. Did you ever--because of sickness, unemployment, or any other reason--receive anything like welfare, unemployment insurance, or other aid from government agencies? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/708 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 263 getaid EVER RECEIVED WELFARE? Have you personally ever received income from Aid to Families with Dependent Children (AFDC), General Assistance, Supplemental Security Income, or Food Stamps? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/709 ________________________________________________________________________ union DOES R OR SPOUSE BELONG TO UNION Do you (or your [SPOUSE]) belong to a labor union? (Who?) VALUE LABEL 0 NAP 1 R BELONGS 2 SPOUSE BELONGS 3 R AND SPOUSE BELONG 4 NEITHER BELONGS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/710 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 264 getahead OPINION OF HOW PEOPLE GET AHEAD Some people say that people get ahead by their own hard work; others say that lucky breaks or help from other people are more important. Which do you think is most important? VALUE LABEL 0 NAP 1 HARD WORK 2 BOTH EQUALLY 3 LUCK OR HELP 4 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/711 ________________________________________________________________________ parsol RS LIVING STANDARD COMPARED TO PARENTS A. Compared to your paretns when they were the age you are now, do you think your own standard of living now is much better, somewhat better, about the same, somewhat worse, or much worse than theirs was? VALUE LABEL 0 NAP 1 MUCH BETTER 2 SOMEWHAT BETTER 3 ABOUT THE SAME 4 SOMEWHAT WORSE 5 MUCH WORSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/712 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 265 kidssol RS KIDS LIVING STANDARD COMPARED TO R B. When your children are at the age you are now, do you think their standard of living will be much better, somewhat better, about the same, somewhat worse, or much worse than yours is now? VALUE LABEL 0 NAP 1 MUCH BETTER 2 SOMEWHAT BETTER 3 ABOUT THE SAME 4 SOMEWHAT WORSE 5 MUCH WORSE 6 NO CHILDREN -VOLUNTEERED- 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/713 ________________________________________________________________________ fehome WOMEN TAKE CARE OF HOME NOT COUNTRY Do you agree or disagree with this statement? Women should take care of running their homes and leave running the country up to men. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 NOT SURE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/714 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 266 fework SHOULD WOMEN WORK Do you approve or disapprove of a married woman earning money in business or industry if she has a husband capable of supporting her? VALUE LABEL 0 NAP 1 APPROVE 2 DISAPPROVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/715 ________________________________________________________________________ fepres VOTE FOR WOMAN PRESIDENT If your party nominated a woman for President, would you vote for her if she were qualified for the job? VALUE LABEL 0 NAP 1 YES 2 NO 5 WOULDNT VOTE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/716 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 267 fepol WOMEN NOT SUITED FOR POLITICS Tell me if you agree or disagree with this statement: Most men are better suited emotionally for politics than are most women. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 NOT SURE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/717 ________________________________________________________________________ fepoly MEN OR WOMEN BETTER SUITED FOR POLITICS Would you say that most men are better suited emotionally for politics than are most women, that men and women are equally suited, or that women are better suited than men in this area? VALUE LABEL 0 NAP 1 MEN 2 EQUAL 3 WOMEN 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/718 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 268 feimp IMPORTANCE OF WOMENS RIGHTS ISSUE TO R How important is the women's rights issue to you--would you say it is one of the most important, important, not very important, or not important at all? VALUE LABEL 0 NAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMP AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/719 ________________________________________________________________________ feinfo HOW MUCH INFO R HAS ON WOMENS RGTS How much information do you have about the women's rights issue? Do you have all of the information you need, most of the information, some information, or very little information? VALUE LABEL 0 NAP 1 ALL INFO R NEEDS 2 MOST INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/720 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 269 fefirm HOW FIRM IS RS OPINION ON WOMENS RGHTS How firm are you about your opinion on women's rights-- would you say you are very likely to change your opinion, somewhat likely to change, somewhat unlikely to change, or very unlikely to change? VALUE LABEL 0 NAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/721 ________________________________________________________________________ fecare RS CONCERN ABOUT WOMENS RIGHTS How concerned are you personally about women's rights? Are you very concerned somewhat concerned, not very concerned, or not concerned at all? VALUE LABEL 0 NAP 1 VERY CONCERNED 2 SOMEWHAT CONCERNED 3 NOT VERY CONCERNED 4 NOT CONCERNED AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/722 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 270 fethink HOW OFT R & FRNDS THINK ABT WOMENS RGTS How often would you say that you and your friends think about women's rights? Would you say that you and your friends think about women's rights very often, fairly often, occasinally, or almost never? VALUE LABEL 0 NAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 OCCASIONALLY 4 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/723 ________________________________________________________________________ fewrite R EVER WRITTEN OFFICIAL ABT WOMENS RGTS Have you ever written a letter to a public official expressing your views on women's rights? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/724 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 271 fegive HAS R GIVEN MONEY TO WOMENS RIGHTS ORGS Have you ever given money to an organization concerned with this issue? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/725 ________________________________________________________________________ fejoin EVER JOINED ORG WORKING ON WOMENS RGTS Have you ever joined an organization concerned with women's rights? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/726 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 272 abdefect STRONG CHANCE OF SERIOUS DEFECT Please tell me whether or not you think it should be possible for a pregnant woman to obtain a legal abortion if: there is a strong chance of a serious defect in the baby? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/727 ________________________________________________________________________ abnomore MARRIED--WANTS NO MORE CHILDREN Please tell me whether or not you think it should be possible for a pregnant woman to obtain a legal abortion if: she is married and dies not want any more children? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/728 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 273 abhlth WOMANS HEALTH SERIOUSLY ENDANGERED Please tell me whether or not you think it should be possible for a pregnant woman to obtain a legal abortion if: the woman's own health is seriously endangered by the pregnancy? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/729 ________________________________________________________________________ abpoor LOW INCOME--CANT AFFORD MORE CHILDREN Please tell me whether or not you think it should be possible for a pregnant woman to obtain a legal abortion if: the family has a very low income and cannot afford any more children? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/730 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 274 abrape PREGNANT AS RESULT OF RAPE Please tell me whether or not you think it should be possible for a pregnant woman to obtain a legal abortion if: she became pregnant as a result of rape? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/731 ________________________________________________________________________ absingle NOT MARRIED Please tell me whether or not you think it should be possible for a pregnant woman to obtain a legal abortion if: she is not married and does not want to marry the man? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/732 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 275 abany ABORTION IF WOMAN WANTS FOR ANY REASON Please tell me whether or not you think it should be possible for a pregnant woman to obtain a legal abortion if: the woman wants it for any reason? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/733 ________________________________________________________________________ aborct HEARD SUPREME COURT DECISION ON ABORTION Have you heard or read of the recent Supreme Court decision concerning abortion? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/734 ________________________________________________________________________ abpro1 1ST ARGUMENT FOR ABORTION As far as you've heard what are the main arguments in favor of abortions? First reason. VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/735-736 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 276 abpro2 2ND ARGUMENT FOR ABORTION As far as you've heard what are the main arguments in favor of abortions? Second reason. VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/737-738 ________________________________________________________________________ abpro3 3RD ARGUMENT FOR ABORTION As far as you've heard what are the main arguments in favor of abortions? Third reason. VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/739-740 ________________________________________________________________________ abcon1 1ST ARGUMENT AGAINST ABORTION And, as far as you've heard, what are the main arguments against abortion? First reason. VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/741-742 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 277 abcon2 2ND ARGUMENT AGAINST ABORTION And, as far as you've heard, what are the main arguments against abortion? Second reason. VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/743-744 ________________________________________________________________________ abcon3 3RD ARGUMENT AGAINST ABORTION And, as far as you've heard, what are the main arguments against abortion? Third reason. VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/745-746 ________________________________________________________________________ abimp IMPORTANCE OF ABORTION ISSUE TO R How important is the abortion issue to you--would you say it is one of the most important, important, not very important, or not important at all? VALUE LABEL 0 NAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMP AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/747 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 278 abinfo HOW MUCH INFO DOES R HAVE ON ABORTION How much information do you have about the abortion issue? Do you have all the information you need, most of the information, some information, or very little information? VALUE LABEL 0 NAP 1 ALL INFO R NEEDS 2 MOST INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/748 ________________________________________________________________________ abfirm HOW FIRM IS RS OPINION ON ABORTION How firm are you about your opinion on abortion--would you say you are very likely to change your opinion, somewhat likely to change, somewhat unlikely to change or very unlikely to change? VALUE LABEL 0 NAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/749 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 279 abcare HOW CONCERNED IS R ABOUT ABORTION How concerned are you personally about the abortion issue? Are you very concerned, somewhat concerned, not very concerned, or not concerned at all? VALUE LABEL 0 NAP 1 VERY CONCERNED 2 SOMEWHAT CONCERNED 3 NOT VERY CONCERNED 4 NOT CONCERNED AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/750 ________________________________________________________________________ chldidel IDEAL NUMBER OF CHILDREN What do you think is the ideal number of children for a family to have? VALUE LABEL -1 NAP 7 SEVEN+ 8 AS MANY AS WANT 9 DK,NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/751 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 280 chldmore EXPECT MORE CHILDREN Do you expect to have any (more) children? VALUE LABEL 0 NAP 1 YES 2 NO 3 UNCERTAIN 4 INAPPROPRIATE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/752 ________________________________________________________________________ chldnum HOW MANY CHILDREN EXPECTED How many more? VALUE LABEL 0 NAP 8 8 OR MORE 9 DK,NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/753 ________________________________________________________________________ chldsoon CHILDREN EXPECTED IN 5 YEARS How many (more) in the next five years? VALUE LABEL -1 NAP 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/754 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 281 pill BIRTH CONTROL INFORMATION In some places in the United States, it is not legal to supply birth control information. How do you feel about this--do you think birth control information should be available to anyone who wants it, or not? VALUE LABEL 0 NAP 1 AVAILABLE 2 NOT AVAILABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/755 ________________________________________________________________________ teenpill BIRTH CONTROL INFORMATION TO TEENS Do you think birth control information should be available to teenagers who want it, or not? VALUE LABEL 0 NAP 1 AVAILABLE 2 NOT AVAILABLE 3 DEPENDS ON AGE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/756 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 282 pillok BIRTH CONTROL TO TEENAGERS 14-16 Do you strongly agree, agree, disagree, or strongly disagree that methods of birth control should be available to teenagers between the ages of 14 and 16 if their parents do not approve? VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/757 ________________________________________________________________________ sexeduc SEX EDUCATION IN PUBLIC SCHOOLS Would you be for or against sex education in the public schools? VALUE LABEL 0 NAP 1 FAVOR 2 OPPOSE 3 DEPENDS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/758 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 283 divlaw DIVORCE LAWS Should divorce in this country be easier or more difficult to obtain than it is now? VALUE LABEL 0 NAP 1 EASIER 2 MORE DIFFICULT 3 STAY SAME 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/759 ________________________________________________________________________ divlawy DIVORCE LAWS-VERSION Y Should divorce in this country be easier to obtain, more difficult to obtain, or stay as it is now? VALUE LABEL 0 NAP 1 EASIER 2 MORE DIFFICULT 3 STAY SAME 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/760 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 284 spdue EVER ENTITLED TO ALIMONY OR CHLD SUPPORT IF DIVORCED, SEPARATED IN Q.4 OR Q. 4B WAS ANSWERED YES: Are you currently or have you ever been entitled to alimony or child support payments from a former (husband/wife)? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/761 ________________________________________________________________________ sppaid REGULARLY RECEIVED ALIMONY - CHLD SUPPRT During the time you were entitled to alimony or child support, did you receive these payments on a regular basis, occasionally, or not at all? VALUE LABEL 0 NAP 1 REGULAR BASIS 2 OCCASIONALLY 3 NOT AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/762 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 285 premarsx SEX BEFORE MARRIAGE There's been a lot of discussion about the way morals and attitudes aobut sex are changing in this country. If a man and woman have sex relations before marriage, do you think it is always wrong, almost always wrong, wrong, wrong only sometimes, or not wrong at all? VALUE LABEL 0 NAP 1 ALWAYS WRONG 2 ALMST ALWAYS WRG 3 SOMETIMES WRONG 4 NOT WRONG AT ALL 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/763 ________________________________________________________________________ teensex SEX BEFORE MARRIAGE -- TEENS 14-16 What if they are in their early teens, say 14 to 16 years old? In that case, do you think sex relations before marriage are always wrong, almost always wrong, wrong only sometimes, or not wrong at all? VALUE LABEL 0 NAP 1 ALWAYS WRONG 2 ALMST ALWAYS WRG 3 SOMETIMES WRONG 4 NOT WRONG AT ALL 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/764 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 286 xmarsex SEX WITH PERSON OTHER THAN SPOUSE What is your opinion about a married person having sexual relations with someone other than the marriage partner--is it always wrong, almost always wrong, wrong only sometimes, or not wrong at all? VALUE LABEL 0 NAP 1 ALWAYS WRONG 2 ALMST ALWAYS WRG 3 SOMETIMES WRONG 4 NOT WRONG AT ALL 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/765 ________________________________________________________________________ homosex HOMOSEXUAL SEX RELATIONS What about sexual relations between two adults of the same sex--do you think it is always wrong, almost always wrong, wrong only sometimes, or not wrong at all? VALUE LABEL 0 NAP 1 ALWAYS WRONG 2 ALMST ALWAYS WRG 3 SOMETIMES WRONG 4 NOT WRONG AT ALL 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/766 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 287 homochng HOMOSEXUALITY: INHERENT OR CHOICE? Do you think being homosexual is something people choose to be, or do you think it is something they cannot change? VALUE LABEL 0 NAP 1 SOMETHING PEOPLE CHOOSE TO BE 2 SOMETHING THEY CANNOT CHANGE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/767 ________________________________________________________________________ porninf MATERIALS PROVIDE INFO ABOUT SEX The next questions are about pornography--books, movies, magazines, and photographs that show or describe sex activities. I'm going to read some opinions about the effects of looking at or reading such sexual materials. As I read each one, please tell me if you think sexual materials do or do not have that effect. A. Sexual materials provide information about sex. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/768 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 288 pornmorl MATERIALS LEAD TO BREAKDOWN IN MORALS B. Sexual materials lead to breakdown of morals. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/769 ________________________________________________________________________ pornrape MATERIALS LEAD TO RAPE C. Sexual materials lead people to commit rape. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/770 ________________________________________________________________________ pornout MATERIALS PROVIDE OUTLET D. Sexual materials provide an outlet for bottled-up impulses. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/771 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 289 pornlaw FEELINGS ABOUT PORNOGRAPHY LAWS Which of these statements comes closest to your feelings about pornography laws? VALUE LABEL 0 NAP 1 ILLEGAL TO ALL 2 ILLEGAL UNDER 18 3 LEGAL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/772 ________________________________________________________________________ xmovie SEEN X-RATED MOVIE IN LAST YEAR Have you seen an X-rated movie in the last year? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/773 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 290 xmovie1 SEEN PORN FILM (THEATER OR VCR) LAST YR B. Have you seen an X-rated movie either in a movie theater or on a VCR (Video Cassette Recorder) in the last year? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/774 ________________________________________________________________________ pornimp IMPORTANCE OF PORNOGRAPHY ISSUE TO R How important is the pornography issue to you--would you say it is one of the most important, important, not very important, or not important at all? VALUE LABEL 0 NAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMP AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/775 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 291 porninfo HOW MUCH INFO DOES R HAVE ON PORN ISSUE How much information do you have about the pornography issue--do you have all of the information you need, most of the information, some of the information, or very little information? VALUE LABEL 0 NAP 1 ALL INFO R NEEDS 2 MOST INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/776 ________________________________________________________________________ pornfirm HOW FIRM IS RS OPINION ON PORN ISSUE How firm are you about (your opinion on the way you feel about) pornography--would you say you are very likely to change (your opinion), somewhat likely to change, somewhat unlikely to change, or very unlikely to change your opinion? VALUE LABEL 0 NAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/777 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 292 spanking FAVOR SPANKING TO DISCIPLINE CHILD Do you strongly agree, agree, disagree, or strongly disagree that it is sometimes necessary to discipline a child with a good, hard spanking? VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/778 ________________________________________________________________________ letdie1 ALLOW INCURABLE PATIENTS TO DIE When a person has a disease that cannot be cured, do you think doctors should be allowed by law to end the patient's life by some painless means if the patient and his family request it? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/779 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 293 letdie2 LET PATIENTS DIE IF DOCTORS AGREE Would you approve of ending a patient's life if a board of doctors appointed by the court agreed that the patient could not be cured? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/780 ________________________________________________________________________ suicide1 SUICIDE IF INCURABLE DISEASE Do you think a person has the right to end his or her own life if this person has an incurable disease? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/781 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 294 suicide2 SUICIDE IF BANKRUPT Do you think a person has the right to end his or her own life if this person has gone bankrupt? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/782 ________________________________________________________________________ suicide3 SUICIDE IF DISHONORED FAMILY Do you think a person has the right to end his or her own life if this person has dishonored his or her family? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/783 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 295 suicide4 SUICIDE IF TIRED OF LIVING Do you think a person has the right to end his or her own life if this person is tired of living and ready to die? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/784 ________________________________________________________________________ strike PICKETING FOR LABOR STRIKE Have you ever taken part in picketing for a labor strike? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/785 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 296 civright CIVIL RIGHTS DEMONSTRATION Have you ever taken part in a civil rights demonstration? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/786 ________________________________________________________________________ antiwar ANTI-WAR DEMONSTRATION Have you ever taken part in an anti-war demonstration? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/787 ________________________________________________________________________ prowar PRO-WAR DEMONSTRATION Have you ever taken part in a pro-war demonstration? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/788 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 297 school SCHOOL RELATED DEMONSTRATION Have you ever taken part in a school related demonstration? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/789 ________________________________________________________________________ hit EVER PUNCHED OR BEATEN BY ANOTHER PERSON Have you ever been punched or beaten by another person? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/790 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 298 hitage BEATEN AS CHILD OR ADULT IF YES: Did this happen to you as a child or as an adult? VALUE LABEL 0 NAP 1 CHILD 2 ADULT 3 BOTH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/791 ________________________________________________________________________ hitnum IF BEATEN--HOW MANY TIMES How many times would you guess this has happened to you? VALUE LABEL 0 NAP 1 ONCE 2 2-3 TIMES 3 4+ TIMES 8 NOT SURE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/792 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 299 gun EVER THREATENED WITH GUN OR SHOT AT Have you ever been threatened with a gun, or shot at? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/793 ________________________________________________________________________ gunage THREATENED OR SHOT AT AS CHILD OR ADULT IF YES: Did this happen to you as a child or as an adult? VALUE LABEL 0 NAP 1 CHILD 2 ADULT 3 BOTH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/794 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 300 gunnum IF THREATENED OR SHOT AT--HOW MANY TIMES How many times would you guess this has happened to you? VALUE LABEL 0 NAP 1 ONCE 2 2-3 TIMES 3 4+ TIMES 8 NOT SURE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/795 ________________________________________________________________________ hitok EVER APPROVE OF MAN PUNCHING ADULT MALE Are there any situations that you can imagine in which you would approve of a man punching an adult male stranger? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/796 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 301 hitmarch STRANGER IN PROTEST MARCH IF YES OR NOT SURE: Would you approve if the stranger was in a protest march showing opposition to the other man's views? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/797 ________________________________________________________________________ hitdrunk DRUNK BUMPED INTO MAN & WIFE IF YES OR NOT SURE: Would you approve if the stranger was drunk and bumped into the man and his wife on the street? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/798 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 302 hitchild STRANGER HAD HIT MANS CHILD Would you approve of a man punching a stranger who had hit the man's child after the child accidentally damaged the stranger's car? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/799 ________________________________________________________________________ hitbeatr STRANGER WAS BEATING UP A WOMAN Would you approve of a man punching a stranger who was beating up a woman and the man saw it? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/800 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 303 hitrobbr STRANGER HAD BROKEN INTO MANS HOUSE Would you approve of a man punching a stranger who had broken into the man's house? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/801 ________________________________________________________________________ polhitok EVER APPROVE OF POLICE STRIKING CITIZEN Are there any situations you can imagine in which you would approve of a policeman striking an adult male citizen? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/802 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 304 polabuse CITIZEN SAID VULGAR OR OBSCENE THINGS IF YES OR NOT SURE: Would you approve of a policeman striking a citizen who had said vulgar and obscene things to the policeman? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/803 ________________________________________________________________________ polmurdr CITIZEN QUESTIONED AS MURDER SUSPECT IF YES OR NOT SURE: Would you approve of a policeman striking a citizen who was being questioned as a suspect in a murder case? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/804 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 305 polescap CITIZEN ATTEMPTING TO ESCAPE CUSTODY IF YES OR NOT SURE: Would you approve of a policeman striking a citizen who was trying to escape from custody? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/805 ________________________________________________________________________ polattak CITIZEN ATTACKING POLICEMAN WITH FISTS IF YES OR NOT SURE: Would you approve of a policeman striking a citizen who was attacking the policeman with his fists? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/806 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 306 fear AFRAID TO WALK AT NIGHT IN NEIGHBORHOOD Is there any area right around here--that is, within a mile--where you would be afraid to walk alone? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/807 ________________________________________________________________________ fearhome DOES R FEEL SAFE AND SECURE AT HOME How about at home at night--do you feel safe and secure, or not? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/808 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 307 burglr HOME BROKEN INTO DURING THE LAST YEAR During the last year--that is, between last March and now--did anyone break into or somehow illegally get into your (apartment/home)? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/809 ________________________________________________________________________ robbry FORCEFULLY ROBBED DURING THE LAST YEAR During the last year, did anyone take something directly from you by using force--such as a stickup, mugging, or threat? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/810 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 308 owngun HAVE GUN IN HOME Do you happen to have in your home (IF HOUSE: or garage) any guns or revolvers? VALUE LABEL 0 NAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/811 ________________________________________________________________________ pistol PISTOL OR REVOLVER IN HOME IF YES: Is it a pistol, shotgun, rifle, or what? VALUE LABEL 0 NAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/812 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 309 shotgun SHOTGUN IN HOME IF YES: Is it a pistol, shotgun, rifle, or what? VALUE LABEL 0 NAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/813 ________________________________________________________________________ rifle RIFLE IN HOME IF YES: Is it a pistol, shotgun, rifle, or what? VALUE LABEL 0 NAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/814 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 310 rowngun DOES GUN BELONG TO R Do any of these guns personally belong to you? VALUE LABEL 0 NAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/815 ________________________________________________________________________ ticket EVER RECEIVED A TRAFFIC TICKET Have you ever received a ticket, or been charged by the police, for a traffic violation--other than for illegal parking? VALUE LABEL 0 NAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/816 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 311 arrest EVER PICKED UP OR CHARGED BY POLICE Were you ever picked up, or charged, by the police, for any (other) reason whether or not you were guilty? VALUE LABEL 0 NAP 1 YES 2 NO 3 REFUSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/817 ________________________________________________________________________ hunt DOES R OR SPOUSE HUNT Do you (or does your [husband/wife]) go hunting? VALUE LABEL 0 NAP 1 RESP 2 SPOUSE 3 BOTH 4 NEITHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/818 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 312 huntothr DOES OTHER HOUSEHOLD MEMBER HUNT Does any other member of this household go hunting? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/819 ________________________________________________________________________ news HOW OFTEN DOES R READ NEWSPAPER How often do you read the newspaper--every day, a few times a week, once a week, less than once a week, or never? VALUE LABEL 0 NAP 1 EVERYDAY 2 FEW TIMES A WEEK 3 ONCE A WEEK 4 LESS THAN ONCE WK 5 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/820 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 313 tvhours HOURS PER DAY WATCHING TV On the average day, about how many hours do you personally watch television? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/821-822 ________________________________________________________________________ radiohrs HOURS PER DAY LISTENING TO RADIO Do you ever listen to the radio? IF YES: On the average, about how many hours a day do you usually listen to the radio? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/823-824 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 314 phone DOES R HAVE TELEPHONE Thank you very much for your time and help. Do you have a telephone? May I have your name and (one of your) telephone number(s) just in case I have left something out in this interview? VALUE LABEL 0 NAP 1 NO PHONE 2 REFUSED 3 PHONE IN HOME 4 PHONE ELSEWHERE 5 PHONE,DK WHERE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/825 ________________________________________________________________________ coop2 RS ATTITUDE TOWARD INTERVIEW In general, what was the respondent's attitude toward the interview? VALUE LABEL 0 NAP 1 FRIENDLY AND EAGER 2 COOPERATIVE 3 INDIFFERENT 4 HOSTILE 8 DK 9 NA Data type: numeric Missing-data codes: 8,9,0 Record/column: 1/826 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 315 coop RS ATTITUDE TOWARD INTERVIEW In general, what was the respondent's attitude toward the interview? VALUE LABEL 0 NAP 1 FRIENDLY,INTERESTED 2 COOPERATIVE 3 RESTLESS,IMPATIENT 4 HOSTILE 8 DK 9 NA Data type: numeric Missing-data codes: 8,9,0 Record/column: 1/827 ________________________________________________________________________ comprend RS UNDERSTANDING OF QUESTIONS Was respondent's understanding of the questions... VALUE LABEL 1 GOOD 2 FAIR 3 POOR 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/828 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 316 form FORM OF SPLIT QUESTIONNAIRE ASKED A split ballot was used in the 1973, 1974, 1976, 1978, 1980, and 1982-1993 surveys. The variant or "Y" wordings appear on Form 2; the "Z" wordings appear on Form 3; and the standard GSS wordings appear on Form 1. See Appendix P for what variables were on what form. See Q. 729 for use of weight variable. See Appendix S, GSS Methodological Report No. 36. VALUE LABEL 0 NO SPLIT QUES 1 STANDARD <X> 2 ALTERNATE <Y> 3 ALTERNATE <Z> Data type: numeric Missing-data code: 0 Record/column: 1/829 ________________________________________________________________________ abspno ABORTION IF HUSBAND OPPOSES If a woman has decided to have an abortion but her husband is against it, do you think she should go ahead and have it, or not? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/830 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 317 abhave1 HAVE ABORTION IF PROBABLE DEFECT (WOMEN): Would you yourself have an abortion if there is a strong chance of serious defect in the baby? (MEN): Would you yourself advise the woman you were married to have an abortion if there is a strong chance of serious defect in the baby? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/831 ________________________________________________________________________ abhave2 HAVE ABORTION IF HEALTH ENDANGERED (WOMEN): Would you yourself have an abortion if your health was seriously endangered by the pregnancy? (MEN): Would you yourself advise the woman you were married to have an abortion if her health was seriously endangered by the pregnancy? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/832 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 318 abhave3 HAVE ABORTION IF COULDNT AFFORD CHILD (WOMEN): Would you yourself have an abortion if you did not think you could afford another child? (MEN) Would you yourself advise the woman you were married to have an abortion if you did not think you could afford another child? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/833 ________________________________________________________________________ ablegal SHOULD ABORTION EVER BE LEGAL Do you think abortions should be legal under any circumstances, legal only under certain circumstances, or never legal under any circumstances? VALUE LABEL 0 NAP 1 ALWAYS 2 SOMETIMES 3 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/834 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 319 fechld MOTHER WORKING DOESNT HURT CHILDREN Now I'm going to read several more statements. As I read each one, please tell me whether you strongly agree, agree, disagree, or strongly disagree with it. For example, here is the statement: A. A working mother can establish just as warm and secure a relationship with her children as a mother who does not work. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/835 ________________________________________________________________________ fehelp WIFE SHOULD HELP HUSBANDS CAREER FIRST B. It is more important for a wife to help her husband's career than to have one herself. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/836 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 320 fepresch PRESCHOOL KIDS SUFFER IF MOTHER WORKS C. A preschool child is likely to suffer if his or her mother works. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/837 ________________________________________________________________________ fefam BETTER FOR MAN TO WORK, WOMAN TEND HOME D. It is much better for everyone involved if the man is the achiever outside the home and the woman takes care of the home and family. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/838 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 321 eraread HAS R HEARD OR READ ABOUT ERA Have you heard or read about the Equal Rights Amendment? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/839 ________________________________________________________________________ erameans DOES R UNDERSTAND WHAT ERA MEANS IF YES: Do you understand what the Equal Rights Amendment means? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/840 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 322 era DOES R FAVOR OR OPPOSE ERA? Do you strongly favor, somewhat favor, somewhat oppose, or strongly oppose this amendment? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 OPPOSE 4 STRONGLY OPPOSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/841 ________________________________________________________________________ eratell DOES R FAVOR OR OPPOSE ERA IF NO OR DK TO 253: The Equal Rights Amendment will amend the United States Constitution to provide equal rights for men and women. Do you strongly favor, somewhat favor, somewhat oppose, or strongly oppose this amendment? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 SOMEWHAT FAVOR 3 SOMEWHT OPPOSE 4 STRONGLY OPPOSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/842 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 323 erawhy1 1ST REASON FAVOR-OPPOSE ERA Why do you (favor/oppose) the Equal Rights Amendment? IF "no opinion" to Q. 253 PROBE: Why is that - why do you have no opinion on the Equal Rights Amendment? A. First reason. VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/843-844 ________________________________________________________________________ erawhy2 2ND REASON FAVOR-OPPOSE ERA B. Second reason. VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/845-846 ________________________________________________________________________ erawhy3 3RD REASON FAVOR-OPPOSE ERA C. Third reason. VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/847-848 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 324 eraimp IMPORTANCE OF ERA ISSUE How important is the Equal Rights Amendment issue to you--would you say it is one of the most important, important, not very important, or not important at all? VALUE LABEL 0 NAP 1 ONE OF MOST IMP 2 IMPORTANT 3 NOT VERY IMP 4 NOT IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/849 ________________________________________________________________________ erainfo HOW MUCH INFO DOES R HAVE ABOUT ERA How much information do you have about the Equal Rights Amendment? Do you have all the information you need, most of the information, some information, or very little information? VALUE LABEL 0 NAP 1 ALL INFO R NEEDS 2 MOST OF THE INFO 3 SOME INFO 4 VERY LITTLE INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/850 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 325 erafirm HOW FIRM IS RS OPINION ON ERA How firm are you about (your opinion on/the way you feel about) the Equal Rights Amendment--would you say you are very likely to change (your opinion), somewhat likely to change, somewhat unlikely to change or very unlikely to change your opinion? VALUE LABEL 0 NAP 1 CHANGE VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 CHANGE VERY UNLIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/851 ________________________________________________________________________ febear CAN WIFE REFUSE TO HAVE CHILDREN If the husband in a family wants children, but the wife decides that she does not want any children, is it all right for the wife to refuse to have children? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/852 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 326 feworkif MARRIED WOMEN WORK IF JOBS LIMITED If there is a limited number of jobs, do you approve or disapprove of a married woman holding a job in business or industry when her husband is able to support her? VALUE LABEL 0 NAP 1 APPROVE 2 DISAPPROVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/853 ________________________________________________________________________ racsubs FAVOR ATTEMPTS TO INTEGRATE SUBURBS Some religious and business groups have set up programs to encourage (Negro/Black) people to buy houses in white suburbs. Do you favor or oppose these voluntary programs to integrate white suburbs? VALUE LABEL 0 NAP 1 FAVOR 2 OPPOSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/854 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 327 racsubgv SUBURBAN GOVTS ENCOURAGE INTEGRATION What about the city government in white suburbs? Do you think they should encourage (Negro/Black) people to buy homes in the suburbs, should they discourage them, or should they leave it to private efforts? VALUE LABEL 0 NAP 1 ENCOURAGE 2 DISCOURAGE 3 LEAVE ALONE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/855 ________________________________________________________________________ racmarel WHAT IF RELATIVE MARRIED OTHER RACE How would it make you feel if a close relative of yours were planning to marry a [(Negro/Black/Wite]? Would you be very uneasy, somewhat uneasy, or not uneasy at all? VALUE LABEL 0 NAP 1 VERY UNEASY 2 SOMEWHAT UNEASY 3 NOT UNEASY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/856 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 328 racmarpr EXPECT PROBS IN INTERRACIAL MARRIAGE Please tell me whether you agree or disagree with the following statements: A. You can expect special problems with marriages between (Negroes/Blacks) and Whites. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/857 ________________________________________________________________________ racsups EXPECT PROBS IF BLACKS SUPERVISE WHITES B. You can expect special problems with (Negro/Black) supervisors getting along with workers that are mostly White. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/858 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 329 racteach DONT HIRE TEACHERS AGAINST INTEGRATION C. A school board should not hire a person to teach if that person belongs to an organization that opposes school integration. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/859 ________________________________________________________________________ racavoid AVOID DRIVING THRU BLACK NEIGHBORHOOD If you were driving through the neighborhoods in a city, would you go out of your way to avoid going through a (Negro/Black) section? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/860 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 330 racchng TRY TO INTEGRATE SOCIAL CLUB If you and your friends belonged to a social club that would not let [Whites/Negroes/Blacks] join, would you try to change the rules so that [Whites/Negroes/Blacks] could join? VALUE LABEL 0 NAP 1 YES 2 NO 3 WDNT BELONG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/861 ________________________________________________________________________ racquit QUIT IF COULDNT INTEGRATE CLUB IF YES: If you could not get the rules changed, do you think you would resign from the club, even if your friends didn't? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/862 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 331 racdif1 DIFFERENCES DUE TO DISCRIMINATION On the average (Negroes/Blacks) have worse jobs, income, and housing than white people. Do you think these differences are: A. Mainly due to discrimination? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/863 ________________________________________________________________________ racdif2 DIFFERENCES DUE TO INBORN DISABILITY B. Because most (Negroes/Blacks) have less in-born ability to learn? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/864 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 332 racdif3 DIFFERENCES DUE TO LACK OF EDUCATION C. Because most (Negroes/Blacks) don't have the chance for education that it takes to rise out of poverty? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/865 ________________________________________________________________________ racdif4 DIFFERENCES DUE TO LACK OF WILL D. Because most (Negroes/Blacks) just don't have the motivation or will power to pull themselves up out of poverty? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/866 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 333 salfergt SALIENCE, WOMENS RIGHTS How often would you say that you and your friends think about topics we've been discussing during the interview? Would you say that you and your friends think about women's rights very often, sometimes, or almost never? VALUE LABEL 0 NAP 1 VERY OFTEN 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/867 ________________________________________________________________________ sallabor SALIENCE, LABOR LEADERS Would you say that you and your friends think about the people running organized labor very often, sometimes, or almost never? VALUE LABEL 0 NAP 1 VERY OFTEN 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/868 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 334 salsatfn SALIENCE, FINANCIAL SATISFACTION Would you say that you and your friends think about satisfaction with their present financial situation very often, sometimes, or almost never? VALUE LABEL 0 NAP 1 VERY OFTEN 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/869 ________________________________________________________________________ salabort SALIENCE, ABORTION LAWS Would you say that you and your friends think about laws about abortion very often, sometimes, or almost never? VALUE LABEL 0 NAP 1 VERY OFTEN 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/870 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 335 salsci SALIENCE, SCIENTIFIC COMMUNITY Would you say that you and your friends think about the scientific community very often, sometimes, or almost never? VALUE LABEL 0 NAP 1 VERY OFTEN 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/871 ________________________________________________________________________ divorce5 DIVORCED IN LAST 5 YRS Divorces during the last five years. VALUE LABEL -1 NAP 0 NONE 1 PRIOR 4 YEARS 2 LAST YEAR 3 BOTH 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/872 ________________________________________________________________________ divrel1 RELATIVES DIVORCED IN LAST YEAR Number of relatives divorced last year. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/column: 1/873 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 336 divrel4 RELATIVES DIVORCED BETWEEN 5 & 1 YRS AGO Number of relatives divorced during previous four years. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/column: 1/874 ________________________________________________________________________ unemp5 UNEMPLOYED IN LAST 5 YRS Unemployment during last five years. VALUE LABEL -1 NAP 0 NO 1 4 PRIOR YRS 2 4 PRIOR YRS, EARNER 3 LAST YR 4 BOTH,NOT EARNER 5 BOTH,EARNER PRIOR 4 6 LAST YR, EARNER 7 BOTH,EARNER LAST YR 8 BOTH,EARNER BOTH 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/875 ________________________________________________________________________ unrel1 RELATIVES UNEMPLOYED IN LAST YR Number of relatives unemployed during last year. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/column: 1/876 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 337 unrel4 RELATIVES UNEMP BETWEEN 5 & 1 YRS AGO Number of relatives unemployed during previous four years. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/column: 1/877 ________________________________________________________________________ hosdis5 HOSPITALIZED, DISABLED LAST 5 YRS Hospitalization and disability during last five years. VALUE LABEL -1 NAP 0 NONE 1 PRIOR 4 YEARS 2 LAST YEAR 3 BOTH 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/878 ________________________________________________________________________ hosrel1 RELS HOSPITALIZED IN LAST YEAR Number of relatives hospitalized/disabled last year. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/column: 1/879 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 338 hosrel4 RELS HOSPITALIZED BETW 5 & 1 YRS AGO Number of relatives hospitalized/disabled during previous four years. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/column: 1/880 ________________________________________________________________________ death5 RELATIVES DIED IN LAST 5 YRS Death of relatives during the last five years. VALUE LABEL -1 NAP 0 NONE 1 1 IN PRIOR 4 YRS 2 2+ IN PRIOR 4 YRS 3 1 LAST YR 4 1 LAST,1 IN PRIOR 4 5 1 IN LAST,2+ PRIOR 4 6 2+ LAST YR 7 2+ LAST, 1 PRIOR 4 8 2+ LAST, 2+ PRIOR 4 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/881 ________________________________________________________________________ death16 RELATIVES DIED SINCE AGE 16 Number of relatives dying since respondent 16 years old and prior to the last five years. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/column: 1/882 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 339 padeath DEATH OF FATHER Death of respondent's father. VALUE LABEL -1 NAP 0 NO DEATH REPORTED 1 DIED BEFORE R 16 2 DIED 6+ YRS AGO 3 DIED 1-5 YRS AGO 4 DIED LAST YEAR 8 CANT TELL 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/883 ________________________________________________________________________ madeath DEATH OF MOTHER Death of respondent's mother. VALUE LABEL -1 NAP 0 NO DEATH REPORTED 1 DIED BEFORE R 16 2 DIED 6+ YRS AGO 3 DIED 1-5 YRS AGO 4 DIED LAST YEAR 8 CANT TELL 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/884 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 340 chlddth DEATH OF CHILD Death of child or child's spouse. VALUE LABEL -1 NAP 0 NO DEATH REPORTED 1 DIED 6+ YRS AGO 2 DIED 1-5 YRS AGO 3 DIED LAST YEAR 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/885 ________________________________________________________________________ sibdeath DEATH OF SIBLING Death of sibling or sibling-in-law. VALUE LABEL -1 NAP 0 NO DEATH REPORTED 1 DIED 6+ YRS AGO 2 DIED 1-5 YRS AGO 3 DIED LAST YEAR 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/886 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 341 spdeath DEATH OF SPOUSE Death of spouse. VALUE LABEL -1 NAP 0 NO DEATH REPORTED 1 DIED 6+ YRS AGO 2 DIED 1-5 YRS AGO 3 DIED LAST YEAR 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/887 ________________________________________________________________________ trauma1 TRAUMA SCALE, LAST YEAR Number of traumatic events (deaths, divorces, unemployments, and hospitalizations-disabilities) happening to respondent last year. VALUE LABEL -1 NAP 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/888 ________________________________________________________________________ trauma5 TRAUMA SCALE, LAST 5 YEARS Number of traumatic events (deaths, divorces, unemployments, and hospitalizations-disabilities) happening to respondent last five years. VALUE LABEL -1 NAP 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/889 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 342 trarel1 TRAUMA OF RELATIVES, LAST YEAR Number of traumatic events (divorces, unemployments, and hospitalizations/disabilities) happening to respondent's relatives last year. VALUE LABEL -1 NAP 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/890 ________________________________________________________________________ trarel5 TRAUMA OF RELATIVES, LAST 5 YRS Number of traumatic events (divorces, unemployments, and hospitalizations/disabilities) happening to respondent's relatives during last five years. VALUE LABEL -1 NAP 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/891 ________________________________________________________________________ tratot1 TRAUMA LAST YEAR, SELF & RELATIVES Total number of traumatic events happening to respondent and relatives last year. VALUE LABEL -1 NAP 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/892 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 343 tratot5 TRAUMA LAST 5 YRS, SELF & RELATIVES Total number of traumatic events happening to respondent and relatives during last five years. VALUE LABEL -1 NAP 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/893 ________________________________________________________________________ defspdr DEFENSE SPENDING--RS POSITION Some people believe that we should spend much less money for defense. Suppose these people are at one end of the scale at point number 1. Others feel that defense spending should be greatly increased. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between at points 2, 3, 4, 5, or 6. Where would you place yourself on this scale, or haven't you thought much about this? VALUE LABEL -1 NAP 0 HAVENT THOUGHT MUCH 1 GREATLY DECREASE 7 GREATLY INCREASE 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/894 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 344 defspdfg DEFENSE SPENDING--GOVT POSITION Where would you place what the federal government is doing at the present time? VALUE LABEL -1 NAP 0 HAVENT THOUGHT MUCH 1 GREATLY DECREASE 7 GREATLY INCREASE 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/895 ________________________________________________________________________ hlpminr HELP MINORITIES--RS POSITION Some people feel that the government in Washington should make every possible effort to improve the social and economic position of blacks and other minority groups, even if it means giving them preferential treatment. (Suppose these people are at one end of the scale at point number 1.) Others feel that the government should not make any special effort to help minorities because they should help themselves. (Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between at points 2, 3, 4, 5, or 6.) Where would you place yourself on this scale, or haven't you thought much about this? VALUE LABEL -1 NAP 0 HAVENT THOUGHT MUCH 1 GOVT HELP 7 HELP SELVES 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/896 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 345 hlpminfg HELP MINORITIES--GOVT POSITION Where would you place what the federal government is doing at the present time? VALUE LABEL -1 NAP 0 HAVENT THOUGHT MUCH 1 GOVT HELP 7 HELP SELVES 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/897 ________________________________________________________________________ cutspdr CUT GOVT SPENDING--RS POSITION Some people think the government should provide fewer services, even in areas such as health and education, in order to reduce spending. Other people feel it is important for the government to continue the services it now provides even if it means no reduction in spending. Where would you place yourself on this scale, or haven't you thought much about this? VALUE LABEL -1 NAP 0 HAVENT THOUGHT MUCH 1 CUT SPENDING 7 MAINTAIN SERVICES 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/898 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 346 cutspdfg CUT GOVT SPENDING--GOVT POSITION Where would you place what the federal government is doing at the present time? VALUE LABEL -1 NAP 0 HAVENT THOUGHT MUCH 1 CUT SPENDING 7 MAINTAIN SERVICES 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/column: 1/899 ________________________________________________________________________ impfam FAMILY AND CHILDREN On these cards are various apects of life. We would like to know how important each of these aspects of life is for you. On each of these cards you see on the right hand side a scale with seven points. The lowest point with number 1 indicates that this aspect of life is unimportant to you. Point 7 at the top indicates that particular aspect of life is very important to you. The numbers in between indicate varying degrees of importance. Please take a look at all the cards first. Then, tell me for each card its letter and the number you've decided on. A. One's own family and children. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/900 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 347 impwork CAREER AND WORK B. Career and work. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/901 ________________________________________________________________________ imprelax FREE TIME AND RELAXATION C. Free time and relaxation. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/902 ________________________________________________________________________ impfrend FRIENDS AND ACQUAINTANCES D. Friends and acquaintances. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/903 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 348 impkin RELATIVES E. Relatives. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/904 ________________________________________________________________________ impchurh RELIGION AND CHURCH F. Religion and church. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/905 ________________________________________________________________________ imppol POLITICS AND PUBLIC LIFE G. Politics and public life. VALUE LABEL 0 NAP 1 UNIMPORTANT 7 VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/906 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 349 privacy IS R CONCERNED ABOUT PRIVACY? How concerned are you about threats to your personal privacy in America today? Would you say you are very concerned, somewhat concerned, only a little concerned, or not concerned at all? VALUE LABEL 0 NAP 1 VERY CONCERNED 2 SOMEWHAT 3 ONLY A LITTLE 4 NOT CONCERNED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/907 ________________________________________________________________________ civic DOES R FOLLOW PUBLIC AFFAIRS? Some people seem to follow what's going on in government and public affairs most of the time, whether there's an election going on or not. Others aren't that interested. Would you say you follow what's going on in government and public affairs most of the time, some of the time, only now and then, or hardly at all? VALUE LABEL 0 NAP 1 MOST OF THE TIME 2 SOME OF THE TIME 3 NOW AND THEN 4 HARDLY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/908 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 350 rushed HOW OFTEN R FEELS RUSHED In general, how do you feel about your time--would you say you always feel rushed even to do things you have to do, only sometimes feel rushed, or almost never feel rushed. VALUE LABEL 0 NAP 1 ALWAYS 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/909 ________________________________________________________________________ bored HOW OFTEN DOES R HAVE EXTRA TIME IF SOMETIMES OR ALMOST NEVER: How often would you say you have time on your hands that you don't know what to do with--quite often, just now and then, or almost never? VALUE LABEL 0 NAP 1 QUITE OFTEN 2 NOW AND THEN 3 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/910 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 351 pollgood DO SURVEYS SERVE GOOD PURPOSE In general, do you feel that surveys usually serve a good purpose or do you feel that they are usually a waste of time and money? VALUE LABEL 0 NAP 1 GOOD PURPOSE 2 DEPENDS 3 WASTE OF TIME AND $ 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/911 ________________________________________________________________________ polltrue TRUST RESULTS OF SURVEYS How often do you think you can trust the results of surveys, do you think they are almost always right, right most of the time, only some of the time, or hardly ever right? VALUE LABEL 0 NAP 1 ALMOST ALWAYS 2 MOST OF THE TIME 3 SOME OF THE TIME 4 HARDLY EVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/912 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 352 feserve MANDATORY CONSCRIPTION FOR FEMALES? How would you feel about a program that required all young women to give one year of service to the nation- -either in the military forces or in non-military work such as in hospitals or with elderly people--Would you strongly favor it, probably favor it, probably oppose it, or strongly oppose it? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 PROBABLY FAVOR 3 PROBABLY OPPOSE 4 STRONGLY OPPOSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/913 ________________________________________________________________________ meserve MANDATORY CONSCRIPTION FOR MALES? And how would you feel about such a program for all young men--Would you strongly favor it, probably favor it, probably oppose it, or strongly oppose it? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 PROBABLY FAVOR 3 PROBABLY OPPOSE 4 STRONGLY OPPOSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/914 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 353 taxserve FAVOR CONSCRIPTION GIVEN TAXES? IF STRONGLY FAVOR OR PROBABLY FAVOR EITHER A OR B: And suppose that the costs of such a program made it necessary to increase your taxes by a small amount-- for example, 5 percent. Would you strongly favor it, probably favor it, probably oppose it, or strongly oppose it? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 PROBABLY FAVOR 3 PROBABLY OPPOSE 4 STRONGLY OPPOSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/915 ________________________________________________________________________ milqual QUALITY OF PERSONS IN MILITARY As you know, this country stopped the military draft in 1972. Since that time we have relied on volunteers. Now I'd like to ask you a few questions about our armed forces. How would you rate the quality of the men and women now serving in the armed forces? Would you say the quality of personnel is excellent, good, not so good, or poor? (Just your own opinion based on what you've heard or read.) VALUE LABEL 0 NAP 1 EXCELLENT 2 GOOD 3 NOT SO GOOD 4 POOR 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/916 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 354 milpay PAY AND BENEFITS FOR MILITARY PERSONNEL How do you feel about the pay and benefits that people in the armed forces receive? Would you say the pay and benefits should be larger than they are now, should they be smaller, or are they about the right amount? VALUE LABEL 0 NAP 1 SHOULD BE LARGER 2 ABOUT RIGHT 3 SHOULD BE SMALLER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/917 ________________________________________________________________________ fenumok NUMBER OF WOMEN IN MILITARY At the present time, about 9 percent of the armed forces are women. All things considered, do you think there are too many women in the armed forces, about the right number, or should there be more women in the armed forces? VALUE LABEL 0 NAP 1 TOO MANY 2 ABOUT RIGHT NUMBER 3 SHOULD BE MORE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/918 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 355 hinumok NUMBER OF HISPANICS IN MILITARY At the present time, about 4 percent of the armed forces are Hispanics. All things considered, do you think there are too many Hispanics in the armed forces, about the right number, or should there be more Hispanics in the armed forces? VALUE LABEL 0 NAP 1 TOO MANY 2 ABOUT RIGHT NUMBER 3 SHOULD BE MORE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/919 ________________________________________________________________________ blnumok NUMBER OF BLACKS IN MILITARY At the present time, about 22 percent of the armed forces are black. All things considered, do you think there are too many blacks in the armed forces, about the right number or should there be more blacks in the armed forces? VALUE LABEL 0 NAP 1 TOO MANY 2 ABOUT RIGHT NUMBER 3 SHOULD BE MORE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/920 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 356 hinumoky NUMBER HISPANICS IN MILITARY-VERSION Y At the present time, about 4 percent of the army are Hispanics. All things considered, do you think there are too many Hispanics in the army, about the right number, or should there be more Hispanics in the army? VALUE LABEL 0 NAP 1 TOO MANY 2 ABOUT RIGHT NUMBER 3 SHOULD BE MORE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/921 ________________________________________________________________________ blnumoky NUMBER OF BLACKS IN MILITARY-VERSION Y At the present time, about 33 percent of the army are black. All things considered, do you think there are too many blacks in the army, about the right number or should there be more blacks in the army? VALUE LABEL 0 NAP 1 TOO MANY 2 ABOUT RIGHT NUMBER 3 SHOULD BE MORE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/922 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 357 milvolok HOW WELL HAS VOLUNTEER MILITARY WORKED? All things considered, how well do you think relying on volunteers has worked for the armed forces--has it worked very well, fairly well, or not well? VALUE LABEL 0 NAP 1 VERY WELL 2 FAIRLY WELL 3 NOT WELL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/923 ________________________________________________________________________ fightair WOMEN AS JET FIGHTER PILOTS Whese next questions are about the role of women in the armed forces. I'm going to read you a list of jobs that people might have in the armed forces. Please tell me whether you think a woman should or should not be assigned to each job, assuming she is trained to do it. A. A jet fighter pilot. VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/924 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 358 mechanic WOMEN AS TRUCK MECHANIC B. A truck mechanic. VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/925 ________________________________________________________________________ nurse WOMEN AS NURSES IN COMBAT ZONE C. A nurse in a combat zone. VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/926 ________________________________________________________________________ typist WOMEN AS TYPIST IN PENTAGON D. A typist in the Pentagon in Washington. VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/927 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 359 brass WOMEN IN COMMAND OF MILITARY BASES E. Commander of a large military base. VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/928 ________________________________________________________________________ fightlnd WOMEN IN HAND-TO-HAND COMBAT F. Soldier in hand-to-hand combat. VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/929 ________________________________________________________________________ transair WOMEN AS JET TRANSPORT PILOT G. A jet transport pilot. VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/930 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 360 gunner WOMEN AS AIR DEFENSE GUNNER IN U.S. H. Air defense missile gunner in the United States. VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/931 ________________________________________________________________________ fightsea WOMEN AS CREW MEMBER OF COMBAT SHIP I. A crew member on a combat ship. VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/932 ________________________________________________________________________ fefight ARE WOMEN ASSIGNED TO COMBAT As far as you know, are women now assigned to jobs in the armed forces that would expose them to combat, or are women not assigned to such jobs? VALUE LABEL 0 NAP 1 YES, THEY ARE 2 NO THEY ARENT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/933 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 361 fedirty ARE WOMEN ASSIGNED TO DIRTY JOBS As far as you know, are women in the armed forces now assigned to dirty jobs like repairing trucks or other heavy equipment, or are women not assigned to such jobs? VALUE LABEL 0 NAP 1 YES, THEY ARE 2 NO THEY ARENT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/934 ________________________________________________________________________ febrass DO WOMEN COMMAND OVER MEN As far as you know, are women in the armed forces now assigned to jobs where they have command over men, or are women not assigned to such jobs? VALUE LABEL 0 NAP 1 YES, THEY ARE 2 NO THEY ARENT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/935 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 362 fehlpmil DO WOMEN RAISE EFFECTIVENESS OF MILITARY In the past 10 years the number of women in the armed forces has increased from about 2 percent to about 8 percent today. In general, would you say the increased number or women has raised the effectiveness of our armed forces, has it made no difference, or has it made our armed forces less effective? (Just your own opinion.) VALUE LABEL 0 NAP 1 RAISED EFFECTIVENESS 2 NO DIFFERENCE 3 LOWERED EFFCTIVENESS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/936 ________________________________________________________________________ draft RETURN TO THE DRAFT? Do you think we should return to a military draft at this time, or should we continue to rely on volunteers? VALUE LABEL 0 NAP 1 DRAFT 2 VOLUNTEERS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/937 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 363 draftfe IF RETURN TO DRAFT, DRAFT WOMEN? IF DRAFT: I we should return to a military draft at this time, should young women be drafted as well as young men, or not? VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/938 ________________________________________________________________________ draftem IF EMERGENCY, RETURN TO DRAFT? IF VOLUNTEERS OR DON'T KNOW: If there were a national emergency, do you think we should return to a military draft or should we continue to rely on volunteers? VALUE LABEL 0 NAP 1 DRAFT 2 VOLUNTEERS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/939 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 364 draftfem IF EMERGENCY, DRAFT WOMEN ALSO? If we should return to a military draft in a national emergency, should young women be drafted as well as young men, or not? VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/940 ________________________________________________________________________ draftcol COLLEGE STUDENTS EXEMPT FROM DRAFT? If the United States returned to a military draft, it would not be neessary to draft everyone of military age. That is, certain types of people could be exempted, even though they were otherwise qualified for service. A. Do you think college students should be exempted from a draft? VALUE LABEL 0 NAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/941 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 365 draftmar MARRIED PERSONS EXEMPT FROM DRAFT? B. Should married persons be exempted? VALUE LABEL 0 NAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/942 ________________________________________________________________________ draftpar PARENTS OF SMALL CHLDRN EXEMPT FRM DRAFT C. Should parents of small children be exempted? VALUE LABEL 0 NAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/943 ________________________________________________________________________ draftgay GAYS EXEMPT FROM DRAFT? D. Should homosexuals be exempted? VALUE LABEL 0 NAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/944 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 366 draftco CONSCIENTIOUS OBJECTOR EXEMPT FROM DRAFT E. People who have conscientious objections to war? VALUE LABEL 0 NAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/945 ________________________________________________________________________ draftdef DEFENSE OCCUPATIONS EXEMPT FROM DRAFT? F. People in important defense occupations? VALUE LABEL 0 NAP 1 YES 2 NO, NOT EXEMPT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/946 ________________________________________________________________________ vetfam FAMILY MEMBERS SERVED IN ARMED FORCES? Have any other members of your immediate family--that is, your (spouse/parent/children/brothers or sisters)- -ever served in the armed forces? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/947 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 367 vetfamnw ANY FAMILY MEMBERS IN ARMED FORCES NOW IF YES: Are any other members of your immediate family serving in the Armed forces now? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/948 ________________________________________________________________________ minmilop MIN OPPORTUNITIES BETTER IN MILITARY? Thinking about opportunities and equal treatment for minority groups, like Blacks and Hispanics--Would you say that their treatment and opportunities are better in the military, better in civilian employment, or that there isn't any difference these days.? VALUE LABEL 0 NAP 1 MILITARY BETTER 2 CIVILIAN BETTER 3 NO DIFFERENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/949 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 368 femilop FEM OPPORTUNITIES BETTER IN MILITARY? And what about women? Would you say that their treatment and opportunities are better in the military, better in civilian employment, or that there isn't any difference these days? VALUE LABEL 0 NAP 1 MILITARY BETTER 2 CIVILIAN BETTER 3 NO DIFFERENCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/950 ________________________________________________________________________ copunish PUNISH DRAFT RESISTERS? Even though they are no longer drafted for military service, young men are still required by law to register for the draft when they become 18 years old. If a young man refuses to register for the draft, do you think he should be punished in any way? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/951 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 369 cojail JAIL DRAFT RESISTERS? IF YES: If a young man refuses to register for the draft, would you approve or disapprove of sending him to jail? VALUE LABEL 0 NAP 1 APPROVE 2 DISAPPROVE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/952 ________________________________________________________________________ milokme MILITARY SERVICE GOOD EXPERIENCE FOR MEN For most young men, do you think military service is definitely a good experience, probably a good experience, probably not a good experience, or definitely not a good experience for them? VALUE LABEL 0 NAP 1 DEFINITELY GOOD 2 PROBABLY GOOD 3 PROB NOT GOOD 4 DEF NOT GOOD 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/953 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 370 milokfe MIL SERVICE GOOD EXPERIENCE FOR WOMEN How about for most young women, do you think military service is definitely a good experience, probably a good experience, probably not a good experience, or definitely not a good experience for them? VALUE LABEL 0 NAP 1 DEFINITELY GOOD 2 PROBABLY GOOD 3 PROB NOT GOOD 4 DEF NOT GOOD 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/954 ________________________________________________________________________ upgrade REFUSE VOLS WITH NO BASIC SKILLS? Many people who want to volunteer for service in the armed forces do not have the necessary basic skills like reading, writing and arithmetic. Do you think the armed forces should refuse to acccept such volunteers, or should they accept them and give them the necessary education? VALUE LABEL 0 NAP 1 REFUSE TO ACCEPT 2 ACCEPT & EDUCATE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/955 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 371 jobtrain OBLIGATION TO TRAIN FOR CIVILIAN JOBS? Most people in the Armed Forces are taught skills they can use in civilian jobs later. But some don't get such training. They are taught only combat skills. Do you think the Armed Forces have an obligation to train everybody in service for civilian jobs later, or is that not a responsibility of the Armed Forces? VALUE LABEL 0 NAP 1 YES,OBLIGATION 2 NOT OBLIGATION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/956 ________________________________________________________________________ nukewar POSSIBILITY OF AN ALL-OUT ATOMIC WAR I'm going to read you some possible military situations the U.S. might face in the next ten years. Some people feel these situations are certain to happen (think of these as point 7 on the scale), others think thse situations won't happen at all (think of these as point 1 on the scale). And of course some people have opinions somewhere in between. For each of these possible military situations, please give me your best guess as to how likely it is to happen. For example, an all-out atomic war. Where would you put the likelihood of an all-out atomic war during the next ten years? (Would you say 7--it is certain to happen, 1--it won't happen at all, or something in between?) VALUE LABEL 0 NAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/957 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 372 landwar POSSIBILITY OF A CONVENTIONAL GROUND WAR Where would you put the likelihood of a conventional ground war involving thousands of troops? (Would you say 7--it is certain to happen, 1--it won't happen at all, or something in between?) VALUE LABEL 0 NAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/958 ________________________________________________________________________ morenuke POSSIBILITY OF INCREASING ARMS RACE Where would you put the likelihood of peace but increasing arms built by the U.S. and Russia? (Would you say 7--it is certain to happen, 1--it won't happen at all, or something in between?) VALUE LABEL 0 NAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/959 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 373 lessnuke POSSIBILITY OF REDUCING ATOMIC WEAPONS Where would you put the likelihood of an agreement with the Rusisans to reduce atomic arms by both sides? (Would you say 7--it is certain to happen, 1--it won't happen at all, or something in between?) VALUE LABEL 0 NAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/960 ________________________________________________________________________ nonuke POSSIBILITY ELIMINATING ATOMIC WEAPONS Where would you put the likelihood of elimination of atomic weapons by both U.S. and Russia? (Would you say 7--it is certain to happen, 1--it won't happen at all, or something in between?) VALUE LABEL 0 NAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/961 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 374 guerilla POSSIBILITY OF GUERILLA WARS Where would you put the likelihood of repeated guerilla wars against left wing rebels? (Would you say 7--it is certain to happen, 1--it won't happen at all, or something in between?) VALUE LABEL 0 NAP 1 WONT HAPPEN 7 CERTAIN TO HAPPEN 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/962 ________________________________________________________________________ vetaid ANY IN HH RECEIVE MIL OR VET BENEFITS Are you or any members of your present household currently receiving any pay or benefits from either the military or the Veterans Administration? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/963 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 375 defwrkev EVER WORK FOR MILITARY SUPPLIER? Have you ever worked for a company where a major part of their business was selling supplies or services to the armed forces? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/964 ________________________________________________________________________ defwrknw CURRENTLY WORK FOR MILITARY SUPPLIER? IF YES: Do you work for such a company now? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/965 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 376 milwrkev EVER WORK FOR MILITARY OR DOD? Have you ever had a civilian job with the armed forces or the Defense Department? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/966 ________________________________________________________________________ milwrknw CURRENTLY WORK FOR MILITARY OR DOD? IF YES: do you have a job now with the armed forces or with the Defense Department? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/967 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 377 resdefwk LOCAL ECONOMY DEPENDS ON DEFENSE WORK? Would you say the economy of (NAME METROPOLITAN AREA OR COUNTY) is very dependent on defense business, somewhat dependent, or not dependent at all on defense business? VALUE LABEL 0 NAP 1 VERY DEPENDENT 2 SOMEWHAT DEPENDENT 3 NOT AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/968 ________________________________________________________________________ obvote OBLIGATION--VOTING IN ELECTIONS And one last question. We all know that American citizens have certain rights. For example, they have the right to free public education and to police protection, the right to attend religious services of their choice, and the right to elect public officials. I'd like to ask now about certain obligations that some people feel American citizens owe their country. I just want your own opinion on these--whether you feel it is a very important obligation, a somewhat important obligation, or not an obligation that a citizen owes to the country. A. First, to vote in elections? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/969 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 378 obvol OBLIGATION--COMMUNITY SERVICE B. How about volunteering some time to community services? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/970 ________________________________________________________________________ objury OBLIGATION--JURY DUTY C. How about serving on a jury if called? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/971 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 379 ob911 OBLIGATION--REPORTING A CRIME D. Reporting a crime that he or she may have witnessed? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/972 ________________________________________________________________________ obeng OBLIGATION--BEING ABLE TO SPEAK ENGLISH E. How about being able to speak and understand English? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/973 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 380 obknow OBLIGATION--KEEPING INFORMED F. Keeping fully informed about news and public issues? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/974 ________________________________________________________________________ obmepax OBLIGATION--PEACETIME MIL SERVICE-MEN G. How about, for young men, serving in the military during peacetime? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/975 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 381 obmewar OBLIGATION--WARTIME MIL SERVICE-MEN H. For young men, serving in the military when the country is at war? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/976 ________________________________________________________________________ obfepax OBLIGATION--PEACETIME MIL SERVICE-FEMALE I. For young women, serving in the military during peacetime? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/977 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 382 obfewar OBLIGATION--WARTIME MIL SERVICE-FEMALE J. For young women, serving in the military when the country is at war? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT OBLIGATION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/978 ________________________________________________________________________ helppoor SHOULD GOVT IMPROVE STANDARD OF LIVING? I'd like to talk with you about issues some people tell us are important. Please look at CARD AS. Some people think that the government in Washington should do everything possible to improve the standard of living of all poor Americans; they are at Point 1 on this card. Other people think it is not the government's responsiblity, and that each person should take care of himself; they are at Point 5. Where would you place yourself on this scale, or haven't you made up your mind on this? VALUE LABEL 0 NAP 1 GOVT ACTION 3 AGREE WITH BOTH 5 PEOPLE HELP SELVES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/979 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 383 helpnot SHOULD GOVT DO MORE OR LESS? Now look at CARD AT. Some people think that the government in Washington is trying to do too many things that should be left to individuals and private businesses. Others disagree and think that the government should do even more to solve our country's problems. Still others have opinions somewhere in between. Where would you place yourself on this scale, or haven't you made up your mind on this? VALUE LABEL 0 NAP 1 GOVT DO MORE 3 AGREE WITH BOTH 5 GOVT DOES TOO MUCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/980 ________________________________________________________________________ helpsick SHOULD GOVT HELP PAY FOR MEDICAL CARE? Look at CARD AU. In general, some people think that it is the responsibility of the government in Washington to see to it that people have help in paying for doctors and hospital bills. Others think that these matters are not the responsibility of the federal government and that people should take care of these things themselves. Where would you place yourself on this scale, or haven't you made up your mind? VALUE LABEL 0 NAP 1 GOVT SHOULD HELP 3 AGREE WITH BOTH 5 PEOPLE HELP SELVES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/981 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 384 helpblk SHOULD GOVT AID BLACKS? Now look at CARD AV. Some people think that (Blacks/Negroes) have been discriminated against for so long that the government has a special obligation to help improve their living standards. Others believe that the government should not be giving special treatment to (Blacks/Negroes). Where would you place yourself on this scale, or haven't you made up your mind? VALUE LABEL 0 NAP 1 GOVT HELP BLKS 3 AGREE WITH BOTH 5 NO SPECIAL TREATMENT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/982 ________________________________________________________________________ scisolve SCIENCE WILL SOLVE SOCIAL PROBLEMS Here are some things that have been said about science. Would you tell me if you tend to agree or disagree with them? A. Science will solve our social problems like crime and mental illness. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/983 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 385 scichng SCIENCE CHANGES WAY OF LIFE TOO FAST B. One trouble with science is that it makes our way of life change too fast. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/984 ________________________________________________________________________ scipry SCIENTISTS PRY INTO THINGS THEY OUGHTNT C. Scientists always seem to be prying into things that they really ought to stay out of. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/985 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 386 scimoral SCIENCE BREAKS DOWN IDEAS OF RIGHT&WRONG D. One of the bad effects of science is that it breaks down people's ideas of right and wrong. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/986 ________________________________________________________________________ switched HAS R EVER HAD A DIFFERENT RELIGION I'd like to go over your religious preferences since you were raised as a (RELIGION AND/OR DENOMINATION MENTIONED IN Q. 115/115A). Have you ever had another religious preference besides being (RELIGION AND/OR DENOMINATION MENTIONED IN Q. 115/115A). VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/987 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 387 switch1 WHAT WAS RS FIRST RELIGIOUS PREFERENCE IF YES: Starting when you were 16 years old, what other religious preferences have you had? Please mention your earliest preference first. Any others? First mention. VALUE LABEL 110000 AMER BAPTIST ASSOC 111000 AMER BAPT CH IN US 112000 NATL BAPT CON OF AM 113000 NATL BAPT CON, USA 114000 SOUTHERN BAPT CON 115000 OTHER BAPTIST CHURCH 118000 BAPTIST, DK WHICH 120000 AFRCN METH EPIS CH 121000 AFRCN METH EPIS ZION 122000 UNITED METHODIST CH 123000 OTHER METHODIST CH 128000 METHODIST, DK WHICH 130000 AMER LUTHERAN CHURCH 131000 LUTHERAN CH IN AMER 132000 LUTH CH-MISSOURI SYN 133000 WISCONSIN EV LUTH SN 134000 OTHER LUTHERAN CHURC 135000 EVANGELICAL LUTHERAN 138000 LUTHERAN, DK WHICH 140000 PRESBYTERIAN CH N US 141000 UNITED PRES CH IN US 142000 OTHER PRESBYTERIAN 148000 PRESBYTERIAN, DK WHI 150000 EPISCOPAL CHURCH 160000 OTHER PROTESTANT 170000 NO DENOMINATION 200000 CATHOLIC 300000 JEWISH 400000 NONE 500000 OTHER RELIGION 999999 MISSING Data type: numeric Missing-data codes: 0,999999 Record/columns: 1/988-993 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 388 switch2 WHAT WAS RS SECOND RELIGIOUS PREFERENCE Second mention. VALUE LABEL 110000 AMER BAPTIST ASSOC 111000 AMER BAPT CH IN US 112000 NATL BAPT CON OF AM 113000 NATL BAPT CON, USA 114000 SOUTHERN BAPT CON 115000 OTHER BAPTIST CHURCH 118000 BAPTIST, DK WHICH 120000 AFRCN METH EPIS CH 121000 AFRCN METH EPIS ZION 122000 UNITED METHODIST CH 123000 OTHER METHODIST CH 128000 METHODIST, DK WHICH 130000 AMER LUTHERAN CHURCH 131000 LUTHERAN CH IN AMER 132000 LUTH CH-MISSOURI SYN 133000 WISCONSIN EV LUTH SN 134000 OTHER LUTHERAN CHURC 135000 EVANGELICAL LUTHERAN 138000 LUTHERAN, DK WHICH 140000 PRESBYTERIAN CH N US 141000 UNITED PRES CH IN US 142000 OTHER PRESBYTERIAN 148000 PRESBYTERIAN, DK WHI 150000 EPISCOPAL CHURCH 160000 OTHER PROTESTANT 170000 NO DENOMINATION 200000 CATHOLIC 300000 JEWISH 400000 NONE 500000 OTHER RELIGION 999999 MISSING Data type: numeric Missing-data codes: 0,999999 Record/columns: 1/994-999 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 389 switch3 WHAT WAS RS THIRD RELIGIOUS PREFERENCE Third mention. VALUE LABEL 110000 AMER BAPTIST ASSOC 111000 AMER BAPT CH IN US 112000 NATL BAPT CON OF AM 113000 NATL BAPT CON, USA 114000 SOUTHERN BAPT CON 115000 OTHER BAPTIST CHURCH 118000 BAPTIST, DK WHICH 120000 AFRCN METH EPIS CH 121000 AFRCN METH EPIS ZION 122000 UNITED METHODIST CH 123000 OTHER METHODIST CH 128000 METHODIST, DK WHICH 130000 AMER LUTHERAN CHURCH 131000 LUTHERAN CH IN AMER 132000 LUTH CH-MISSOURI SYN 133000 WISCONSIN EV LUTH SN 134000 OTHER LUTHERAN CHURC 135000 EVANGELICAL LUTHERAN 138000 LUTHERAN, DK WHICH 140000 PRESBYTERIAN CH N US 141000 UNITED PRES CH IN US 142000 OTHER PRESBYTERIAN 148000 PRESBYTERIAN, DK WHI 150000 EPISCOPAL CHURCH 160000 OTHER PROTESTANT 170000 NO DENOMINATION 200000 CATHOLIC 300000 JEWISH 400000 NONE 500000 OTHER RELIGION 999999 MISSING Data type: numeric Missing-data codes: 0,999999 Record/columns: 1/1000-1005 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 390 switnum HOW MANY RELIGIOUS PREFERENCES MENTIONED RECORD NUMBER OF RELIGIONS MENTIONED VALUE LABEL -1 NAP 4 FOUR OR MORE 9 NA Data type: numeric Missing-data codes: -1,9 Record/column: 1/1006 ________________________________________________________________________ switage1 HOW OLD WAS R WHEN FIRST SWITCHED How old were you when you switched to (FIRST/SECOND MENTION)? Age at first switch. VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/1007-1008 ________________________________________________________________________ switage2 HOW OLD WAS R WHEN SECOND SWITCH Age at second switch. VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/1009-1010 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 391 switwhy1 WHY DID R MAKE FIRST SWITCH Why did you become a (FIRST/SECOND MENTION)? Why first switch made. VALUE LABEL 0 NA 10 MARRIAGE 14 MARR & LOCATION 15 MARR & THEOLOGY 16 MARR. & CLERGY 17 MARR & POSITIVE BLF 20 FRIENDS 23 FRNDS & FAMILY 24 FRNDS & LOCATION 25 FRNDS & THEO DIS 26 FRNDS & CLERGY 28 FRNDS & OTHER POS. 30 FAMILY 34 FAM & LOCATION 35 FAM & THEO DISS. 37 FAM & POSITIVE BLF 39 FAM & MISC 40 LOCATION 41 LOC & TO CHANGE 45 LOC & THEO DISSAT 46 LOC AND CLERGY 47 LOC & POSITIVE BLF 50 THEOLOGICAL DISS 56 THEO DISS & CLERGY 60 CLERGY 68 CLERGY & OTH POS 69 CLERGY & MISSING 70 TO CHANGE 71 OTHER, TO CHANGE 76 OTHER, MISC 77 OTHER, POS BLFS 78 OTHER, POS OTHER 79 OTHER, MISSING 85 LOC, THEO & CLRGY 86 FRNDS,FAM,LOCATION 87 MARR,LOC,THEO DIS 99 MISSING VALUES Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1011-1012 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 392 switwhy2 WHY DID R MAKE SECOND SWITCH Why second switch made. VALUE LABEL 0 NA 10 MARRIAGE 14 MARR & LOCATION 15 MARR & THEOLOGY 16 MARR. & CLERGY 17 MARR & POSITIVE BLF 20 FRIENDS 23 FRNDS & FAMILY 24 FRNDS & LOCATION 25 FRNDS & THEO DIS 26 FRNDS & CLERGY 28 FRNDS & OTHER POS. 30 FAMILY 34 FAM & LOCATION 35 FAM & THEO DISS. 37 FAM & POSITIVE BLF 39 FAM & MISC 40 LOCATION 41 LOC & TO CHANGE 45 LOC & THEO DISSAT 46 LOC AND CLERGY 47 LOC & POSITIVE BLF 50 THEOLOGICAL DISS 56 THEO DISS & CLERGY 60 CLERGY 68 CLERGY & OTH POS 69 CLERGY & MISSING 70 TO CHANGE 71 OTHER, TO CHANGE 76 OTHER, MISC 77 OTHER, POS BLFS 78 OTHER, POS OTHER 79 OTHER, MISSING 85 LOC, THEO & CLRGY 86 FRNDS,FAM,LOCATION 87 MARR,LOC,THEO DIS 99 MISSING VALUES Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1013-1014 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 393 marelig WHAT WAS MOTHERS RELIGIOUS PREFERENCE What was your mother's religious preference when you were growing up? Was it Protestant, Catholic, Jewish, some other religion, or no religion? VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1015 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 394 maden WHAT WAS MOTHERS RELIGIOUS DENOMINATION IF PROTESTANT: What specific denomination is that, if any? VALUE LABEL 0 NAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN US 42 OTHER PRESBYTERIAN 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1016-1017 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 395 maoth OTHER PROTESTANT DENOMINATION FOR MOTHER Q. 359, Col. 1358, punch 5 (Other, SPECIFY), is available from NORC. Q. 359A, Cols. 1359-1360, punch 60 (N = 161), recoded into Cols. 1361-1363[MAOTH]. See Appendix K: Protestant denominations. See Appendix N for changes across surveys. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1018-1020 ________________________________________________________________________ majew WHAT SORT OF JEW WAS RS MOTHER IF JEWISH: Was she Orthodox, Conservative, Reform, or none of these? VALUE LABEL 0 NAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1021 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 396 mafund HOW FUNDAMENTALIST WAS RS MOTHER C. Fundamentalism/Liberalism of Mother's Religion VALUE LABEL 0 NAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1022 ________________________________________________________________________ parelig WHAT WAS FATHERS RELIGIOUS PREFERENCE What was your father's religious preference when you were growing up? Was it Protestant, Catholic, Jewish, some other religion, or no religion? VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1023 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 397 paden WHAT WAS FATHERS RELIGIOUS DENOMINATION IF PROTESTANT: What specific denomination is that, if any? VALUE LABEL 0 NAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTH 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1024-1025 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 398 paoth OTHER PROTESTANT DENOMINATION FOR FATHER Q. 360, Col. 1369, punch 5 (Other, SPECIFY), is available from NORC. Q. 360A, Cols. 1370-1371, punch 60 (N = 122), recoded into Cols. 1372-1374 [PAOTH] See Appendix K: Protestant denominations. See Appendix N for changes across surveys. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1026-1028 ________________________________________________________________________ pajew WHAT SORT OF JEW WAS RS FATHER IF JEWISH: Was he Orthodox, Conservative, Reform, or none of these? VALUE LABEL 0 NAP 1 ORTHODOX 2 CONSERVATIVE 3 REFORM 4 NONE OF THESE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1029 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 399 pafund HOW FUNDAMENTALIST WAS RS FATHER C. Fundamentalism/Liberalism of Father's Religion VALUE LABEL 0 NAP 1 FUNDAMENTALIST 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1030 ________________________________________________________________________ churhsch NUMBER OF YEARS R ATTENDED CHURCH SCHOOL Did you get any of your grade or high school education in parochial schools or other schools run by religious groups? How many years did you attend religious schools? VALUE LABEL -1 NAP 0 NEVER WENT OR LESS THAN HALF YEAR 95 ONE OR MORE YEAR 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/1031-1032 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 400 sunsch16 HOW FREQUENTLY R ATTENDED SUNDAY SCHOOL When you were growing up, did you attend Sunday school or religious instruction classes regularly, most of the time, some of the time, or never? VALUE LABEL 0 NAP 1 REGULARLY 2 MOST OF THE TIME 3 SOME OF THE TIME 4 NEVER 5 ATT PAROCHIAL SCH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1033 ________________________________________________________________________ grace16 DID RS FAMILY SAY GRACE AT MEALS When you were growing up, did anyone usually say grace or give thanks to God aloud before meals at home? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1034 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 401 join16 WAS R EVER CONFIRMED AS MEMBER OF CHURCH Did you ever join a church (synagogue) when you were growing up, that is, become a member by confirmation or such? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1035 ________________________________________________________________________ lapsed DID R EVER LAPSE IN CHURCH ATTENDANCE Since you were 16 years old, has there ever been a period of 2 years or more when you did not attend religious services? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1036 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 402 churhmem IS R A MEMBER OF CHURCH OR SYNAGOGUE Are you, yourself, a member of a church or synagogue? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1037 ________________________________________________________________________ churhact DOES R PARTICIPATE IN CHURCH ACTIVITIES IF YES: Do you take part in any of the activities or organizations of your church (synagogue) other than attending service? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1038 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 403 tvrelig HOURS PER WEEK R WATCHES RELIGIOUS TV About how much time per week, in hours and minutes, do you normally spend watching reliigious shows on television? VALUE LABEL -1 NAP 99.8 DK 99.9 NA Data type: numeric Decimals: 1 Missing-data codes: -1.0,99.8,99.9 Record/columns: 1/1039-1041 ________________________________________________________________________ god RS CONFIDENCE IN THE EXISTENCE OF GOD Please look at this card and tell me which statement comes closest to expressing what you believe about God. A. I don't believe in God. 2. I don't know whether there is a God and I don't believe there is any way to find out. 3. I don't believe in a personal God, but I do believe in a Higher Power of some kind. 4. I find myself believing in God some of the time, but not at others. 5. While I have doubts, I feel that I do believe in God. 6. I know God really exists and I have no doubts about it. VALUE LABEL 0 NAP 1 DONT BELIEVE 2 NO WAY TO FIND OUT 3 SOME HIGHER POWER 4 BELIEVE SOMETIMES 5 BELIEVE BUT DOUBTS 6 KNOW GOD EXISTS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1042 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 404 reborn BORN AGAIN Would you say you have been "born again" or have had a "born again" experience -- that is, a turning point in you life when you committed yourself to Christ? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1043 ________________________________________________________________________ savesoul TRIED TO CONVINCE OTHERS TO ACCEPT JESUS Have you ever tried to encourage someone to believe in Jesus Christ or to accept Jesus Christ as his or her savior? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1044 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 405 saygrace DOES RS FAMILY SAY GRACE BEFORE MEALS At your family meals at home, does anyone say grace or give thanks to God aloud before meals? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1045 ________________________________________________________________________ readword HOW OFTEN DID R READ BIBLE LAST YEAR Have you read any part of the Bible at home within the last year? IF YES: How often have you read the Bible in the last year? VALUE LABEL 0 NAP 1 SEVERAL X DAY 2 ONCE A DAY 3 SEVERAL X WEEK 4 ONCE A WEEK 5 LT ONCE A WEEK 6 DIDNT READ LAST YEAR 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1046 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 406 punsin R AGREES THAT SINNERS MUST BE PUNISHED Please consider the following statements and tell me whether you agree strongly, agree somewhat, disagree somewhat, or disagree strongly with each statement. A. Those who violate God's rules must be punished. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1047 ________________________________________________________________________ blkwhite R AGREES RIGHT & WRONG NOT BLACK & WHITE B. Right and wrong are not usually a simple matter of black and white; there are many shades of gray. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1048 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 407 rotapple R AGREES IMMORAL PERSON CORRUPTS SOCIETY C. Immoral actions by one person can corrupt society in general. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1049 ________________________________________________________________________ permoral R AGREES THAT MORALITY A PERSONAL MATTER D. Morality is a personal matter and society should not force everyone to follow one standard. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 DISAGREE SOMEWHAT 4 DISAGREE STRONGLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1050 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 408 decbible IMPORTANCE OF BIBLE IN MAKING DECISIONS Can you tell me how important is each of the following in helping you to make decisions about your life. Please indicate your answer by stating where you would place your feelings on a scale from 1 to 5 as shown on this hand card. Consider the first topic. If you think the Bible is very important in helping you to make decisions about your life, you would place yourself at 1. If you feel it is not very important in helping you to make decisions about your life, then you would place yourself at 5. If you feel the Bible is "somewhere between these two" in helping you make decisions about your life, then you would place yourself at 2, 3, or 4. A. The Bible. VALUE LABEL 0 NAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1051 ________________________________________________________________________ decoths IMP. OF FAMILY&FRIENDS TO MAKE DECISIONS B. Your family and friends. VALUE LABEL 0 NAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1052 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 409 decchurh IMP OF CHURCH TEACHINGS TO MAKE DECISION C. The teachings of your church or synagogue. VALUE LABEL 0 NAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1053 ________________________________________________________________________ decself IMP OF PERSONAL JUDGMNT TO MAKE DECISION D. Your own personal judgement. VALUE LABEL 0 NAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1054 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 410 gochurch IMPORTANCE OF ATTENDING CHURCH REGULARLY People have many differing views about what makes a person a good Christian or Jew. Please tell me how important is each of the following to you. Once again, please indicate where you would place your feelings on a scale from 1 to 5. A. To attend regularly religious services at church or synagogue. VALUE LABEL 0 NAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1055 ________________________________________________________________________ believe IMPORTANCE OF BELIEVING IN GOD W O DOUBT B. To believe in God without question or doubt. VALUE LABEL 0 NAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1056 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 411 follow IMPORTANCE OF FOLLOWING CHURCH TEACHINGS C. To follow faithfully the teachings of their church or synagogue. VALUE LABEL 0 NAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1057 ________________________________________________________________________ goownway IMPORTANCE OF FOLLOWING OWN CONSCIENCE D. To follow one's conscience even if it means going against what the churches or synagoges say and do. VALUE LABEL 0 NAP 1 VERY IMPORTANT 5 NOT VERY IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1058 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 412 myfaith DEGREE TO WHICH FAITH IS FREE OF DOUBT Here is another card with contrasting ideas. If you feel that "My faith is completely free of doubts," you would place yourself at 1. If you feel "My faith is mixed with doubts," you would place yourself at 7. If you feel somewhere between these two, you would place yourself at 2, 3, 4, 5, or 6. Where would you place your feelings about your faith? VALUE LABEL 0 NAP 1 FAITH FREE OF DOUBT 7 FAITH MIXED W DOUBT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1059 ________________________________________________________________________ madatgod HOW OFTEN R FEELS ANGRY AT GOD "I often feel angry at God." vs. "I have never felt angry at God." VALUE LABEL 0 NAP 1 OFTEN ANGRY AT GOD 7 NEVER ANGRY AT GOD 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1060 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 413 doubts1 HAS EVIL IN THE WORLD CAUSED R DOUBT How often have these problems caused doubts about your religious faith - often, sometimes, or never. A. Evil in the world. VALUE LABEL 0 NAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1061 ________________________________________________________________________ doubts2 HAS PERSONAL SUFFERING CAUSED R DOUBT B. Personal suffering. VALUE LABEL 0 NAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1062 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 414 doubts3 HAS SCIENCE-FAITH CONFLICT CAUSED DOUBT C. Conflict of faith and science. VALUE LABEL 0 NAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1063 ________________________________________________________________________ doubts4 HAS FEELING O'MEANINGLSSNSS CAUSED DOUBT D. Feeling that life really has no meaning. VALUE LABEL 0 NAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1064 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 415 faith1 HAS DEATH IN FAMILY STRENGTHENED FAITH How often have these events strengthened your religious faith - often, sometimes, or never. A. Death in the family. VALUE LABEL 0 NAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1065 ________________________________________________________________________ faith2 HAS BIRTH OF CHILD STRENGTHENED FAITH B. Birth of a child. VALUE LABEL 0 NAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1066 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 416 faith3 HAS MARRIAGE STRENGTHENED FAITH C. Marriage. VALUE LABEL 0 NAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1067 ________________________________________________________________________ faith4 HAS SEXUAL PLEASURE STRENGTHENED FAITH D. Intense sexual pleasure. VALUE LABEL 0 NAP 1 OFTEN 2 SOMETIMES 3 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1068 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 417 frndcon1 DOES FRIEND 1 BELONG TO RS CONGREGATION Many people have some good friends they feel close to. Who are your good friends (other than your spouse)? Just tell me their first names. Is there anyone else? Now let's go back and talk about (NAME). Is (NAME) a member of your congregation? 1. First person member of respondent's congregation. VALUE LABEL 0 NAP 1 YES 2 NO 3 R ISNT IN CONGREGTN 4 FRIEND, NO INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1069 ________________________________________________________________________ frndcon2 DOES FRIEND 2 BELONG TO RS CONGREGATION 2. Second person member of respondent's congregation. VALUE LABEL 0 NAP 1 YES 2 NO 3 R ISNT IN CONGREGTN 4 FRIEND, NO INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1070 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 418 frndcon3 DOES FRIEND 3 BELONG TO RS CONGREGATION 3. Third person member of respondent's congregation. VALUE LABEL 0 NAP 1 YES 2 NO 3 R ISNT IN CONGREGTN 4 FRIEND, NO INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1071 ________________________________________________________________________ frndcon4 DOES FRIEND 4 BELONG TO RS CONGREGATION Fourth Person Member of Respondent's Congregation VALUE LABEL 0 NAP 1 YES 2 NO 3 R ISNT IN CONGREGTN 4 FRIEND, NO INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1072 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 419 frndcon5 DOES FRIEND 5 BELONG TO RS CONGREGATION Fifth Person Member of Respondent's Congregation VALUE LABEL 0 NAP 1 YES 2 NO 3 R ISNT IN CONGREGTN 4 FRIEND, NO INFO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1073 ________________________________________________________________________ frndrel1 WHAT IS FRIEND 1S RELIGIOUS PREFERENCE What is (NAME)'s religious preference? Is it Protestant, Catholic, Jewish, some other religion, or no religion? VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1074 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 420 frndrel2 WHAT IS FRIEND 2S RELIGIOUS PREFERENCE Religion of Second Person VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1075 ________________________________________________________________________ frndrel3 WHAT IS FRIEND 3S RELIGIOUS PREFERENCE Religion of Third Person VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1076 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 421 frndrel4 WHAT IS FRIEND 4S RELIGIOUS PREFERENCE Religion of Fourth Person VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1077 ________________________________________________________________________ frndrel5 WHAT IS FRIEND 5S RELIGIOUS PREFERENCE Religion of Fifth Person VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 NONE 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1078 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 422 frndden1 WHAT IS FRIEND 1S SPECIFIC DENOMINATION IF PROTESTANT: What specific denomination is that, if any? VALUE LABEL 0 NAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTHERAN 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYT CH USA 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1079-1080 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 423 frndden2 WHAT IS FRIEND 2S SPECIFIC DENOMINATION Denomination of Second Person VALUE LABEL 0 NAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTHERAN 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYT CH USA 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1081-1082 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 424 frndden3 WHAT IS FRIEND 3S SPECIFIC DENOMINATION Denomination of Third Person VALUE LABEL 0 NAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTHERAN 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYT CH USA 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1083-1084 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 425 frndden4 WHAT IS FRIEND 4S SPECIFIC DENOMINATION Denomination of Fourth Person VALUE LABEL 0 NAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTHERAN 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYT CH USA 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1085-1086 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 426 frndden5 WHAT IS FRIEND 5S SPECIFIC DENOMINATION Denomination of Fifth Person VALUE LABEL 0 NAP 10 AM BAPTIST ASSO 11 AM BAPT CH IN USA 12 NAT BAPT CONV OF AM 13 NAT BAPT CONV USA 14 SOUTHERN BAPTIST 15 OTHER BAPTISTS 18 BAPTIST-DK WHICH 20 AFR METH EPISCOPAL 21 AFR METH EP ZION 22 UNITED METHODIST 23 OTHER METHODIST 28 METHODIST-DK WHICH 30 AM LUTHERAN 31 LUTH CH IN AMERICA 32 LUTHERAN-MO SYNOD 33 WI EVAN LUTH SYNOD 34 OTHER LUTHERAN 35 EVANGELICAL LUTHERAN 38 LUTHERAN-DK WHICH 40 PRESBYTERIAN C IN US 41 UNITED PRES CH IN USA 42 OTHER PRESBYTERIAN 43 PRESBYT CH USA 48 PRESBYTERIAN-DK WH 50 EPISCOPAL 60 OTHER 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1087-1088 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 427 frndoth1 WHAT IS FRIEND 1S OTHER PROT DENOM Punches 60 on FRNDDEN1, FRNDDEN2, FRNDDEN3, FRNDDEN4 and FRNDDEN5 are recoded into FRNDOTH1, FRNDOTH2, FRNDOTH3, FRNDOTH4, and FRNOTH5. For codes and distributions, see Appendix K: Protestant Denominations. 1. Detailed Denomination of First Person [FRNDOTH1] COLS. 1435-1437 2. Detailed Denomination of Second Person [FRNDOTH2] COLS. 1438-1440 3. Detailed Denomination of Third Person [FRNDOTH3] COLS. 1441-1443 4. Detailed Denomination of Fourth Person [FRNDOTH4] COLS. 1444-1446 5. Detailed Denomination of Fifth Person [FRNDOTH5] COLS. 1447-1449 VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1089-1091 ________________________________________________________________________ frndoth2 WHAT IS FRIEND 2S OTHER PROT DENOM Punches 60 on FRNDDEN1, FRNDDEN2, FRNDDEN3, FRNDDEN4 and FRNDDEN5 are recoded into FRNDOTH1, FRNDOTH2, FRNDOTH3, FRNDOTH4, and FRNOTH5. For codes and distributions, see Appendix K: Protestant Denominations. 1. Detailed Denomination of First Person [FRNDOTH1] COLS. 1435-1437 2. Detailed Denomination of Second Person [FRNDOTH2] COLS. 1438-1440 3. Detailed Denomination of Third Person [FRNDOTH3] COLS. 1441-1443 4. Detailed Denomination of Fourth Person [FRNDOTH4] COLS. 1444-1446 5. Detailed Denomination of Fifth Person [FRNDOTH5] COLS. 1447-1449 VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1092-1094 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 428 frndoth3 WHAT IS FRIEND 3S OTHER PROT DENOM Punches 60 on FRNDDEN1, FRNDDEN2, FRNDDEN3, FRNDDEN4 and FRNDDEN5 are recoded into FRNDOTH1, FRNDOTH2, FRNDOTH3, FRNDOTH4, and FRNOTH5. For codes and distributions, see Appendix K: Protestant Denominations. 1. Detailed Denomination of First Person [FRNDOTH1] COLS. 1435-1437 2. Detailed Denomination of Second Person [FRNDOTH2] COLS. 1438-1440 3. Detailed Denomination of Third Person [FRNDOTH3] COLS. 1441-1443 4. Detailed Denomination of Fourth Person [FRNDOTH4] COLS. 1444-1446 5. Detailed Denomination of Fifth Person [FRNDOTH5] COLS. 1447-1449 VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1095-1097 ________________________________________________________________________ frndoth4 WHAT IS FRIEND 4S OTHER PROT DENOM Punches 60 on FRNDDEN1, FRNDDEN2, FRNDDEN3, FRNDDEN4 and FRNDDEN5 are recoded into FRNDOTH1, FRNDOTH2, FRNDOTH3, FRNDOTH4, and FRNOTH5. For codes and distributions, see Appendix K: Protestant Denominations. 1. Detailed Denomination of First Person [FRNDOTH1] COLS. 1435-1437 2. Detailed Denomination of Second Person [FRNDOTH2] COLS. 1438-1440 3. Detailed Denomination of Third Person [FRNDOTH3] COLS. 1441-1443 4. Detailed Denomination of Fourth Person [FRNDOTH4] COLS. 1444-1446 5. Detailed Denomination of Fifth Person [FRNDOTH5] COLS. 1447-1449 VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1098-1100 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 429 frndoth5 WHAT IS FRIEND 5S OTHER PROT DENOM Punches 60 on FRNDDEN1, FRNDDEN2, FRNDDEN3, FRNDDEN4 and FRNDDEN5 are recoded into FRNDOTH1, FRNDOTH2, FRNDOTH3, FRNDOTH4, and FRNOTH5. For codes and distributions, see Appendix K: Protestant Denominations. 1. Detailed Denomination of First Person [FRNDOTH1] COLS. 1435-1437 2. Detailed Denomination of Second Person [FRNDOTH2] COLS. 1438-1440 3. Detailed Denomination of Third Person [FRNDOTH3] COLS. 1441-1443 4. Detailed Denomination of Fourth Person [FRNDOTH4] COLS. 1444-1446 5. Detailed Denomination of Fifth Person [FRNDOTH5] COLS. 1447-1449 VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1101-1103 ________________________________________________________________________ frndfnd1 FUND.-LIB. OF 1ST FRIEND Fundamentalism/Liberalism of Friend's Religion. VALUE LABEL 0 NAP 1 FUND 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1104 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 430 frndfnd2 FUND.-LIB. OF 2ND FRIEND Second Person's Fundamentalism/Liberalism VALUE LABEL 0 NAP 1 FUND 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1105 ________________________________________________________________________ frndfnd3 FUND.-LIB. OF 3RD FRIEND 3. Third Person's Fundamentalism/Liberalism VALUE LABEL 0 NAP 1 FUND 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1106 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 431 frndfnd4 FUND.-LIB. OF 4TH FRIEND Fourth Person's Fundamentalism/Liberalism VALUE LABEL 0 NAP 1 FUND 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1107 ________________________________________________________________________ frndfnd5 FUND.-LIB. OF 5TH FRIEND Fifth Person's Fundamentalism/Liberalism VALUE LABEL 0 NAP 1 FUND 2 MODERATE 3 LIBERAL 8 DK 9 NA-EXCLUDED Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1108 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 432 frndrac1 WHAT IS FRIEND 1S RACE Is (NAME) Asian, Black, Hispanic, White or something else? 1. Race of First Friend VALUE LABEL 0 NAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 SOMETHING ELSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1109 ________________________________________________________________________ frndrac2 WHAT IS FRIEND 2S RACE Race of Second Friend VALUE LABEL 0 NAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 SOMETHING ELSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1110 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 433 frndrac3 WHAT IS FRIEND 3S RACE Race of Third Friend VALUE LABEL 0 NAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 SOMETHING ELSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1111 ________________________________________________________________________ frndrac4 WHAT IS FRIEND 4S RACE Race of Fourth Friend VALUE LABEL 0 NAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 SOMETHING ELSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1112 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 434 frndrac5 WHAT IS FRIEND 5S RACE Race of Fifth Friend VALUE LABEL 0 NAP 1 ASIAN 2 BLACK 3 HISPANIC 4 WHITE 5 SOMETHING ELSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1113 ________________________________________________________________________ friends HAVE ANY GOOD FRIENDS FEELING CLOSE Do you have any good friends that you feel close to? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1114 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 435 numfrend ABOUT HOW MANY GOOD FRIENDS DO YOU HAVE B. About how many good friends do you have? VALUE LABEL -1 NAP 94 NO NUMUBER GIVEN 95 MANY 96 96+ 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/1115-1116 ________________________________________________________________________ numbwfrd GOOD FRIENDS WHO ARE WHITE-BLACK How many of your good friends are White/Black? VALUE LABEL -1 NAP 94 NO NUMUBER GIVEN 95 MANY 96 96+ 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/1117-1118 ________________________________________________________________________ bwfriend FRIENDS BLACK OR WHITE Are any of your good friends that you feel close to Black/White? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1119 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 436 godsells RELIGIOUS IMAGE TO SELL PRODUCTS Do you strongly approve of, somewhat approve of, neither approve of nor oppose, somewhat oppose, or strongly oppose the following public expressions of religion: A. The use of religious "images" in public advertising to sell non-religious commercial products? VALUE LABEL 0 NAP 1 STRONGLY APPROVE 2 SOMEWHAT APPROVE 3 NOT APPRVE/OPPSE 4 SOMEWHAT OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1120 ________________________________________________________________________ godsport PRO-ATHELETES GIVING THANKS TO GOD Pro-athletes giving thanks to God during sports events? VALUE LABEL 0 NAP 1 STRONGLY APPROVE 2 SOMEWHAT APPROVE 3 NOT APPRVE/OPPSE 4 SOMEWHAT OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1121 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 437 givecong GIVEN MONEY TO LOCAL CONGREGATION During the last year, approximately how much money did you and the other family members in your household contribute to each of the following: A. To your local congregation? VALUE LABEL -1 NAP 99997 REFUSED 99998 DK 99999 NA Data type: numeric Missing-data codes: -1,99997-99999 Record/columns: 1/1122-1126 ________________________________________________________________________ giverel GIVEN MONEY OTHER RELIGIOUS ORG To other religious organizations, programs, or causes? VALUE LABEL -1 NAP 99997 REFUSED 99998 DK 99999 NA Data type: numeric Missing-data codes: -1,99997-99999 Record/columns: 1/1127-1131 ________________________________________________________________________ giveoth GIVEN MONEY NON-RELIGIOUS CHARITIES To non-religious charities, organizations, or causes? VALUE LABEL -1 NAP 99997 REFUSED 99998 DK 99999 NA Data type: numeric Missing-data codes: -1,99997-99999 Record/columns: 1/1132-1136 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 438 givearts CONTRIBUTIONS TO ARTS CULTURE HUMANITIES Were any of your contributions to organizations involved in the arts, culture, or the humanities? VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1137 ________________________________________________________________________ relhrs1 HOURS RELIGIOUS ACT IN HOME In the past month, about how many hours have you spent doing religious activities in you home (such as time spent praying, meditating, reading religious books, listening to religious broadcasts, etc.)? VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/1138-1140 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 439 relhrs2 HOURS RELIGIOUS ACT OUTSIDE OF HOME In the past month, about how many hours have you spent doing religious services activities outside your home (such as attending religious services, prayer groups, Bible studies, fellowship meetings, church leadership meetings, etc.)? VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/1141-1143 ________________________________________________________________________ numcong NUMBER OF MEMBERS OF THE CONGREGATION how many members are in your congregation? VALUE LABEL -1 NAP 9998 DK 9999 NA Data type: numeric Missing-data codes: -1,9999,9998 Record/columns: 1/1144-1147 ________________________________________________________________________ kid5up HAVE CHILDREN OLDER THAN 5 Do you have any children older than 5? VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1148 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 440 pubsch ALL CHILDREN ATTEND PUB ELEM & HI SCHOOL Do/did all of your children attend public school for all of their elementary and high school education? VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1149 ________________________________________________________________________ homesch CHILDREN ATTEND HOME SCHOOLING A. Which types of school do/did your children attend? 1. Home schooling VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1150 ________________________________________________________________________ cathsch CHILDREN ATTEND CATHOLIC SCHOOL 2. Catholic school VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1151 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 441 chrissch CHILDREN ATTEND CHRISTIAN SCHOOL 3. Christian school (not Catholic) VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1152 ________________________________________________________________________ relsch CHILDREN ATTEND OTHER CHURCH SCHOOL Other church-affiliated school (not Christian) VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1153 ________________________________________________________________________ privsch CHILDREN ATTEND PRIVATE SECULAR SCHOOL Private non-religious school VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1154 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 442 othsch CHILDREN ATTEND OTHER SCHOOL Other VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1155 ________________________________________________________________________ shoprel EVER SHOPPED AROUND FOR A CHURCH As an adult, have you ever shopped around for a church or synagogue - that is, gone to different churches or synagogues or other places of worship in order to compare and decide which one you wanted to attend regularly? VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1156 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 443 shopmove SHOPPED AROUND BECAUSE HAD MOVED Thinking about the time you most recently looked for a church or synagogue, was it because you had moved? VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1157 ________________________________________________________________________ shopnum HOW MANY CHURCHES DID YOU VISIT When you most recently looked for a church or synagogue, how many different places of worship did you visit? VALUE LABEL -1 NAP 98 DONT KNOW 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/1158-1159 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 444 ownthing YOUTHFUL PROTEST IS GOOD Now I am going to read you several statements. For each one please tell me whether you agree strongly, agree, disagree, or disagree strongly. The first statement is: It is wonderful that young people today have greater freedom to protest against things they don't like and to 'do their own thing.' VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1160 ________________________________________________________________________ talkback TALKING BACK TO PARENTS IS BAD A child should never be allowed to talk back to his parents, or else he will lose respect for them. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1161 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 445 twoclass WEAK VS. STRONG People can be divided into two classes -- the weak and the strong. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1162 ________________________________________________________________________ openmind TREAT DISSENTERS WITH LENIENCY It is best to treat dissenters with leniency and an open mind, since new ideas are the lifeblood of progressive change. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1163 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 446 whypoor1 POOR SCHOOLS Now I will read a list of reasons some people give to explain why there are poor people in this country. Please tell me whether you feel each of these is very important, somewhat important, or not important in explaining why there are poor people in this country. A. Failure of society to provide good schools for many Americans. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1164 ________________________________________________________________________ whypoor2 LOOSE MORALS AND DRUNKENNESS B. Loose morals and drunkenness. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1165 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 447 whypoor3 NOT ENOUGH JOBS C. Failure of industry to provide enough jobs. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1166 ________________________________________________________________________ whypoor4 LACK OF EFFORT D. Lack of effort by the poor themselves. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 SOMEWHAT IMPORTANT 3 NOT IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1167 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 448 socdif1 INCOME DIFFERENCES AN INCENTIVE Here are different opinions about social differences in this country. Please tell me for each one whether you strongly agree, somewhat agree, somewhat disagree, or strongly disagree. A. Only if differences in income are large enough is there an incentive for individual effort. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE 3 DISAGREE 4 DISAGREE STRONGLY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1168 ________________________________________________________________________ socdif2 PAID WHAT YOU NEED B. Personal income should not be determined solely by one's work. Rather, everybody should get what he/she needs to provide a decent life to his/her family. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE 3 DISAGREE 4 DISAGREE STRONGLY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1169 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 449 socdif3 STUDY FOR YEARS TO GET HIGH PAY C. No one would study for years to become a lawyer or doctor unless they expected to earn a lot more than ordinary workers. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE 3 DISAGREE 4 DISAGREE STRONGLY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1170 ________________________________________________________________________ socdif4 DONT GIVE EQUAL CHANCE D. One of the big problems in this country is that we don't give everyone an equal chance. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE 3 DISAGREE 4 DISAGREE STRONGLY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1171 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 450 wlthwhts RICH - POOR Now I have some questions about different groups in our society. I'm going to show you a seven-point scale on which the characteristics of people in a group can be rated. In the first statement a score of 1 means that you think almost all of the people in that group are "rich." A score of 7 means that you think almost everyone in the group are "poor." A score of 4 means you think that the group is not towards one end or another, and of course you may choose any number in between that comes closest to where you think people in the group stand. 1. Where would you rate whites in general on this scale? VALUE LABEL 0 NAP 1 RICH 7 POOR 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1172 ________________________________________________________________________ wlthjews RICH - POOR 2. Jews? VALUE LABEL 0 NAP 1 RICH 7 POOR 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1173 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 451 wlthblks RICH - POOR 3. Blacks? VALUE LABEL 0 NAP 1 RICH 7 POOR 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1174 ________________________________________________________________________ wlthasns RICH - POOR 4. Asian Americans? VALUE LABEL 0 NAP 1 RICH 7 POOR 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1175 ________________________________________________________________________ wlthhsps RICH - POOR 5. Hispanic Americans? VALUE LABEL 0 NAP 1 RICH 7 POOR 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1176 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 452 wlthso RICH - POOR 6. Southern Whites? VALUE LABEL 0 NAP 1 RICH 7 POOR 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1177 ________________________________________________________________________ workwhts HARD WORKING - LAZY The second set of characteristics asks if people in the group tend to be hard-working or if they tend to be lazy. 1. Where would you rate whites in general on this scale? VALUE LABEL 0 NAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1178 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 453 workjews HARD WORKING - LAZY 2. Jews? VALUE LABEL 0 NAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1179 ________________________________________________________________________ workblks HARD WORKING - LAZY 3. Blacks? VALUE LABEL 0 NAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1180 ________________________________________________________________________ workasns HARD WORKING - LAZY 4. Asian Americans? VALUE LABEL 0 NAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1181 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 454 workhsps HARD WORKING -LAZY 5. Hispanic Americans? VALUE LABEL 0 NAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1182 ________________________________________________________________________ workso HARD WORKING - LAZY 6. Southern Whites? VALUE LABEL 0 NAP 1 HARDWORKING 7 LAZY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1183 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 455 violwhts VIOLENT - NOT VIOLENT The next set asks if people in each group tend to violence prone or if they tend not to be prone to violence? 1. Where would you rate whites in general on this scale? VALUE LABEL 0 NAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1184 ________________________________________________________________________ violjews VIOLENT - NOT VIOLENT 2. Jews? VALUE LABEL 0 NAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1185 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 456 violblks VIOLENT - NOT VIOLENT 3. Blacks? VALUE LABEL 0 NAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1186 ________________________________________________________________________ violasns VIOLENT - NOT VIOLENT 4. Asian Americans? VALUE LABEL 0 NAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1187 ________________________________________________________________________ violhsps VIOLENT - NOT VIOLENT 5. Hispanic Americans? VALUE LABEL 0 NAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1188 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 457 violso VIOLENT - NOT VIOLENT 6. Southern Whites? VALUE LABEL 0 NAP 1 VIOLENCE-PRONE 7 NOT VIOLENCE-PRONE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1189 ________________________________________________________________________ intlwhts UNINTELLIGENT -INTELLIGENT Do people in these groups tend to be unintelligent or tend to be intelligent? 1. Where would you rate whites in general on this scale? VALUE LABEL 0 NAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1190 ________________________________________________________________________ intljews UNINTELLIGENT - INTELLIGENT 2. Jews? VALUE LABEL 0 NAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1191 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 458 intlblks UNINTELLIGENT - INTELLIGENT 3. Blacks? VALUE LABEL 0 NAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1192 ________________________________________________________________________ intlasns UNINTELLIGENT - INTELLIGENT 4. Asian Americans? VALUE LABEL 0 NAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1193 ________________________________________________________________________ intlhsps UNINTELLIGENT - INTELLIGENT 5. Hispanic Americans? VALUE LABEL 0 NAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1194 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 459 intlso UNINTELLIGENT - INTELLIGENT 6. Southern Whites? VALUE LABEL 0 NAP 1 UNINTELLIGENT 7 INTELLIGENT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1195 ________________________________________________________________________ farewhts SELF SUPPORTING - LIVE OFF WELFARE Do people in these groups tend to prefer to be self- supporting or do they tend to prefer to live off welfare? 1. Where would you rate whites in general on this scale? VALUE LABEL 0 NAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1196 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 460 farejews SELF SUPPORTING - LIVE OFF WELFARE 2. Jews? VALUE LABEL 0 NAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1197 ________________________________________________________________________ fareblks SELF SUPPORTING - LIVE OFF WELFARE 3. Blacks? VALUE LABEL 0 NAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1198 ________________________________________________________________________ fareasns SELF SUPPORTING - LIVE OFF WELFARE 4. Asian Americans? VALUE LABEL 0 NAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1199 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 461 farehsps SELF SUPPORTING - LIVE OFF WELFARE 5. Hispanic Americans? VALUE LABEL 0 NAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1200 ________________________________________________________________________ fareso SELF SUPPORTING - LIVE OFF WELFARE 6. Southern Whites? VALUE LABEL 0 NAP 1 SELF-SUPPORTING 7 LIVE OFF WELFARE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1201 ________________________________________________________________________ patrwhts UNPATRIOTIC - PATRIOTIC Do people in these groups tend to be patriotic or do they tend to be unpatriotic? 1. Where would you rate whites in general on this scale? VALUE LABEL 0 NAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1202 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 462 patrjews UNPATRIOTIC - PATRIOTIC 2. Jews? VALUE LABEL 0 NAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1203 ________________________________________________________________________ patrblks UNPATRIOTIC - PATRIOTIC 3. Blacks? VALUE LABEL 0 NAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1204 ________________________________________________________________________ patrasns UNPATRIOTIC - PATRIOTIC 4. Asian Americans? VALUE LABEL 0 NAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1205 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 463 patrhsps UNPATRIOTIC - PATRIOTIC 5. Hispanic Americans? VALUE LABEL 0 NAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1206 ________________________________________________________________________ patrso UNPATRIOTIC - PATRIOTIC 6. Southern Whites? VALUE LABEL 0 NAP 1 PATRIOTIC 7 UNPATRIOTIC 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1207 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 464 livejews NEIGHBORHOOD HALF JEWISH Now I'm going to ask you about different types of contact with various groups of people. In each situation would you please tell me whether you would be very much in favor of it happening, somewhat in favor, neither in favor nor opposed to it happening, somewhat opposed, or very much opposed to it happening? A. Living in a neighborhood where half of your neighbors were Jews? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1208 ________________________________________________________________________ liveblks NEIGHBORHOOD HALF BLACK B. Living in a neighborhood where half of your neighbors were blacks? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1209 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 465 liveasns NEIGHBORHOOD HALF ASIAN B. Living in a neighborhood where half of your neighbors were Asian Americans? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1210 ________________________________________________________________________ livehsps NEIGHBORHOOD HALF HISPANIC B. Living in a neighborhood where half of your neighbors were Hispanic Americans? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1211 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 466 liveno NEIGHBORHOOD HALF NORTHERN WHITE B. Living in a neighborhood where half of your neighbors were whites raised in the North? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1212 ________________________________________________________________________ liveso NEIGHBORHOOD HALF SOUTHERN WHITE B. Living in a neighborhood where half of your neighbors were whites raised in the South? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1213 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 467 marjew CLOSE RELATIVE MARRY JEW What about having a close relative marry a Jewish person? Would you be very much in favor of it happening, somewhat in favor, neither in favor nor opposed to it happening, somewhat opposed, or very much opposed to it happening? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1214 ________________________________________________________________________ marblk CLOSE RELATIVE MARRY BLACK What about having a close relative or family member marry a black person? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1215 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 468 marasian CLOSE RELATIVE MARRY ASIAN An Asian American person? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1216 ________________________________________________________________________ marhisp CLOSE RELATIVE MARRY HISPANIC An Hispanic American person? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1217 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 469 marno CLOSE RELATIVE MARRY NO. WHITE A white raised in the North? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1218 ________________________________________________________________________ marso CLOSE RELATIVE MARRY SO. WHITE A white raised in the South? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1219 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 470 workfare WORK TO GET WELFARE Here are some proposals about welfare. I would like to know if you favor or oppose them. First, requiring that people must work in order to receive welfare. Would you say that you strongly favor it, favor it, neither favor nor oppose it, oppose it, or strongly oppose it? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1220 ________________________________________________________________________ lessfare IF LESS WELFARE MORE WILL WORK Second, reducing welfare benefits to make working for a living more attractive. VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1221 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 471 povzone TAX BREAKS FOR POOR AREAS Here are several things that the government in Washington might do to deal with the problems of poverty and unemployment. I would like you to tell me if you favor or oppose them. A. Giving businesses and industry special tax breaks for locating in poor and high unemployment areas. Would you say that you strongly favor it, favor it, neither favor nor oppose it, oppose it, or strongly oppose it? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1222 ________________________________________________________________________ povschs SPEND MORE ON POOR SCHOOLS B. Spending more money on the schools in poor neighborhods especially for pre-school and early education programs. VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1223 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 472 povcol GIVE COLLEGE AID TO POOR C. Provide special college scholarships for children from economically disadvantaged backgrounds who maintain good grades. VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1224 ________________________________________________________________________ blkzone TAX BREAKS FOR BLACK AREAS Here are several things that the government in Washington might do to deal with the problems of poverty and unemployment among Black Americans. I would like you to tell me if you favor or oppose them. A. Giving businesses and industry special tax breaks for locating in largely black areas. Would you say that you strongly favor it, favor it, neither favor nor oppose it, oppose it, or strongly oppose it? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1225 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 473 blkschs SPEND MORE ON BLACK SCHOOLS B. Spending more money on the schools in black neighborhods especially for pre-school and early education programs. VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1226 ________________________________________________________________________ blkcol GIVE COLLEGE AID TO BLACKS C. Provide special college scholarships for black children who maintain good grades. VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1227 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 474 racquota FORBID RACIAL JOB QUOTAS D. Forbidding the use of racial quotas in hiring and employment. VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 FAVOR 3 NEITHER FAVOR NOR OPPOSE 4 OPPOSE 5 STRONGLY OPPOSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1228 ________________________________________________________________________ influwht INFLUENCE OF WHITES Some people think that certain groups have too much influence in American life and politics, while other people feel that certain groups don't have as much influence as they deserve. On this card are three statements about how much influence a group might have (1. Too much influence, 2. Just about the right amount of influence, 3. Too little influence) For each group I read to you, just tell me the number of the statement that best says how you feel. A. Whites. VALUE LABEL 0 NAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1229 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 475 influjew INFLUENCE OF JEWS B. Jews. VALUE LABEL 0 NAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1230 ________________________________________________________________________ influblk INFLUENCE OF BLACKS C. Blacks. VALUE LABEL 0 NAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1231 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 476 influasn INFLUENCE OF ASIANS D. Asian Americans. VALUE LABEL 0 NAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1232 ________________________________________________________________________ influhsp INFLUENCE OF HISPANICS E. Hispanic Americans. VALUE LABEL 0 NAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1233 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 477 influso INFLUENCE OF SO. WHITES F. Southern Whites. VALUE LABEL 0 NAP 1 TOO MUCH INFLUENCE 2 RIGHT AMOUNT 3 TOO LITTLE INFLUENCE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1234 ________________________________________________________________________ hspjobs HISPANICS DISCRIMINATED IN JOBS How much discrimination is there that hurts the chances of Hispanic Americans to get good paying jobs? Would you say there is a lot, some, only a little, or none at all? VALUE LABEL 0 NAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1235 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 478 blkjobs BLACKS DISCRIMINATED IN JOBS How about for blacks? VALUE LABEL 0 NAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1236 ________________________________________________________________________ asnjobs ASIANS DISCRIMINATED IN JOBS Asian Americans? VALUE LABEL 0 NAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1237 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 479 hsphouse HISPANICS DISCRIMINATED IN HOUSING How much discrimination is there that makes it hard for Hispanic Americans to buy or rent housing wherever they want? VALUE LABEL 0 NAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1238 ________________________________________________________________________ blkhouse BLACKS DISCRIMINATED IN HOUSING How about for blacks? VALUE LABEL 0 NAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1239 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 480 asnhouse ASIANS DISCRIMINATED IN HOUSING Asian Americans? VALUE LABEL 0 NAP 1 A LOT 2 SOME 3 ONLY A LITTLE 4 NONE AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1240 ________________________________________________________________________ racwork RACIAL MAKEUP OF WORKPLACE Are the people who work where you work all white, mostly white, about half and half, mostly black, or all black? VALUE LABEL 1 ALL WHITE 2 MOST WHITE 3 ABOUT HALF/HALF 4 MOSTLY BLACK 5 ALL BLACK Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1241 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 481 affact RS FIRM HAS AFF. ACTION PROGRAM Does the place where you work have an affirmative action program or make any special effort to hire and promote minorities? VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1242 ________________________________________________________________________ discaff WHITES HURT BY AFF. ACTION What do you think the chances are these days that a white person won't get a job or promotion while an equally or less qualified black person gets one instead? Is this very likely, somewhat likely, or not very likely to happen these days? VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1243 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 482 discwhy1 PERSONALLY EXPERIENCED IT Do you feel this way because of something that happened to you personally, because it happened to a relative, family member or close friend, because you saw it occurring at work, or because you have heard about it from the media or other sources? 1. Something that happened to you personally? VALUE LABEL 0 NAP 1 MENTIONED 2 NOT MENTIONED 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1244 ________________________________________________________________________ discwhy2 HAPPENED TO SOMEONE CLOSE 2. Something that happened to a relative, family member, or a close friend? VALUE LABEL 0 NAP 1 MENTIONED 2 NOT MENTIONED 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1245 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 483 discwhy3 HAPPENED AT WORK 3. Saw it occurring at work. VALUE LABEL 0 NAP 1 MENTIONED 2 NOT MENTIONED 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1246 ________________________________________________________________________ discwhy4 HEARD ABOUT IT IN MEDIA 4. Heard about it on the media. VALUE LABEL 0 NAP 1 MENTIONED 2 NOT MENTIONED 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1247 ________________________________________________________________________ discwhy5 HEARD ABOUT IT ELSEWHERE 5. Heard about it from another source. VALUE LABEL 0 NAP 1 MENTIONED 2 NOT MENTIONED 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1248 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 484 discwhy6 OTHER SOURCES 6. Other (SPECIFY). VALUE LABEL 0 NAP 1 GENERAL,NO SOURCE 2 ALL OF THE ABOVE 3 THE LAW 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1249 ________________________________________________________________________ genejob SHOULD EMPLOYERS GIVE GENETIC TESTS Here are some questions about a new scientific technology called "genetic screening." Using genetic screening, it is now possible to tell whether someone has inherited a tendency to develop certain cancers and certain forms of heart disease. These tests do not mean that person will always develop the disease, but only that he or she may do so, depending on other conditions. Should employers have the right to give these genetic tests to people who are applying for a job, or shouldn't they have that right? VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1250 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 485 genehire EMPLOYERS' RIGHT TO HIRE BY GENETIC TESTS Should employers have the right not to hire workers if tests show they have an inherited tendency to develop certain forms of cancer or heart disease, or should they not have the right? VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1251 ________________________________________________________________________ genecanx EMPLOYER TEST CANCER OR SAFE WORKPLACE Suppose workers will be exposed to some cancer-causing materials on the job. In that case, should employers have the right not to hire workers whose tests show they have an inherited tendency to develop certain forms of cancer, or should they be required to clean up the workplace so it is safe for everyone? VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1252 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 486 genecany EMPLOYERS' RIGHT TO HIRE BY CANCER TESTS Suppose workers will be exposed to some cancer-causing materials on the job. In that case, should employers have the right not to hire workers whose tests show they have an inherited tendency to develop certain forms of cancer, or should they not have that right? VALUE LABEL 0 NAP 1 SHOULD 2 SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1253 ________________________________________________________________________ genegets EMPLOYER VS. EMPLOYEE ON ACCESS RIGHT TO RESULTS Suppose a genetic screening test for certain forms of heart disease is made available by an employer to workers who want to take it. Who do you think should have control over access to the test results -- the worker or the employer? VALUE LABEL 0 NAP 1 EMPLOYER SHOULD 2 WORKER SHOULD 3 BOTH - VOLUNTARY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1254 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 487 profits1 WHETHER MANAGEMENT ONLY CARE ABOUT PROFIT To what extent do you agree or disagree with the following statements? Please tell me whether you strongly agree, agree, disagree, or strongly disagree: A. The way most companies work, the only thing management cares about is profits, regardless of what workers want or need. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1255 ________________________________________________________________________ profits2 SHOULD CO. PAY WORKERS MORE THAN SHAREHOLDERS B. Corporations should pay more of their profits to workers and less to shareholders. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1256 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 488 unpower UNIONS IN THIS COUNTRY HAVE TOO LITTLE POWER C. Unions in this country have too little power. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1257 ________________________________________________________________________ unprog UNIONS JUST BLOCK ECONOMIC PROGRESS D. For the most part, unions just stand in the way of economic progress in this country. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1258 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 489 outofbiz THE ORGANIZATION WENT OUT OF BUSINESS In the last five years, did any of the following things happen to an organization that you worked for? A. The organization went out of business or closed down? VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1259 ________________________________________________________________________ merged THE ORG. WAS MERGED, TAKEN OVER B. The organization was merged, taken over, or changed ownership? VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1260 ________________________________________________________________________ reorg THERE WAS A MAJOR REORGANIZATION C. There was a major reorganization? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1261 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 490 orgfin R'S FINANCIAL SITUATION AFTER ORG. CHANGES As a result of these organizational changes, would you say that your financial situation is now much better, better, worse, much worse, or have these things not affected your finances? VALUE LABEL 0 NAP 1 MUCH BETTER 2 BETTER 3 WORSE 4 MUCH WORSE 5 NO EFFECT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1262 ________________________________________________________________________ wrkyears # YEARS YOU HAVE WORKED FOR PAY SINCE WERE 16 Since you were 16 years old, about how many years have you worked for pay? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/1263-1264 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 491 evunemp EVER BEEN UNEMPLOYED TWO WEEKS + Since your first full-time job have you ever been unemployed and looking for work for as long as two weeks? VALUE LABEL 0 NAP 1 YES 2 NO 7 NEVER FULL-TIME 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1265 ________________________________________________________________________ numunemp HOW MANY TIMES UNEMPLOYED MORE THAN TWO WEEKS About how many different times have you been unemployed and looking for work for as long as two weeks? VALUE LABEL 0 NAP 96 96 OR MORE 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1266-1267 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 492 totunemp TOTAL TIMES UNEMPLOYED Counting all these times, in total were you unemployed and looking for work for... VALUE LABEL 0 NAP 1 2-8 WEEKS 2 8 WEEK - 6 MON. 3 6-12 MON. 4 > 1 YEAR 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1268 ________________________________________________________________________ empyears YEARS WORKED FOR YOUR PRESENT EMPLOYER For about how many years altogether have you worked for your present employer (IF SELF-EMPLOYED: current organization)? VALUE LABEL -1 NAP 99.99 NA Data type: numeric Decimals: 2 Missing-data codes: -1.00,99.98,99.99 Record/columns: 1/1269-1272 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 493 fndjob1 HEARD JOB FROM ONE ALREADY WORKED THERE There are many ways people hear about jobs--such as from ads, employment agencies, or from other people. Could you tell me how you found out about work at your present employer (IF SELF-EMPLOYED: current organization)? Please tell me all the ways that you found out about this job. A. From someone who already worked there. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1273 ________________________________________________________________________ fndjob2 HEARD JOB FROM RELATIVES B. From one of my relatives. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1274 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 494 fndjob3 HEARD JOB FROM FRIENDS C. From a friend. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1275 ________________________________________________________________________ fndjob4 HEARD JOB FROM ACQUAINTANCES D. From an aquaintance. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1276 ________________________________________________________________________ fndjob5 HEARD JOB FROM NEWSPAPER AD E. From a newspaper ad. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1277 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 495 fndjob6 HEARD JOB THROUGH EMPLOYMENT AGENCY F. Through an employment agency or placement office. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1278 ________________________________________________________________________ fndjob7 HEARD JOB FROM RECRUITER FOR THIS EMPLOYER G. From a recruiter for this employer. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1279 ________________________________________________________________________ fndjob8 HEARD JOB JUST CAME HERE AND ASKED FOR WORK H. I just came here and asked for work. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1280 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 496 fndjob9 HEARD JOB OTHER (SPECIFY) I. Other (SPECIFY). VALUE LABEL 0 NAP 1 UNION 2 SCHOOL 3 SELF-EMPLOYED,CREATED JOB 4 ANNOUNCEMENT,NEWSPAPER 7 OTHER 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1281 ________________________________________________________________________ intltest BEFORE GOT THE JOB TOOK AN INTELLEGENCE TEST When you started to work for your present employer (IF SELF-EMPLOYED: current organization), did you... A. Take an intelligence test or personality assessment? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1282 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 497 skiltest BEFORE GOT THE JOB TOOK A SKILL TEST B. Take a skills or proficiency test? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1283 ________________________________________________________________________ drugtest PEOPLE WITH SECRET SHOULD BE SUBJECT TO DRUG TEST C. Take a drug or alcohol test? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1284 ________________________________________________________________________ physical BEFORE GOT THE JOB TOOK A PHYSICAL TEST D. Take a physical examination? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1285 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 498 ltrsref SUPPLY LETTERS OF REFERENCE E. Supply letters of reference? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1286 ________________________________________________________________________ samejob CURRENT JOB SAME OR DIFFERENT FROM FIRST JOB When you first came to work for your present employer (IF SELF-EMPLOYED: current organization), was it roughly in the job you have now or was it in a different job? VALUE LABEL 0 NAP 1 JOB HAVE NOW 2 DIFFERENT JOB 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1287 ________________________________________________________________________ jobyears FOR HOW LONG HAVE YOU HAD YOUR PRESENT JOB For about how long have you had your present job? VALUE LABEL -1 NAP 99.99 NA Data type: numeric Decimals: 2 Missing-data codes: -1.00,99.98,99.99 Record/columns: 1/1288-1291 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 499 thisjob1 HEARD JOB FROM A NOTICES POSTED MY WORKPLACE Which of the answers on this card describe how you heard about your present job with your employer (IF SELF-EMPLOYED: current organization)? Please tell me all of the ways that you found out about this job. A. A notice was posted or circulated at my work place. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1292 ________________________________________________________________________ thisjob2 HEARD JOB THROUGH MY UNION B. Through my union. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1293 ________________________________________________________________________ thisjob3 HEARD JOB FROM MY SUPERVISOR C. From my supervisor. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1294 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 500 thisjob4 HEARD JOB FROM ONE OF MY COWORKERS D. From one of my coworkers. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1295 ________________________________________________________________________ thisjob5 HEARD JOB I NEAR THE TOP OF A SENIORITY LIST E. I was at or near the top of a seniority list. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1296 ________________________________________________________________________ thisjob6 HEARD JOB I WAS ASKED TO TAKE THE NEW JOB F. I was asked to take the new job. VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1297 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 501 thisjob7 HEARD JOB OTHERS (SPECIFY) G. Other (SPECIFY). VALUE LABEL 0 NAP 1 RELATIVE 2 FRIEND 3 PERSONNEL 7 OTHER 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1298 ________________________________________________________________________ promotng PROCEDURES FOR PROMOTION Are there regular procedures for promoting people in your job to a higher level? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1299 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 502 promoted EVER PROMOTED BY CURRENT EMPLOYER Have you received any promotions while working for your present employer (IF SELF-EMPLOYED: current organization)? VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1300 ________________________________________________________________________ numpromo # PROMOTIONS HAVE YOU RECEIVED How many promotions have you received? VALUE LABEL 0 NAP 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1301 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 503 imppromo IMPORTANCE OF THE OPPORTUNITY TO BE PROMOTED How important to you is the opportunity to be promoted? Is it... VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 5 DOES NOT APPLY, VOLUNTEERED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1302 ________________________________________________________________________ futpromo HOW LIKELY YOU WILL BE PROMOTED NEXT FIVE YEARS In the next five years, how likely are you to be promoted? Would you say very likely, likely, not very likely, or not likely at all? VALUE LABEL 0 NAP 1 VERY LIKELY 2 LIKELY 3 NOT VERY LIKELY 4 NOT LIKELY AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1303 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 504 sexpromo SEX MAKES YOUR PROMOTION DIFFERENT Do you think your being a (man/woman) makes your promotion opportunities better or worse? VALUE LABEL 0 NAP 1 BETTER 2 WORSE 3 NO EFFECT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1304 ________________________________________________________________________ racpromo ETHNIC BACKGROUND MAKES YOUR PROMOTION DIFFERNT Do you think your race or ethnic background makes your promotion opportunities better or worse? VALUE LABEL 0 NAP 1 BETTER 2 WORSE 3 NO EFFECT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1305 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 505 advances HAVE YOU ADVANCED, SAME LEVEL OR LOST Since your first full-time job with this organization, have you advanced rapidly, made steady advances, stayed at about the same level or lost some ground? VALUE LABEL 0 NAP 1 ADVANCED RAPIDLY 2 STEADY ADVANCE 3 SAMELEVEL 4 LOST SOME GROUND 7 1ST JOB WITH ORG. 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1306 ________________________________________________________________________ jobcntrl WHO MAKES DECISION FOR YOUR JOB I'm going to read four statements. Please tell me which one best describes your job: 1. Someone else decides both what I do and how I do it. 2. Someone else decides what I do, but I decide how I do it. 3. I have some freedom in deciding what I do and how I do it. 4. I am basically my own boss. VALUE LABEL 0 NAP 1 OTHER DECIDE WHAT AND HOW I DO 2 OTHER DECIDE WHAT BUT NOT HOW 3 I DECIDE SOME WHAT AND HOW I DO 4 I AM MY OWN BOSS 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1307 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 506 wrkindep I CAN WORK INDEPENDENTLY How true would you say each of the following statements is about your job? Would you say very true, true, somewhat true, or not true at all: A. I can work independently. VALUE LABEL 0 NAP 1 VERY TRUE 2 TRUE 3 SOMEWHAT TRUE 4 NOT TRUE AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1308 ________________________________________________________________________ lottosay I HAVE A LOT TO SAY ON MY JOB B. I have a lot to say over what happens on my job. VALUE LABEL 0 NAP 1 VERY TRUE 2 TRUE 3 SOMEWHAT TRUE 4 NOT TRUE AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1309 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 507 idecide MY JOB ALLOWS ME MAKE PART DECISIONS C. My job allows me to take part in making decisions that affect my work. VALUE LABEL 0 NAP 1 VERY TRUE 2 TRUE 3 SOMEWHAT TRUE 4 NOT TRUE AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1310 ________________________________________________________________________ automatn MY JOB IS CONTROLLED BY MY MACHINE D. How I do my job is controlled by the machines I work with. VALUE LABEL 0 NAP 1 VERY TRUE 2 TRUE 3 SOMEWHAT TRUE 4 NOT TRUE AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1311 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 508 monitred COMPUTERS MONITOR MY JOB PERFORMANCE E. Computers monitor my job performance. VALUE LABEL 0 NAP 1 VERY TRUE 2 TRUE 3 SOMEWHAT TRUE 4 NOT TRUE AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1312 ________________________________________________________________________ offsup DO YOU SUPERVISE THE WORK OF OTHER EMPLOYEES As an official part of your main job, do you supervise the work of other employees or tell otehr employees what work to do? VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1313 ________________________________________________________________________ yousup HOW MANY PEOPLE DO YOU SUPERVISE DIRECTLY How many people do you supervise directly? VALUE LABEL 0 NAP 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1314-1316 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 509 supothrs ANY PEOPLE SUPERVISED BY YOU SUPERVISE OTHERS Do any of these people supervise anyone else? VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1317 ________________________________________________________________________ levels HOW MANY LEVELS OF SUPERVISION BENEATH YOU In total, how many levels of supervision are there beneath yours (including the one immediately under you)? VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1318-1319 ________________________________________________________________________ totsup HOW MANY PEOPLE RESPONSIBLE TO YOU Counting all of these levels, how many people are responsible to you both directly and indirectly? VALUE LABEL 0 NAP 9998 DK 9999 NA Data type: numeric Missing-data codes: 0,9998,9999 Record/columns: 1/1320-1323 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 510 supduty1 YOU TRAIN EMPLOYEES SAFE USE EQUIPMENT Here is a card listing 7 different kinds of oversight activities. Which ones do you do as part of your supervisory responsibilities? Please mention all that apply. A. Train employees in the safe use of equipment or tools. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1324 ________________________________________________________________________ supduty2 YOU TRAIN EMPLOYEES IN OTHER WAYS B. Train employees in other ways. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1325 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 511 supduty3 YOU ORGANIZE SCHEDULES OR TASKS C. Organize schedules or tasks. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1326 ________________________________________________________________________ supduty4 YOU DEVISE NEW WAYS OF DOING TASKS D. Devise new ways of doing tasks. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1327 ________________________________________________________________________ supduty5 YOU CHECK WORKERS' PROGRESS,ATTENDANCE E. Check workers' progress or attendance. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1328 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 512 supduty6 YOU EVALUATE JOB PERFORMANCE F. Evaluate job performance. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1329 ________________________________________________________________________ supduty7 YOU TAKE PROMOTIONS OR DISCIPLINARY ACTIONS G. Recommend promotions or disciplinary actions. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1330 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 513 othduty1 YOU TRAIN EMPLOYEES SAFE USE EQUIP. NOT SUPERVISE (One the card you have are/Here is a card listing) 7 different kinds or work activities. Which ones do you do with employees whom you do not officially supervise? Please mention all that apply. A. Train employees in the safe use of equipment or tools. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1331 ________________________________________________________________________ othduty2 YOU TRAIN EMPLOYEES IN OTHER WAYS, NOT SUPERVISE B. Train employees in other ways. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1332 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 514 othduty3 YOU ORGANIZE SCHEDULES OR TASKS, NOT SUPERVISE C. Organize schedules or tasks. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1333 ________________________________________________________________________ othduty4 YOU DEVISE NEW WAYS OF DOING TASKS, NOT SUPERVISE D. Devise new ways of doing tasks. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1334 ________________________________________________________________________ othduty5 YOU CHECK PROGRESS OR ATTENDANCE, NOT SUPERVISE E. Check workers' progress or attendance. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1335 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 515 othduty6 YOU EVALUATE JOB PERFORMANCE, NOT SUPERVISE F. Evaluate job performance. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1336 ________________________________________________________________________ othduty7 YOU PROMOT OR DISCIPLINe ACTIONS, NOT SUPERVISE G. Recommend promotions or disciplinary actions. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1337 ________________________________________________________________________ orgmoney PARTICIPATE IN DECISIONS ABOUT ORG'S MONEY In the past year, did you participate in decisions about spending any of your organization's money as part of your job? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1338 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 516 totmoney HOW MUCH MONEY IN THE LARGEST OF THESE DECISIONS About how much money was involved in the largest of these decision? VALUE LABEL 0 NAP 9999996 $9999996 OR MORE 9999998 DK 9999999 NA Data type: numeric Missing-data codes: 0,9999998,9999999 Record/columns: 1/1339-1345 ________________________________________________________________________ youmoney LARGEST DECISION IN WHICH YOU HAD THE FINAL SAY About how much money was involved in the largest decision in which you had the final say? VALUE LABEL 0 NAP 9999996 $9999996 OR MORE 9999998 DK 9999999 NA Data type: numeric Missing-data codes: 0,9999998,9999999 Record/columns: 1/1346-1352 ________________________________________________________________________ jobjudge SOMEONE EVALUATE YOUR PERFORMANCE REGULARLY Does someone formally evaluate your job performance on a regular basis? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1353 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 517 quantity HOW EASY YOUR SUPERVISOR KNOW HOW MUCH YOU DO How easy or hard would you say it is for your supervisor to know how much work a person in a job like yours does in a week? Is it very easy, somewhat easy, somewhat hard, or very hard? VALUE LABEL 0 NAP 1 VERY EASY 2 SOMEWHAT EASY 3 SOMEWHAT HARD 4 VERY HARD 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1354 ________________________________________________________________________ quality HOW EASY YOUR SUPERVISOR KNOW HOW GOOD YOU ARE How easy or hard would you say it is for your supervisor to evaluate the quality of the work that is done by a person in a job like yours? Is it very easy, somewhat easy, somewhat hard, or very hard? VALUE LABEL 0 NAP 1 VERY EASY 2 SOMEWHAT EASY 3 SOMEWHAT HARD 4 VERY HARD 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1355 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 518 wrkwell HOW WELL YOU COMPARE TO PEOPLE DO SAME JOB Compared to other people who do the same or similar kind of work that you do, how well would you say you do your job? Would you say much better, somewhat better, about the same, somewhat worse or much worse? VALUE LABEL 0 NAP 1 MUCH BETTER 2 SOMEWHAT BETTER 3 ABOUT SAME 4 SOMEWHAT WORSE 5 MUCH WORSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1356 ________________________________________________________________________ wrkmuch HOW MUCH YOU COMPARE TO PEOPLE DO SAME JOB Compared to other people who do the same or similar kind of work that you do, how much work would you say you do? Would you say much better, somewhat better, about the same, somewhat worse or much worse? VALUE LABEL 0 NAP 1 MUCH MORE 2 SOMEWHAT MORE 3 ABOUT SAME 4 SOMEWHAT LESS 5 MUCH LESS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1357 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 519 imatter SUCCESS OF MY ORG. DEPENDS LOT ON HOW WELL I DO Please tell me how much you agree or disagree with the following statements. Would you say that you strongly agree, agree, disagree, or strongly disagree? A. The success of my organization depends a lot on how well I do my job. do you... VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1358 ________________________________________________________________________ helporg I WILLING WORK HARDER THAN I HAVE TO TO HELP ORG. B. I am willing to work harder than I have to in order to help this organization succeed. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1359 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 520 notloyal I FEEL VERY LITTLE LOYALTY TO THIS ORG. C. I feel very little loyalty to this organization. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1360 ________________________________________________________________________ stayorg1 WOULD TAKE ANY JOB TO KEEP WORKING FOR THIS ORG. D. I would take almost any job to keep working for this organization. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1361 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 521 samevals MY VALUES AND THE ORG.'S VALUES ARE VERY SIMILAR E. I find that my values and the organization's values are very similar. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1362 ________________________________________________________________________ proudorg PROUD TO BE WORKING FOR THIS ORG. F. I am proud to be working for this organization. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1363 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 522 stayorg2 TURN DOWN ANOTHER JOB FOR PAY TO STAY THIS ORG. G. I would turn down another job for more pay in order to stay with this organization. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1364 ________________________________________________________________________ noticed PEOPLE USUALLY NOTICE WHEN I DO MY JOB WELL H. People usually notice when I do my job well. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1365 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 523 chngeorg HOW LIKELY I'LL TRY TO FIND JOB IN ANOTHER ORG. All in all, how likely is it that you will try hard to find a job with another organization within the next 12 months? Would you say you are not at all likely, somewhat likely, or very likely? VALUE LABEL 0 NAP 1 NOT AT ALL LIKELY 2 SOMEWAHT LIKELY 3 VERY LIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1366 ________________________________________________________________________ othpay GET COMMISSIONS, BONUSES, TIPS FROM MAIN JOB Do you receive any of the earnings from your main job in the form of commissions, bonuses, tips, or overtime? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1367 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 524 raiseall ALL WORKERS REGARDLESS OF PERFORMANCE GOT RAISE Think about how pay raises are given where you work. Please tell me all statements that apply. Do you feel that raises are given to... A. All workers regardless of performance. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1368 ________________________________________________________________________ raisehrd WORKERS WHO WORK HARD AND PERFORM WELL GOT RAISE B. Those workers who work hard and perform well. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1369 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 525 raisefav WORKERS HAVE FAVORED RELATION TO BOSS GOT RAISE C. Those workers with some favored relationship with the boss. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1370 ________________________________________________________________________ fringe1 MEDICAL OR HOSPITAL INSURANCE I am going to read a list of fringe benefits that workers sometimes get in addition to their wages. Whether you receive it or not, please tell me whether you are eligible to receive each fringe benefit. A. Medical or hospital insurance. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1371 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 526 fringe2 DENTAL CARE BENEFITS B. Dental care benefits. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1372 ________________________________________________________________________ fringe3 LIFE INSURANCE C. Life insurance. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1373 ________________________________________________________________________ fringe4 SICK LEAVE WITH FULL PAY D. Sick leave with full pay. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1374 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 527 fringe5 MATERNITY LEAVE WITH FULL RE-EMPLOYMENT RIGHTS E. Maternity or paternity leave with full re- employment rights. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1375 ________________________________________________________________________ fringe6 FLEXIBLE HOURS, OR FLEXTIME SCHEDULING F. Flexible hours, or flextime schedi\uling. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1376 ________________________________________________________________________ fringe7 CASH OR STOCK BONUSES FOR PERFORMANCE OR MERIT G. Cash or stock bonuses for performance or merit. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1377 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 528 fringe8 A PENSION OR RETIREMENT PROGRAM H. A pension or retirement program. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1378 ________________________________________________________________________ fringe9 PROFIT SHARING OR STOCK OPTION PROGRAM I. Profit sharing or stock option program. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1379 ________________________________________________________________________ fringe10 INFORMATION ABOUT CHILD CARE SERVICES IN COMPANY J. Information about child care services in the community. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1380 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 529 fringe11 ASSISTANCE WITH THE COSTS OF DAY CARE FOR CHILDREN K. Assistance with the costs of day care for children. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1381 ________________________________________________________________________ jobvshme HOW OFTEN YOUR FAMILY INTERFERED WITH YOUR JOB In the last few years, how often would you say that your family or household responsibilities have interfered with your ability to devote full attention to your job? Does this happen frequently, sometimes, seldom, or never? VALUE LABEL 0 NAP 1 FREQUENTLY 2 SOMETIMES 3 SELDOM 4 NEVER 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1382 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 530 unvote WOULD YOU VOTE FOR OR AGAINST HAVING A UNION If an election were held with secret ballots, would you vote for or against having a union represent you? VALUE LABEL 0 NAP 1 FOR 2 AGAINST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1383 ________________________________________________________________________ unmanrel RELATIONS BETWEEN MANAGEMENT AND WORKERS In general how would you describe relations in your work place between management and employees? would you say they are very good, quite good, neither good not bad, quite bad, or very bad? VALUE LABEL 0 NAP 1 VERY 2 QUITE GOOD 3 NEITHER GOOD NOR BAD 4 QUITE BAD 5 VERY BAD 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1384 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 531 cowrkrel RELATIONS BETWEEN COWORKERS In general how would you describe relations in your work place between coworkers/colleagues? VALUE LABEL 0 NAP 1 VERY 2 QUITE GOOD 3 NEITHER GOOD NOR BAD 4 QUITE BAD 5 VERY BAD 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1385 ________________________________________________________________________ schoolng IMPORTANCE FORMAL SCHOOL FOR YOU JOB How important were each of the following as sources of the skills that you use in your job? Would you say very important, important, somewhat important, or not at all important? A. Formal schooling. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1386 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 532 training IMPORTANCE OF ON-THE-JOB TRAINING FOR YOU JOB B. Formal on-the-job training where you work now. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1387 ________________________________________________________________________ learning IMPORTANCE OF LEARNING FROM CO-WORKERS FOR YOU JOB C. Informal learning from co-workers or supervisors where you work now. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1388 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 533 exptrain IMPORTANCE OF DIFFERENT EMPLOYER TRAINING FOR JOB D. Experience or training at a different employer. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1389 ________________________________________________________________________ wherewrk HOW DO YOU DESCRIBE WHERE YOU WORK When you are doing you job, do you usually do it in one place (like the same street address) or in several different places? VALUE LABEL 0 NAP 1 SOME PLACE 2 DIFFERENT 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1390 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 534 findout CAN FIND OUT WHERE YOU WILL BE WORKING On any given day, is there some place where you find out where you will be working? VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1391 ________________________________________________________________________ baseofop YOU HAVE BASE OF OPERATIONS Do you have any kind of base of operations at all? VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1392 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 535 splocnum # OF WORKERS AT THE LOCATION YOUR SPOUSE WORKS About how many people work at the location where your (husband/wife) works? Count part-time as well as full- time employees in all areas, departments and buildings. VALUE LABEL 0 NAP 1 1-9 2 10-49 3 50-99 4 100-499 5 500-999 6 1,000-1,999 7 2,000+ 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1393 ________________________________________________________________________ standup STAND UP FOR YOUR OWN OPINION Some people think that it's important to stand up for your own opinion even if it makes others around you uncomfortable. Others think that it's better to keep your views to yourself if they would make others around you uncomfortable. Which position comes closer to your view? VALUE LABEL 0 NAP 1 SHOULD STAND UP REGARDLESS 2 KEEP IT YOURSELF IF OFFEND OTHERS 3 NEITHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1394 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 536 selfirst TAKE CARE OF YOURSELF FIRST BEFORE OTHERS As I read each of the following statements, please tell me whether you strongly agree, agree, neither agree or disagree, disagree, or strongly disagree with it. A. You have to take care or yourself first, and if you have any energy left over, then help other people. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1395 ________________________________________________________________________ richpoor OK TO GET RICH EVEN IF OTHERS POOR B. People should be allowed to accumulate as much wealth as they can even if some make millions while others live in poverty. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1396 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 537 opoutcme SHOULD AMER PROMOTE EQ OPPTY OR EQ OUTCOMES? Some people think America should promote equal opportunity for all, that is, allowing everyone to compete for jobs and wealth on a fair and even basis. Other people think America should promote equal outcomes, that is, insuring that everyone has a decent standard of living and that there are only small differences in wealth and income between the top and bottom in society. Which do you favor: promoting equal opportunity or promoting equal outcomes? VALUE LABEL 0 NAP 1 PROMOTE EQUAL OPPOTUNITY 2 PROMOTE EQUAL OUTCOMES 3 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1397 ________________________________________________________________________ united AMERICANS UNITED OR DIVIDED ON VALUES There is a lot of discussion today about whether Americans are divided or united. Some say that Americans are united and in agreement about the most important values. Others think that Americans are greatly divided when it comes to the most important values. What is your view about this? VALUE LABEL 0 NAP 1 AMERICAN ARE UNITED 2 AMERICAN ARE DIVIDED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1398 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 538 obtohelp OBLIGATION TO CARE FOR ILL PARENT OR SPOUSE? Sometimes people are asked to make great sacrifices for others in their family by caring for an elderly parent or a spouse who is seriously ill or injured. When someone is asked to give such care, is it their obligation to do so, or should they give care only if they really want to? VALUE LABEL 0 NAP 1 IT IS OBLGATION 2 ONLY IF THEY WANT TO 3 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1399 ________________________________________________________________________ lfegod LIFE OUTCOME DECIDED BY GOD I'm going to read some statements that give reasons why a person's life turns out will or poorly. As I read each one, tell me whether you think it is very important, important, somewhat important, or not at all important for how somebody's life turns out? A. Such things are decided by God. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1400 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 539 lfegenes SOME WITH BETTER GENES THAN OTHERS B. Some people are born with better genes than others. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1401 ________________________________________________________________________ lfesocty SOCIETY GIVES SOME HEAD START & HOLDS BACK OTHERS C. Society gives some people a head start and holds others back. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1402 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 540 lfehrdwk SOME PEOPLE WORK HARDER THAN OTHERS D. Some people use their will power and work harder than others. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1403 ________________________________________________________________________ lfechnce LIFE IS A MATTER OF CHANCE E. It's just a matter of chance. VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1404 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 541 bigband LIKE OR DISLIKE BIGBAND MUSIC I'm going to read you a list of some types of music. Can you tell me which of the statements on this card comes closest to your feeling about each type of music. Let's start with big band music. Do you like it very much, like it, have mixed feelings, dislike it, dislike it very much, or is this a type of music that you don't know much about? A. Big Band/Swing. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1405 ________________________________________________________________________ blugrass LIKE OR DISLIKE BLUEGRASS MUSIC B. Bluegrass. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1406 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 542 country LIKE OR DISLIKE COUNTRY WESTERN MUSIC C. Country/Western. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1407 ________________________________________________________________________ blues LIKE OR DISLIKE BLUES OR R AND B MUSIC D. Blues or Rhythm and Blues. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1408 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 543 musicals LIKE OR DISLIKE BROADWAY MUSICALS E. Broadway musicals/show tunes. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1409 ________________________________________________________________________ classicl LIKE OR DISLIKE CLASSICAL MUSIC F. Classical music-symphony and chamber. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1410 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 544 folk LIKE OR DISLIKE FOLK MUSIC G. Folk music. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1411 ________________________________________________________________________ gospel LIKE OR DISLIKE GOSPEL MUSIC H. Gospel music. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1412 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 545 jazz LIKE OR DISLIKE JAZZ I. Jazz. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1413 ________________________________________________________________________ latin LIKE OR DISLIKE LATIN MUSIC J. Latin/Mariachi/Salsa VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1414 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 546 moodeasy LIKE OR DISLIKE EASY LISTENING MUSIC K. Mood/easy listening. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1415 ________________________________________________________________________ newage LIKE OR DISLIKE NEW AGE MUSIC L. New age/space music. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1416 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 547 opera LIKE OR DISLIKE OPERA M. Opera. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1417 ________________________________________________________________________ rap LIKE OR DISLIKE RAP MUSIC N. Rap music. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1418 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 548 reggae LIKE OR DISLIKE REGGAE MUSIC O. Reggae. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1419 ________________________________________________________________________ conrock LIKE OR DISLIKE CONTEMPORARY ROCK MUSIC P. Contemporary pop/rock. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1420 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 549 oldies LIKE OR DISLIKE OLDIES ROCK MUSIC Q. Oldies rock. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1421 ________________________________________________________________________ hvymetal LIKE OR DISLIKE HEAVY METAL MUSIC R. Heavy metal. VALUE LABEL 0 NAP 1 LIKE VERY MUCH 2 LIKE IT 3 MIXED FEELINGS 4 DISLIKE IT 5 DISLIKE VERY MUCH 8 DK MUCH ABOUT IT 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1422 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 550 attsprts ATTENDED SPORTS EVENT IN LST YR Next I'd like to ask about some leisure or recreational activities that people do during their free time. As I read each activity, can you tell me if it is something you have done in the past twelve months? Let's begin with attending an amateur or professional sports event. Did you do that within the past twelve months? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1423 ________________________________________________________________________ visitart VISITED ART MUSEUM OR GALLERY IN LST YR B. Visit an art museum or gallery. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1424 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 551 makeart MADE ART OR CRAFT OBJECT IN LST YR C. Make art or craft objects such as pottery, woodworking, quilts, or paintings. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1425 ________________________________________________________________________ autorace ATTENDED AUTO RACE IN LST YR D. Go to an auto, stock car, or motorcycle race. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1426 ________________________________________________________________________ camping WENT CAMPING IN LST YR E. Go camping, hiking, or canoeing. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1427 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 552 garden GREW VEGETABLES OR FLOWERS IN GARDEN IN LST YR F. Grow vegetables, flowers, or shrubs in a garden. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1428 ________________________________________________________________________ dance ATTENDED DANCE PERF IN LST YR G. Go to a live ballet or dance performance, not including school performances. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1429 ________________________________________________________________________ gomusic ATTENDED CLASSICAL OR OPERA IN LST YR H. Go to a classical music or opera performance, not including school performances. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1430 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 553 huntfish WENT HUNTING OR FISHING IN LST YR I. Go hunting or fishing. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1431 ________________________________________________________________________ perform PERFORMED MUSIC, DANCE, THEATER IN LST YR J. Take part in a music, dance, or theatrical performance. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1432 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 554 dosports PLAYED SPORTS IN LST YR K. Participate in any sports activity such as softball, basketball, swimming, golf, bowling, skiing, or tennis. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1433 ________________________________________________________________________ seemovie WENT TO A MOVIE IN LST YR L. Go out to see a movie in a theater. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1434 ________________________________________________________________________ usevcr USED VCR IN LST YR M. Record a TV program so you could watch it later. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1435 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 555 plymusic PLAYED A MUSICAL INSTRUMENT IN LST YR N. Play a musical instrument like a piano, guitar, or violin. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1436 ________________________________________________________________________ tvshows HOW OFTEN R WATCHES TV DRAMA OR SITCOMS I'll now ask about some different kinds of television shows. Would you tell me how often you watch prime- time drama or situation comedy programs? Would you say every day, several times a week, several times a month, rarely, or never? VALUE LABEL 0 NAP 1 DAILY 2 SEVRL DAYS IN WEEK 3 SEVRL DAYS IN MONTH 4 RARELY 5 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1437 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 556 tvnews HOW OFTEN R WATCHES TV NEWS B. World or national news programs. VALUE LABEL 0 NAP 1 DAILY 2 SEVRL DAYS IN WEEK 3 SEVRL DAYS IN MONTH 4 RARELY 5 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1438 ________________________________________________________________________ tvpbs HOW OFTEN R WATCHES PUBLIC TV SHOWS C. Programs shown on public television. VALUE LABEL 0 NAP 1 DAILY 2 SEVRL DAYS IN WEEK 3 SEVRL DAYS IN MONTH 4 RARELY 5 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1439 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 557 judgeart ONLY A FEW PEOPLE CAN JUDGE ART I'm going to read several statements. After I read each one, please tell me whether you strongly agree, agree, disagree, or strongly disagree with it. For example,... A. Only a few people have the knowledge and ability to judge excellence in the arts. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1440 ________________________________________________________________________ trstprof TRUST PROFS JUDGEMENTS IN ASSIGNING READING B. I trust the judgement of the teachers and professors who decide what high school and college students should be reading. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1441 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 558 classics HS AND COLL STUDTS READ TOO MANY CLASSICS C. High school and colleges make students spend too much time reading "classics" that have little relevance in today's world. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1442 ________________________________________________________________________ grtbooks APPEAL OF GREATEST BOOKS IS UNIVERSAL D. The greatest books are universal in their appeal: there is no "white literature," "black literature," or "Asian literature," there is only human literature. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1443 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 559 modpaint MODERN PAINTING IS JUST SLAPPED ON E. Modern painting is just slapped on: a child could do it. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1444 ________________________________________________________________________ english BETTER IF ENGLISH IS ONLY LANGUAGE USED IN SCHOOL F. It is better for everyone if English is the only language used in the public schools. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1445 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 560 pclit SHAME TRADL AMER LIT IGNORED FOR MINORITY LIT G. It is a shame when traditional American literature is ignored while other works are promoted because they are by women or by members of minority groups. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1446 ________________________________________________________________________ excelart ARTISTIC EXCELLENCE FOUND IN FOLK ART H. Artistic excellence can be found in popular and folk culture just as much as in the fine arts. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1447 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 561 hosthome UNCOMF ENTERTAINING STRANGERS AT HOME I. I would feel uncomfortable entertaining people I don't know well in my home. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1448 ________________________________________________________________________ frdcreat DESIR QUALITIES OF FRIEND: CREATIVE I'm going to read seven qualties one might look for in a personal friend. All of the qualities may be desirable ones for a personal friend, but I'm interested in those that are most important to you. As I read each one, could you tell me whether it is extremely important, very important, fairly important, not too important, or not at all important. A. Creative. VALUE LABEL 0 NAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1449 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 562 frdcultr DESIR QUALITIES OF FRIEND: CULTURED B. Cultured. VALUE LABEL 0 NAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1450 ________________________________________________________________________ frddynam DESIR QUALITIES OF FRIEND: DYNAMIC C. Dynamic. VALUE LABEL 0 NAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1451 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 563 frdfun DESIR QUALITIES OF FRIEND: FUN-LOVING D. Fun-loving. VALUE LABEL 0 NAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1452 ________________________________________________________________________ frdhonst DESIR QUALITIES OF FRIEND: HONEST E. Honest. VALUE LABEL 0 NAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1453 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 564 frdintel DESIR QUALITIES OF FRIEND: INTELLIGENT F. Intelligent. VALUE LABEL 0 NAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1454 ________________________________________________________________________ frdresp DESIR QUALITIES OF FRIEND: RESPONSIBLE G. Responsible. VALUE LABEL 0 NAP 1 EXTREMELY IMPORTANT 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1455 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 565 impfinan IMP TO R OF FINANCIAL SECURITY I'm going to read you a list of some things that different people value. Some people say these things are very important to them. Other people say they are not so important. Please tell me how important each thing is to you personally, using the responses on this card. How about being financially secure? Is it one of the most important values you hold, very important, somewhat important, not too important, or not at all important? VALUE LABEL 0 NAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1456 ________________________________________________________________________ impmar IMP TO R OF BEING MARRIED B. Being married. VALUE LABEL 0 NAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1457 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 566 impkids IMP TO R OF HAVING CHILDREN C. Having children. VALUE LABEL 0 NAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1458 ________________________________________________________________________ impgod IMP TO R OF HAVING FAITH IN GOD D. Having faith in God. VALUE LABEL 0 NAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1459 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 567 impthngs IMP TO R OF HAVING NICE THINGS E. Having nice things. VALUE LABEL 0 NAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1460 ________________________________________________________________________ impcultr IMP TO R OF BEING CULTURED F. Being cultured. VALUE LABEL 0 NAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1461 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 568 impjob IMP TO R OF HAVING A FULFILLING JOB G. Having a fulfilling job. VALUE LABEL 0 NAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1462 ________________________________________________________________________ impself IMP TO R OF BEING SELF-SUFFICIENT H. Being self-sufficient and not having to depend on others. VALUE LABEL 0 NAP 1 ONE OF MOST IMPORTANT 2 VERY IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT TOO IMPORTANT 5 NOT AT ALL IMPORTANT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1463 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 569 mostimp1 MOST IMP EVENT IN LST 60 YRS The next questions concern how people think about the past. There have been a lot of naitonal and world events and changes over the past 60 years--say, from about 1930 right up until today. Would you mention one or two such events or changes that seem to you to have been especially important? Ther aren't any right or wrong answers to the question--just whatever national or world events or changes over the past 60 years that come to mind as important to you. VALUE LABEL 0 NAP 990 OTHER 995 PERSONAL 996 NONE, NO EVENT 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1464-1466 ________________________________________________________________________ mostimp2 2ND MOST IMP EVENT IN LST 60 YRS Is there any other national or world event or change over the past 60 years that you feel was especially important? VALUE LABEL 0 NAP 990 OTHER 995 PERSONAL 996 NONE, NO EVENT 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1467-1469 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 570 mostimp3 3RD IMP EVENT IN LST 60 YRS Is there any other national or world event or change over the past 60 years that you feel was especially important? VALUE LABEL 0 NAP 990 OTHER 995 PERSONAL 996 NONE, NO EVENT 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1470-1472 ________________________________________________________________________ mostimp4 4TH IMP EVENT IN LST 60 YRS Is there any other national or world event or change over the past 60 years that you feel was especially important? VALUE LABEL 0 NAP 990 OTHER 995 PERSONAL 996 NONE, NO EVENT 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/1473-1475 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 571 colmajr1 R MAJOR IN COLLEGE Could you tell me your major field of study (while you were) in college? VALUE LABEL -1 NAP 0 NONE 1 ENGLISH, LITERATURE 2 FOREIGN LANGUAGE 3 FINE ARTS 4 OTHER HUMANITIES 5 ECONOMICS 6 PSYCHOLOGY 7 GOVERNMENT-CIVICS 8 SOCIAL SCIENCE-OTHER SOCIAL STUDY 9 MATHEMATICS 10 SCIENCE 11 OTHER 12 BUSINESS 13 EDUCATION 14 ENGINEERING 15 OTHER VOCATIONAL 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/1476-1477 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 572 colmajr2 R 2ND MAJOR IN COLLEGE Could you tell me your major field of study (while you were) in college? VALUE LABEL -1 NAP, NO 2ND MENTION 0 NONE 1 ENGLISH, LITERATURE 2 FOREIGN LANGUAGE 3 FINE ARTS 4 OTHER HUMANITIES 5 ECONOMICS 6 PSYCHOLOGY 7 GOVERNMENT-CIVICS 8 SOCIAL SCIENCE-OTHER SOCIAL STUDY 9 MATHEMATICS 10 SCIENCE 11 OTHER 12 BUSINESS 13 EDUCATION 14 ENGINEERING 15 OTHER VOCATIONAL 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/1478-1479 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 573 hsclass1 R FAVORITE SUBJECT IN HS [When you were in high school/In high school], what (was/is) your favorite course or subject? VALUE LABEL -1 NAP 0 NONE 1 ENGLISH, LITERATURE 2 FOREIGN LANGUAGE 3 FINE ARTS 4 OTHER HUMANITIES 5 ECONOMICS 6 PSYCHOLOGY 7 GOVERNMENT-CIVICS 8 SOCIAL SCIENCE-OTHER SOCIAL STUDY 9 MATHEMATICS 10 SCIENCE 11 OTHER 12 BUSINESS 13 EDUCATION 14 ENGINEERING 15 OTHER VOCATIONAL 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/1480-1481 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 574 hsclass2 R 2ND FAVORITE SUBJECT IN HS When you were in high school/In high school], what (was/is) your favorite course or subject? VALUE LABEL -1 NAP, NO 2ND MENTION 0 NONE 1 ENGLISH, LITERATURE 2 FOREIGN LANGUAGE 3 FINE ARTS 4 OTHER HUMANITIES 5 ECONOMICS 6 PSYCHOLOGY 7 GOVERNMENT-CIVICS 8 SOCIAL SCIENCE-OTHER SOCIAL STUDY 9 MATHEMATICS 10 SCIENCE 11 OTHER 12 BUSINESS 13 EDUCATION 14 ENGINEERING 15 OTHER VOCATIONAL 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/1482-1483 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 575 ethid R AMERICAN VS ETHNIC IDENTITY When you think of social and political issues, do you think of yourself mainly as a member of a particular ethnic, racial, or nationality group or do you think of yourself mainly as just an American? VALUE LABEL 0 NAP 1 JUST AN AMERICAN 2 SOME PART. ETHNIC GRP 3 2 OR MORE ETHNIC GRPS 4 AMER AND ETHNIC GRPS 5 IT DEPENDS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1484 ________________________________________________________________________ amissue DEGREE R INVOKES JUST AMERICAN IDENTITY A. Do you think of yourself as "just an American" on all issues, most issues, some issues, or just a few issues? VALUE LABEL 0 NAP 1 ALL ISSUES 2 MOST ISSUES 3 SOME ISSUES 4 JUST A FEW ISSUES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1485 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 576 ethissue DEGREE R INVOKES ETHNIC IDENTITY B. Do you think of yourself as a(n) (ethnic group or groups specified) on all issues, most issues, some issues, or just a few issues? VALUE LABEL 0 NAP 1 ALL ISSUES 2 MOST ISSUES 3 SOME ISSUES 4 JUST A FEW ISSUES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1486 ________________________________________________________________________ ethid1 R PRIMARY IDENTITY AS ETHNIC OR AMERICAN C. Well, if you had to choose, which would you think of yourself most of the time--mainly as a member of a particular ethnic, racial, or nationality group, or mainly as just an American? VALUE LABEL 0 NAP 1 JUST AN AMERICAN 2 SOME PART. ETHNIC GRP 3 2 OR MORE ETHNIC GRPS 4 IT DEPENDS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1487 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 577 amissue1 DEGREE R INVOKES PRIMARY IDENTITY AS AMERICAN D. Do you think of yourself as "just an American" on all issues, most issues, some issues, or just a few issues? VALUE LABEL 0 NAP 1 ALL ISSUES 2 MOST ISSUES 3 SOME ISSUES 4 JUST A FEW ISSUES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1488 ________________________________________________________________________ ethissu1 DEGREE R INVOKES PRIMARY IDENTITY AS ETHNIC E. Do you think of yourself as a(n) (ethnic group or groups specified) on all issues, most issues, some issues, or just a few issues? VALUE LABEL 0 NAP 1 ALL ISSUES 2 MOST ISSUES 3 SOME ISSUES 4 JUST A FEW ISSUES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1489 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 578 amrank AMERICAN QUALITY OF LIFE VS OTHER INDUS. NATIONS Do you feel that the quality of life is better in America than in most other advanced industrial countries, about the same, or do you feel that people are better off in most other advanced industrial countries than they are in the United States? VALUE LABEL 0 NAP 1 BETTER IN AMERICA 2 ABOUT THE SAME 3 BETTER IN OTH ADV CNTRY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1490 ________________________________________________________________________ amproud R PRIDE IN BEING AMERICAN How proud are you to be an American . . . extremely proud, very proud, somewhat proud, or not very proud? VALUE LABEL 0 NAP 1 EXTREMELY PROUD 2 VERY PROUD 3 SOMEWHAT PROUD 4 NOT VERY PROUD 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1491 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 579 meltpot BETTER FOR A COUNTRY IF MAINTAIN DISTINCT CUSTOMS Some people say that it is better for America if different racial and ethnic groups maintain their distinct cultures. Others say that it is better if groups change so that they blend into the larger society as in the idea of a melting pot. Here is a card with a scale from 1 to 7. Think of a score of 1 as meaning that racial and ethnic groups should maintain their distinct cultures, and a score of 7 as meaning that groups should change so that they blend into the larger society. What score between 1 and 7 comes closest to the way you feel? VALUE LABEL 0 NAP 1 MAINTAIN DISTINCT CULTURES 7 BLEND IN TO LARGER SOCIETY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1492 ________________________________________________________________________ gvtapart SHOULD GOVT POLICY MAINTAIN DISTINCT CULTURES A. Should it be up to the government to help racial and ethnic groups maintain their distinct cultures, or should this be left up to the groups themselves? VALUE LABEL 0 NAP 1 GOVT TO HELP 2 LEFT UP TO GROUPS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1493 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 580 gvtmelt SHOULD GOVT HELP BLEND CULTURES B. Should it be up to the government to help racial and ethnic groups change so that they blend into the larger society, or should this be left up to the groups themselves? VALUE LABEL 0 NAP 1 GOVT TO HELP 2 LEFT UP TO GROUPS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1494 ________________________________________________________________________ ethorgs DO ETHNIC ORGS PROMOTE SEPARATISM Now I'm going to read you some statements and would like to get your reaction to them. After I read each statement, please tell me if you strongly agree, agree, neither agree nor disagree, disagree, or strongly disagree with the statement. Political organizations based on race or ethnicity promote separatism and make it hard for all of us to live together. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1495 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 581 ethspkok ALLOW FREE SPEECH OFFENSIVE TO ETHNIC GROUPS A. Under the First Amendment guaranteeing free speech, people should be allowed to express their own opinions even if they are harmful or offensive to members of other religious or racial groups. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1496 ________________________________________________________________________ ethspkno BAN OPINIONS HARMFUL TO OTHER GROUPS B. People should not be allowed to express opinions that are harmful or offensive to members of other religious or racial groups. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1497 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 582 symptblk R FEEL SYMPATHY TOWARDS BLACKS Now, I would like to ask whether you have ever felt the following ways about blacks and their families. for each of the feelings that I ask you about, please tell me whether you have felt that way very often, fairly often, not too often, or never? A. How often have you felt sympathy for blacks? VALUE LABEL 0 NAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 NOT TOO OFTEN 4 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1498 ________________________________________________________________________ admirblk R EXPRESS ADMIRATION FOR BLACKS B. How often have you felt admiration for blacks? VALUE LABEL 0 NAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 NOT TOO OFTEN 4 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1499 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 583 bilinged SUPPORT OR OPPOSE BILINGUAL EDUCATION How do you feel about bilingual education? Are you strongly in favor of it, somewhat in favor of it, somewhat opposed to it, or strongly opposed to it? VALUE LABEL 0 NAP 1 STRONGLY FAVOR 2 SOMEWHAT FAVOR 3 SOMEWHAT OPPOSED 4 STRONGLY OPPOSED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1500 ________________________________________________________________________ engteach OPINION ON TEACHING CLASSES ONLY IN ENGLISH There are several different ideas about how to teach children who don't speak English when they enter our public schools. Please look at the card and tell me which statement best describes how you feel: All classes should be conducted only in English so that children have to learn English right from the start............................................................1 Children who don't know English should have classes in their native language just for a year or two until they learn English.....................................2 Students who want to keep up with their native languages and cultures should be able to take many of the classes in Spanish or other languages all the way through high school.....................................................................3 VALUE LABEL 0 NAP 1 ALL CLASSES IN ENGLISH 2 1-2 YRS IN NATIVE LANG 3 NATIVE LANG THRU HS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1501 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 584 engballt ATTITUDE TOWARD PRINTING BALLOTS ONLY IN ENGLISH Do you believe that election ballots should be printed only in English, or in areas where lots of people don't speak English, should they also be printed in some other languages? VALUE LABEL 0 NAP 1 ONLY IN ENGLISH 2 IN OTHER LANGS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1502 ________________________________________________________________________ engoffcl FAVOR LAW MAKING ENGLISH THE OFFICIAL LANGUAGE Do you favor a law making English the official language of the United States, meaning government business would be conducted in English only, or do you oppose such a law? VALUE LABEL 0 NAP 1 FAVOR 3 NEITHER FAVOR NOR OPPOSE 5 OPPOSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1503 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 585 letin INCREASE OR DECREASE IMMIGRANTS TO US Do you think the number of immigrants from foreign countries who are permitted to come to the United States to live should be increased a lot, increased a little, left the same as it is now, decreased a little, or decreased a lot? VALUE LABEL 0 NAP 1 INCREASED A LOT 2 INCREASED A LITTLE 3 SAME AS NOW 4 DECREASED A LITTLE 5 DECREASED A LOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1504 ________________________________________________________________________ hspasn10 CHANGE IN ETHNIC STATUS IN LOCAL COMMUNITY Compared to 10 years ago do Hispanics and Asians make up a larger share of the population in your local community, the same share, or a smaller share? VALUE LABEL 0 NAP 1 LARGER SHARE 2 SAME SHARE 3 SMALLER SHARE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1505 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 586 immunemp WILL IMMIGRANTS FUEL UNEMPLOYMENT B. Higher unemployment. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT SO LIKELY 4 NOT AT ALL LIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1506 ________________________________________________________________________ immunite WILL IMMIGRANTS AFFECT NATIONAL UNITY C. Making it harder to keep the country united. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT SO LIKELY 4 NOT AT ALL LIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1507 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 587 immfare IMMIGRANTS ELIGIBLE FOR GOVT ASSISTANCE? Under current law, immigrants who come from other countries to the United States legally are entitled, from the very beginning, to government assistance such as Medicaid, food stamps, or welfare on the same basis as citizens. But some people say they should not be eligible until they have lived here for a year or more. Which do you think? Do you think that immigrants who are here legally should be eligible for such services as soon as they come, or should they not be eligible? VALUE LABEL 0 NAP 1 ELIGIBLE 2 NOT ELIGIBLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1508 ________________________________________________________________________ undocwrk SHOULD ILLEGAL IMMIGRANTS GET WORK PERMITS? A. What about undocumented aliens, that is, those who have immigrated to this country illegally? 1. Should illegal immigrants be entitled to work permits, or not? VALUE LABEL 0 NAP 1 YES, ENTITLED 2 NO, NOT ENTITLED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1509 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 588 undoccol ILLEGAL IMMIGRANTS ACCESS TO PUBLIC UNIVERSITIES? 2. Should they be entitled to attend public universities at the same costs as other students, or not? VALUE LABEL 0 NAP 1 YES, ENTITLED 2 NO, NOT ENTITLED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1510 ________________________________________________________________________ undockid US CITIZENSHIP FOR CHILDREN OF ILLEGAL IMMIGRANTS 3. Should they be entitled to have their children continue to qualify as American citizens if born in the United States, or not? VALUE LABEL 0 NAP 1 YES, QUALIFY 2 NO, NOT QUALIFY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1511 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 589 immpush ARE IMMIGRANTS DEMANDING TOO MANY RIGHTS? A. Immigrants are getting too demanding in their push for equal rights. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1512 ________________________________________________________________________ immwrkup SHOULD IMMIGRANTS OVERCOME BIAS WITHOUT HELP B. The Irish, Italians, Jews, and many other minorities overcame prejudice and worked their way up. Today's immigrants should do the same without any special favors. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1513 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 590 colaff CHANCE BLACKS GET TO COLLEGE AHEAD OF WHITES A. What do you think the chances are these days that a white person won't get admitted to a college or university program while an equally or less qualified black person gets admitted instead? Would you say: very likely, somewhat likely, or not likely. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT LIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1514 ________________________________________________________________________ colaffy CHANCE WHITES EXCLUDED FROM COLLEGE OVER BLACKS A. What do you think the chances are these days that a white person won't get admitted to a college or university program while a less qualified black person gets admitted instead? Would you say: very likely, somewhat likely, or not likely. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT LIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1515 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 591 discaffy CHANCE BLACKS PROMOTED AHEAD OF WHITES B. What do you think the chances are these days that a white person won't get a job or promotion while a less qualified black person gets one instead? Is this very likely, somewhat likely, or not very likely to happen these days. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT LIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1516 ________________________________________________________________________ jobaff FAVOR PREFERENCES IN HIRING BLACKS Some people say that because of past discrimination, blacks should be given preference in hiring and promotion. Others say that such preference in hiring and promotion of blacks is wrong because it discriminates against others. What about your opinion--are you for or against preferential hiring and promotion of blacks? IF FOR: Do you favor preference in hiring and promotion strongly or not strongly? IF AGAINST: Do you oppose preference in hiring and promotion strongly or not strongly? VALUE LABEL 0 NAP 1 STRONGLY FOR PREF 2 FOR PREFERENCE 3 AGAINST PREFERENCE 4 STRONGLY AGAINST PREF. 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1517 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 592 owneth DO ETHIC POLITICIANS SERVE ETHNIC GROUPS BETTER Do you feel that people are best represented in politics by leaders from their own racial or ethnic background, or doesn't the leader's background make very much difference? VALUE LABEL 0 NAP 1 LEADERS FROM OWN BACKGROUND 2 LEADERS BACKGROUND NO MATTER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1518 ________________________________________________________________________ congeth SHOULD ETHNIC CONGRESSMEN RESPRESENT ETHNIC GROUPS Some people say that it is only fair that in a society like ours, people holding public office should have roughly the same racial or ethnic background as the population as a whole. So, for example, if 30% of the people were Hispanic, then 30% of the public officials should be Hispanic as well. Others say that in choosing people for public office they should be considered purely on the basis of ability without regard to their ethnic or racial background. Let me ask you about these ideas in several different areas. A. What about people in Congress? Should they have the same racial or ethnic background as their constituents, or should they be considered purely on the basis of their ability without regard to their racial or ethnic background? VALUE LABEL 0 NAP 1 CONSIDER ETHNIC BACKGROUND 2 ABILITY, NOT BACKGROUND 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1519 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 593 teacheth ETHNICITY OF COLLEGE FACULTY REFLECT STUDENTS B. What about teachers in public schools or universities? Should they have roughly the same racial or ethnic background as their students, or should they be considered purely on the basis of their ability without regard to their racial or ethnic background? VALUE LABEL 0 NAP 1 CONSIDER ETHNIC BACKGROUND 2 ABILITY, NOT BACKGROUND 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1520 ________________________________________________________________________ schleth ETHNICITY OR PROFESSIONAL SCHOOLS MIRROR STUDENTS C. What about students in medical, law, and other professional schools? Should they have roughly the same racial or ethnic background as the people in their area, or should they be considered purely on the basis of their ability without regard to their racial or ethnic background? VALUE LABEL 0 NAP 1 CONSIDER ETHNIC BACKGROUND 2 ABILITY, NOT BACKGROUND 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1521 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 594 ethhist MINORITY HISTORY ADDEQUATELY TAUGHT IN SCHOOL In history classes in high school and college, do the experiences of racial and ethnic minority groups in America receive too much attention now, too little attention, or about the right amount? VALUE LABEL 0 NAP 1 TOO MUCH ATTENTION NOW 2 TOO LITTLE ATTENTION 3 ABOUT THE RIGHT AMOUNT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1522 ________________________________________________________________________ whoteach SHOULD ONLY MINORITIES TEACH MINORITY HISTORY Some people say that when the experience of a racial or ethnic minority group is taught in high school or college, it should be taught by a teacher from that group. Do you strongly agree, agree, neither agree nor disagree, disagree, or strongly disagree? VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1523 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 595 whtgovt DO WHITES GET PROPER GOVT ATTENTION A. Do you think that white people in this country get much more attention from government than they deserve, more attention than they deserve, about the right amount of attention, less attention than they deserve, or much less attention from government than they deserve? VALUE LABEL 0 NAP 1 MUCH MORE 2 MORE 3 ABOUT RIGHT 4 LESS 5 MUCH LESS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1524 ________________________________________________________________________ blkgovt DO BLACKS GET PROPER GOVT ATTENTION B. Do you think that blacks get more attention from government than they deserve? Would you answer much more attention from government than they deserve, more attention than they deserve, about the right amount of attention, less attention than they deserve, or much less attention from government than they deserve? VALUE LABEL 0 NAP 1 MUCH MORE 2 MORE 3 ABOUT RIGHT 4 LESS 5 MUCH LESS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1525 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 596 hspgovt DO HISPANIC-AMERICANS GET PROPER GOVT ATTENTION C. Hispanic-Americans? Would you answer much more attention from government than they deserve, more attention than they deserve, about the right amount of attention, less attention than they deserve, or much less attention from government than they deserve? VALUE LABEL 0 NAP 1 MUCH MORE 2 MORE 3 ABOUT RIGHT 4 LESS 5 MUCH LESS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1526 ________________________________________________________________________ asngovt DO ASIAN-AMERICANS GET PROPER GOVT ATTENTION D. Asian-Americans? Would you answer much more attention from government than they deserve, more attention than they deserve, about the right amount of attention, less attention than they deserve, or much less attention from government than they deserve? VALUE LABEL 0 NAP 1 MUCH MORE 2 MORE 3 ABOUT RIGHT 4 LESS 5 MUCH LESS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1527 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 597 wlthimm ARE LEGAL IMMIGRANTS RICH OR POOR Now I have some questions about different groups in our society. I'm going to show you a seven-point scale which the characteristics of people in a group can be rated. In the first statement a score of 1 means that you think almost all of the people in that group are rich. A score of 7 means that you think almost everyone in the group are poor. A score of 4 means that you think that the group is not towards one end or another, and of course you may choose any number in between that comes closest to where you think people in the group stand. A1. Immigrants who are in this country legally? VALUE LABEL 0 NAP 1 RICH 7 POOR 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1528 ________________________________________________________________________ wlthundc ARE ILLEGAL IMMIGRANTS RICH OR POOR A2. Immigrants who are in this country illegally? VALUE LABEL 0 NAP 1 RICH 7 POOR 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1529 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 598 workimm ARE LEGAL IMMIGRANTS HARD WORKING B1. Legal immigrants? VALUE LABEL 0 NAP 1 HARD-WORKING 7 LAZY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1530 ________________________________________________________________________ workundc ARE ILLEGAL IMMIGRANTS HARD WORKING B2. Illegal immigrants? VALUE LABEL 0 NAP 1 HARD-WORKING 7 LAZY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1531 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 599 obrespct TEACH CHILDREN RESPECT FOR AUTHORITY AND OBEDIENCE Please respond to the following statements by saying whether you strongly agree, agree, disagree, or strongly disagree with them: Obedience and respect for authority are the most important virtues children should learn. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1532 ________________________________________________________________________ econpast HAS NATIONAL ECONOMY IMPROVED LAST YEAR How about the economy. Would you say that over the past year the nation's economy has gotten better, stayed about the same, or gotten worse? VALUE LABEL 0 NAP 1 GOTTEN BETTER 2 STAYED THE SAME 3 GOTTEN WORSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1533 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 600 pastup DEGREE OF IMPROVEMENT IN NATIONAL ECONOMY A. Would you say much better or somewhat better? VALUE LABEL 0 NAP 1 MUCH BETTER 2 SOMEWHAT BETTER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1534 ________________________________________________________________________ pastdown DEGREE NATIONAL ECONOMY HAS GOTTEN WORSE B. Would you say much worse or somewhat worse? VALUE LABEL 0 NAP 1 MUCH WORSE 2 SOMEWHAT WORSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1535 ________________________________________________________________________ econfutr PREDICTIONS FOR NATIONAL ECONOMY IN NEXT YEAR What about the next 12 months? Do you expect the national economy to get better, get worse, or stay about the same? VALUE LABEL 0 NAP 1 GET BETTER 2 STAY THE SAME 3 GET WORSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1536 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 601 futrup DEGREE ECONOMY WILL IMPROVE IN NEXT YEAR A. Would you say much better or somewhat better? VALUE LABEL 0 NAP 1 MUCH BETTER 2 SOMEWHAT BETTER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1537 ________________________________________________________________________ futrdown DEGREE ECONOMY WILL GET WORSE OVER NEXT YEAR B. Would you say much worse or somewhat worse? VALUE LABEL 0 NAP 1 MUCH WORSE 2 SOMEWHAT WORSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1538 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 602 rdiscaff CHANCES FAMILY MEMBER NOT PROMOTED FOR OTHER RACE A. What do you think the chances are these days that you or anyone in your family won't get a job or promotion while an equally or less qualified [White/(Black/African-American)] employee receives one instead? Would you say the chances of this happening are very likely, somewhat likely, somewhat unlikely, or very unlikely? VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1539 ________________________________________________________________________ rimmdisc CHANCES ILLEGAL IMMIGRANTS FAVORED OVER FAMILY B. What about immigrants? Is it very likely, somewhat likely, somewhat unlikely, or very unlikely that you or anyone in your family won't get a job or promotion while an equally or less qualified immigrant employee receives one instead? VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1540 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 603 romance DO YOU HAVE A MAIN ROMANTIC INVOLVEMENT Do you have a main romantic involvement - a (man/woman) you think of as a steady, a lover, a partner, or whatever? VALUE LABEL 0 NAP 1 YES 2 NO 3 HAS SAME GENDER PARTNER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1541 ________________________________________________________________________ livewith DO YOU LIVE TOGETHER? Do you live together? VALUE LABEL 0 NAP 1 YES 2 NO 3 HAS SAME GENDER PARTNER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1542 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 604 haprom DESCRIBE YOUR ROMANTIC RELATIONSHIP? Taking things all together, how would you describe your romantic relationship? Would you say that your relationship is very happy, pretty happy, or not too happy? VALUE LABEL 0 NAP 1 VERY HAPPY 2 PRETTY HAPPY 3 NOT TOO HAPPY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1543 ________________________________________________________________________ willwed1 HOW LIKELY YOU TWO WILL GET MARRIED? How likely is it that you two will get married? Would you say that it is very likely, somewhat likely, somewhat unlikely, or very unlikely? VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1544 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 605 willwed2 IF RIGHT PERSON WOULD YOU MARRY? If the right person came along, would you like to be married? VALUE LABEL 0 NAP 1 YES 2 NO 3 HAS SAME GENDER PARTNER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1545 ________________________________________________________________________ hapgirls GIRLS' CHANCES FOR A HAPPY FAMILY LIFE Think about girls growing up today: Do you think their chances for a happy family life will be better than yours, about the same, or worse than yours? VALUE LABEL 0 NAP 1 BETTER 2 ABOUT THE SAME 3 WORSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1546 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 606 hapboys BOYS' CHANCES FOR A HAPPY FAMILY LIFE And what about boys growing up today? Do you think their chances for a happy family life will be better than yours, about the same, or worse than yours? VALUE LABEL 0 NAP 1 BETTER 2 ABOUT THE SAME 3 WORSE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1547 ________________________________________________________________________ fejobaff FOR OR AGAINST PREFERENTIAL HIRING OF WOMEN Some people say that because of past discrimination, women should be given preference in hiring and promotion. Others say that such preference in hiring and promotion of women is wrong because it discriminates against men. What about your opinion - are you for or against preferential hiring and promotion of women? (IF FOR: Do you favor preference in hiring and promotion strongly or not strongly? IF AGAINST: Do you oppose preference in hiring and promotion strongly or not strongly?) VALUE LABEL 0 NAP 1 STRONGLY FOR 2 FOR 3 AGAINST 4 STRONGLY AGAINST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1548 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 607 tradmod MAN ALONE-BOTH RESPONSIBLE FOR PROVIDING INCOME Next, we have some questions about the kind of relationship you would like with a spouse or partner. It doesn't matter whether you are now married or living with someone. For each pair of items on the card, which type of relationship would you prefer? In pair A, would you prefer the type of relationship described in statement 1 or statement 2? How about in pair B? Pair C? A relationship where the man has the main responsibility for providing the household income and the woman has the main responsibility for taking care of the home and family [or] A relationship where the man and woman equally share responsibility for providing the household income and taking care of the home and family VALUE LABEL 0 NAP 1 MAN ALONE RESPONSIBLE 2 BOTH RESPONSIBLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1549 ________________________________________________________________________ sharesep MAN AND WOMAN DO THINGS TOGETHER-SEPARATE A relationship where the man and woman do most things in their social life together [or] A relationship where the man and woman do separate things that interest them VALUE LABEL 0 NAP 1 MAN WOMAN DO THINGS TOGETHER 2 MAN WOMAN DO THINGS SEPARATE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1550 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 608 emoteoth MAN AND WOMAN EMOTIONALLY DEPENDENT-INDEPENDENT [NO QUESTION TEXT] VALUE LABEL 0 NAP 1 MAN WOMAN EMOTIONALLY DEPENDENT 2 MAN WOMAN EMOTIONALLY INDEPENDENT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1551 ________________________________________________________________________ rhmewrk HOW MUCH HOUSEWORK R DOES We're interested in knowing how much of the work around your home is done by different people. We don't mean taking care of children - just regular work around the house, like cooking, grocery shopping and doing little repair jobs. How much of this work do you do? VALUE LABEL 0 NAP 1 ALL 2 MOST 3 ABOUT HALF 4 SOME 5 VERY LITTLE OR NONE 6 NOT MARRIED-LIVING WITH PARTNER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1552 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 609 sphmewrk HOW MUCH HOUSEWORK R'S SPOUSE DOES How much does your spouse or partner do? VALUE LABEL 0 NAP 1 ALL 2 MOST 3 ABOUT HALF 4 SOME 5 VERY LITTLE OR NONE 6 NOT MARRIED-LIVING WITH PARTNER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1553 ________________________________________________________________________ fairhwrk DIVISION OF WORK UNFAIR TO YOU OR SPOUSE How fair do you feel the division of work around the house is in your household? Would you say that it is fair to both you and your spouse or partner, unfair to you, or unfair to your spouse or partner? VALUE LABEL 0 NAP 1 FAIR TO BOTH 2 UNFAIR TO ME 3 UNFAIR TO MY SPOUSE OR PARTNER 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1554 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 610 earnmore WHO EARNS MORE MONEY? Who earns more money? VALUE LABEL 0 NAP 1 I EARN MUCH MORE THAN MY SPOUSE 2 I EARN SOMEWHAT MORE THAN MY SPOUSE 3 WE EARN ABOUT THE SAME AMOUNT 4 MY SPOUSER-PARTNER EARNS SOMEWHAT MORE 5 MY SPOUSE-PARTNER EARNS MUCH MORE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1555 ________________________________________________________________________ famlife HOW SUCCESSFUL IN FAMILY LIFE The next few questions are about your success in different areas of life. First, how successful do you feel in your family life? Do you feel completely successful, very successful, somewhat successful, not very successful, or not at all successful? VALUE LABEL 0 NAP 1 NOT AT ALL SUCCESSFUL 2 NOT VERY SUCCESSFUL 3 SOMEWHAT SUCCESSFUL 4 VERY SUCCESSFUL 5 COMPLETELY SUCCESSFUL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1556 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 611 worklife HOW SUCCESSFUL IN WORK LIFE How successful do you feel in your work life? VALUE LABEL 0 NAP 1 NOT AT ALL SUCCESSFUL 2 NOT VERY SUCCESSFUL 3 SOMEWHAT SUCCESSFUL 4 VERY SUCCESSFUL 5 COMPLETELY SUCCESSFUL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1557 ________________________________________________________________________ balwkfam HOW SUCCESSFUL BALANCING WORK & FAMILY How successful do you feel at balancing your paid work and your family life? Do you feel ... VALUE LABEL 0 NAP 1 NOT AT ALL SUCCESSFUL 2 NOT VERY SUCCESSFUL 3 SOMEWHAT SUCCESSFUL 4 VERY SUCCESSFUL 5 COMPLETELY SUCCESSFUL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1558 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 612 refpromo REFUSE A JOB PROMOTION? In your [present/most recent] job, [have you ever done/did you ever do] any of the following because of your responsibilities to members of your family? Refuse a job promotion? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1559 ________________________________________________________________________ refmorwk TAKE ON ADDITIONAL PAID WORK? Take on additional paid work? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1560 ________________________________________________________________________ refxhour REFUSE TO WORK OVERTIME OR EXTRA HOURS? Refuse to work overtime or extra hours? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1561 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 613 workless CUT BACK ON YOUR WORK? Cut back on your work? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1562 ________________________________________________________________________ noathome MISS A FAMILY OCCASION OR HOLIDAY? Miss a family occasion or holiday? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1563 ________________________________________________________________________ nonurse UNABLE TO CARE FOR A SICK CHILD-RELATIVE? Been unable to care for a sick child or relative? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1564 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 614 nohmewrk UNABLE TO DO THE WORK AROUND THE HOUSE? Been unable to do the work you usually do around the house? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1565 ________________________________________________________________________ discaffm A MAN WON'T GET A JOB OR PROMOTION What do you think the chances are these days that a man won't get a job or promotion while an equally or less qualified woman gets one instead? Is this very likely, somewhat likely, somewhat unlikely, or very unlikely these days? VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1566 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 615 discaffw A WOMAN WON'T GET A JOB OR PROMOTION What do you think the chances are these days that a woman won't get a job or promotion while an equally or less qualified man gets one instead? Is this very likely, somewhat likely, somewhat unlikely, or very unlikely these days? VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 SOMEWHAT UNLIKELY 4 VERY UNLIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1567 ________________________________________________________________________ flextime ALLOW WORKERS MORE FLEXIBLE HOURS It is becoming more common for employers to offer ways for people to combine work and being a parent. For each of the following, please tell me whether or not you think that employers should offer these options to their workers. Allow workers more flexible working hours, to handle family responsibilities. VALUE LABEL 0 NAP 1 YES, SHOULD OFFER THIS OPTION 2 NO, SHOULD NOT OFFER THIS OPTION 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1568 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 616 parleave OFFER PAID TIME OFF TO NEW PARENTS. Offer paid time off to new parents. VALUE LABEL 0 NAP 1 YES, SHOULD OFFER THIS OPTION 2 NO, SHOULD NOT OFFER THIS OPTION 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1569 ________________________________________________________________________ menben MEN BENEFIT FROM TRADITIONAL FAMILY In many married couples, women take the main responsibility for the care of the home and children, while men take the main responsibility for supporting the family financially. Who benefits from this: men, women, children, everyone, or no one? -- Men VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1570 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 617 womenben WOMEN BENEFIT FROM TRADITIONAL FAMILY Women VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1571 ________________________________________________________________________ chldben CHILDREN BENEFIT FROM TRADITIONAL FAMILY Children VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1572 ________________________________________________________________________ allben EVERYONE BENEFIT FROM TRADITIONAL FAMILY Everyone VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1573 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 618 nooneben NO ONE BENEFIT FROM TRADITIONAL FAMILY No one VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1574 ________________________________________________________________________ menhrt MEN HURT FROM TRADITIONAL FAMILY Who is hurt by this arrangement: men, women, children, everyone, or no one? -- Men VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1575 ________________________________________________________________________ womenhrt WOMEN HURT FROM TRADITIONAL FAMILY Women VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1576 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 619 chldhrt CHILDREN HURT FROM TRADITIONAL FAMILY Children VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1577 ________________________________________________________________________ allhrt EVERYONE HURT FROM TRADITIONAL FAMILY Everyone VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1578 ________________________________________________________________________ noonehrt NO ONE HURT FROM TRADITIONAL FAMILY No one VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1579 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 620 feless1 HOW IMPORTANT MEN WORK HARDER EXPLAIN Men work harder on the job than women do. How important do you think this reason is for explaining why women earn less? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1580 ________________________________________________________________________ feless2 HOW IMPORTANT WOMENS FAMILY RESPONSIBILITIES Women's family responsibilities keep them from putting as much time and effort into their jobs as men do. How important do you think this reason is for explaining why women earn less? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1581 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 621 feless3 HOW IMPORTANT GIVE MEN BETTER PAYING JOBS Employers tend to give men better paying jobs than they give women. How important do you think this reason is for explaining why women earn less? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1582 ________________________________________________________________________ fekids1 HOW IMPORTANT WOMEN BIOLOGICALLY BETTER-SUITED Women are biologically better-suited to care for children. How important do you think this reason is for explaining why women are more likely to take care of children? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1583 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 622 fekids2 HOW IMPORTANT WOMEN ARE TAUGHT FROM CHILDHOOD Women are taught from childhood how to care for children. How important do you think this reason is for explaining why women are more likely to take care of children? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1584 ________________________________________________________________________ fekids3 HOW IMPORTANT THE WAY SOCIETY IS SET UP The way society is set up, women don't have much choice. How important do you think this reason is for explaining why women are more likely to take care of children? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1585 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 623 fekids4 HOW IMPORTANT MEN HAVE MORE FREEDOM Men have more freedom to do other things. How important do you think this reason is for explaining why women are more likely to take care of children? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1586 ________________________________________________________________________ fekids5 HOW IMPORTANT IT IS GOD'S WILL It is God's will that women care for children. How important do you think this reason is for explaining why women are more likely to take care of children? VALUE LABEL 0 NAP 1 VERY IMPORTANT 2 IMPORTANT 3 SOMEWHAT IMPORTANT 4 NOT AT ALL IMPORTANT 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1587 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 624 mebear CAN HUSBAND REFUSE TO SIRE CHILDREN If the wife in a family wants children, but the husband decides that he does not want any children, is it all right for the husband to refuse to have children? VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1588 ________________________________________________________________________ fehire SHOULD HIRE AND PROMOTE WOMEN Now I'm going to read several statements. As I read each one, please tell me whether you strongly agree, agree, neither agree nor disagree, disagree, or strongly disagree. For example, here is the statement: Because of past discrimination, employers should make special efforts to hire and promote qualified women. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1589 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 625 feminist THINK YOURSELF AS A FEMINIST? Do you think of yourself as a feminist or not? VALUE LABEL 0 NAP 1 YES, A FEMINIST 2 NO, NOT A FEMINIST 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1590 ________________________________________________________________________ fenews HOW OFTEN PAY ATTENTION TO WOMEN ISSUES When reading, watching, or listening to the news, how often do you pay attention to issues that especially affect women - very often, fairly often, not too often, or never? VALUE LABEL 0 NAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 NOT TOO OFTEN 4 NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1591 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 626 hmemaker FULL-TIME HOMEMAKERS LIVES IMPROVED We'd like your views on how the women's movement has affected certain groups. For each group I name, please tell me whether you think the women's movement has improved their lives, made their lives worse, or had no effect on their lives. Full-time homemaker VALUE LABEL 0 NAP 1 IMPROVED THEIR LIFE 2 MADE THEIR LIFE WORSE 3 HAD NO EFFECT ON THEIR LIFE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1592 ________________________________________________________________________ wrkclass WORKING-CLASS WOMENS LIVES IMPROVED Women with working-class jobs VALUE LABEL 0 NAP 1 IMPROVED THEIR LIFE 2 MADE THEIR LIFE WORSE 3 HAD NO EFFECT ON THEIR LIFE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1593 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 627 manprof PROFESSIONAL WOMENS LIVES IMPROVED Women with management or professional jobs VALUE LABEL 0 NAP 1 IMPROVED THEIR LIFE 2 MADE THEIR LIFE WORSE 3 HAD NO EFFECT ON THEIR LIFE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1594 ________________________________________________________________________ men MENS LIVES IMPROVED Men VALUE LABEL 0 NAP 1 IMPROVED THEIR LIFE 2 MADE THEIR LIFE WORSE 3 HAD NO EFFECT ON THEIR LIFE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1595 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 628 children CHILDRENS LIVES IMPROVED Children VALUE LABEL 0 NAP 1 IMPROVED THEIR LIFE 2 MADE THEIR LIFE WORSE 3 HAD NO EFFECT ON THEIR LIFE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1596 ________________________________________________________________________ yourself R'S LIFE IMPROVED You, yourself VALUE LABEL 0 NAP 1 IMPROVED MY LIFE 2 MADE MY LIFE WORSE 3 HAD NO EFFECT ON MY LIFE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1597 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 629 probfix1 FIRST MENTION OF PROBLEM Problems often come up in life. Sometimes they're personal problems -- people are very unhappy, or nervous and irritable all the time. Sometimes there are problems in a marriage -- a husband and wife just can't get along with each other. Or, sometimes it's a personal problem with a child or a job. I'd like to ask you a few questions now about what you think a person might do to handle problems like this. For instance, let's suppose you had a lot of personal problems and you're very unhappy all the time. Let's suppose you've been that way for a long time, and it isn't getting any better. What do you think you'd do about it? What R would do about the problem -- First mention. VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1598-1599 ________________________________________________________________________ probfix2 SECOND MENTION OF PROBLEM What R would do about the problem -- Second mention. VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1600-1601 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 630 probfix3 THIRD MENTION OF PROBLEM What R would do about the problem -- Third mention. VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1602-1603 ________________________________________________________________________ probhlp1 FIRST MENTION TO HELP PROBLEM The sources of help R would seek -- First mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1604-1606 ________________________________________________________________________ probhlp2 SECOND MENTION TO HELP PROBLEM The sources of help R would seek -- Second mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1607-1609 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 631 probhlp3 THIRD MENTION TO HELP PROBLEM The sources of help R would seek -- Third mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1610-1612 ________________________________________________________________________ vigversn VIGNETTE VERSION NUMBER Next I'm going to describe a person -- lets call him/her (REFER TO NAME IN VIGNETTE). After I read a description of him/her I'll ask you some questions about how you think and feel about him/her. There are no right or wrong answers. I'm only interested in what you think of NAME. VALUE LABEL 0 NAP Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/1613-1614 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 632 seriousp HOW SERIOUS R CONSIDERS (NAME'S) PROBLEM TO BE? Please remember, there are no right or wrong answers to these questions. Please think about the person I just described when answering this group of questions. First, how serious would you consider NAME's problem to be -- very serious, somewhat serious, not very serious, or not at all serious? VALUE LABEL 0 NAP 1 VERY SERIOUS 2 SOMEWHAT SERIOUS 3 NOT VERY SERIOUS 4 NOT AT ALL SERIOUS 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1615 ________________________________________________________________________ charactr HOW LIKELY CAUSED BY OWN BAD CHARACTER His/her own bad character VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1616 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 633 imbalnce HOW LIKELY CAUSED BY A CHEMICAL IMBALANCE A chemical imbalance in the brain VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1617 ________________________________________________________________________ wayraise HOW LIKELY CAUSED BY THE WAY WAS RAISED The way (s/he) was raised VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1618 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 634 stresses HOW OFTEN DOES R FIND WORK STRESSFUL Stressful circumstances in his/her life VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1619 ________________________________________________________________________ genetics HOW LIKELY CAUSED BY A GENETIC-INHERITED PROBLEM A genetic or inherited problem VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1620 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 635 godswill HOW LIKELY CAUSED BY GOD'S WILL God's will VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1621 ________________________________________________________________________ upsdowns HOW LIKELY EXPERIENCING NORMAL UPS-DOWNS OF LIFE In your opinion, how likely is it that NAME is experiencing (READ a-e) -- very likely, somewhat likely, not very likely, or not at all likely? (In Part e, read only the phrase following the letter of the Vignette) Part of the normal ups and downs of life. VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1622 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 636 breakdwn HOW LIKELY EXPERIENCING A NERVOUS BREAKDOWN A nervous breakdown VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1623 ________________________________________________________________________ mentlill HOW LIKELY EXPERIENCING A MENTAL ILLNESS A mental illness VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1624 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 637 physill HOW LIKELY IS EXPERIENCING A PHYSICAL ILLNESS A physical illness VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1625 ________________________________________________________________________ viglabel VIGNETTE LABEL REFER TO VIGNETTE ID, CHECK BELOW AND READ ONLY 1 PHRASE OF THE FOLLOWING: Vignette A: alcohol dependence Vignette B: a major depression Vignette C: schizophrenia Vignette D: a drug problem Vignette E: GO TO Q. 639 VALUE LABEL 0 NAP 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1626 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 638 dectreat HOW ABLE TO MAKE OWN DECISIONS ABOUT THE TREATMENT In your opinion, how able is NAME to make his/her own decisions about the treatment s/he should receive -- very able, somewhat able, not very able or not able at all? VALUE LABEL 0 NAP 1 VERY ABLE. 2 SOMEWHAT ABLE. 3 NOT VERY ABLE. 4 NOT ABLE AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1627 ________________________________________________________________________ decmoney HOW ABLE TO MAKE OWN DECISIONS ABOUT MANAGING MONEY In your opinion, how able is NAME to make his/her own decisions about managing his/her own money -- very able, somewhat able, not very able or not able at all? VALUE LABEL 0 NAP 1 VERY ABLE. 2 SOMEWHAT ABLE. 3 NOT VERY ABLE. 4 NOT ABLE AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1628 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 639 imprvown HOW LIKELY WILL IMPROVE ON ITS OWN In your opinion, how likely is it that NAME's situation will improve on its own -- very likely, somewhat likely, somewhat unlikely, or not likely at all? VALUE LABEL 0 NAP 1 VERY LIKELY. 2 SOMEWHAT LIKELY. 3 SOMEWHAT UNLIKELY. 4 NOT LIKELY AT ALL. 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1629 ________________________________________________________________________ imprvtrt HOW LIKELY WILL IMPROVE WITH TREATMENT In your opinion, how likely is it that NAME's situation will improve with treatment -- very likely, somewhat likely, somewhat unlikely, or not likely at all? VALUE LABEL 0 NAP 1 VERY LIKELY. 2 SOMEWHAT LIKELY. 3 SOMEWHAT UNLIKELY. 4 NOT LIKELY AT ALL. 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1630 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 640 vignei HOW WILLING TO MOVE NEXT DOOR To move next door to NAME? VALUE LABEL 0 NAP 1 WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1631 ________________________________________________________________________ vigsoc HOW WILLING SOCIALIZING WITH To spend an evening socializing with NAME? VALUE LABEL 0 NAP 1 WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1632 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 641 vigfrnd HOW WILLING TO MAKE FRIENDS WITH To make friends with NAME? VALUE LABEL 0 NAP 1 WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1633 ________________________________________________________________________ vigwork HOW WILLING WORKING CLOSELY WITH To have NAME start working closely with you on a job? VALUE LABEL 0 NAP 1 WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1634 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 642 viggrp HOW WILLING TO HAVE A GROUP HOME IN NEIGHBORHOOD? To have a group home for people like NAME opened in your neighborhood? VALUE LABEL 0 NAP 1 WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1635 ________________________________________________________________________ vigmar HOW WILLING MARRY INTO YOUR FAMILY? To have NAME marry into your family? VALUE LABEL 0 NAP 1 WILLING 2 PROBABLY WILLING 3 PROBABLY UNWILLING 4 DEFINITELY UNWILLING 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1636 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 643 hurtoth HOW LIKELY TO BE VIOLENT TOWARD OTHER In your opinion, how likely is it NAME would do something violent toward other people? Is it: VALUE LABEL 0 NAP 1 VERY LIKELY. 2 SOMEWHAT LIKELY. 3 NOT VERY LIKELY 4 NOT LIKELY AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1637 ________________________________________________________________________ hurtself HOW LIKELY TO BE VIOLENT TOWARD HIM-HERSELF In your opinion, how likely is it NAME would do something violent toward him/herself? Is it: (ALLOWED DEFINITION: violent toward self: suicide, not eating, wandering in traffic, self-mutilation) VALUE LABEL 0 NAP 1 VERY LIKELY. 2 SOMEWHAT LIKELY. 3 NOT VERY LIKELY 4 NOT LIKELY AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1638 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 644 tlkfam TALK THINGS OVER WITH FAMILY & FRIENDS Talk things over with family and friends VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1639 ________________________________________________________________________ tlkclrgy TALK TO A MINISTER, PRIEST, RABBI ETC Talk to a minister, priest, rabbi or other religious leader VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1640 ________________________________________________________________________ meddoc GO TO A GENERAL MEDICAL DOCTOR Go to a general medical doctor for help VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1641 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 645 mentldoc GO TO A PSYCHIATRIST Go to a psychiatrist for help VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1642 ________________________________________________________________________ mentloth GO TO A THERAPIST, OR COUNSELOR Go to a therapist, or counselor, like a psychologist, social worker, or other mental health professional for help VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1643 ________________________________________________________________________ sphealer GO TO A SPIRITUAL OR A NATURAL HEALER Go to a spiritual or a natural healer for help VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1644 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 646 selfhelp JOIN A SELF-HELP GROUP Join a self-help group where people with similar problems help each other VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1645 ________________________________________________________________________ otcmed TAKE NON-PRESCRIPTION MEDICATION Take non-prescription medication, like over the counter sleeping pills VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1646 ________________________________________________________________________ rxmed TAKE PRESCRIPTION MEDICATION Take prescription medication VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1647 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 647 mentlhos CHECK INTO A MENTAL HOSPITAL Check into a mental hospital VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1648 ________________________________________________________________________ ortlkfm IN WHAT ORDER TALK THINGS OVER WITH FAMILY & FRIENDS Talk things over with family and friends VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/1649-1650 ________________________________________________________________________ ortlkclr IN WHAT ORDER TALK TO A MINISTER, PRIEST, RABBI ETC Talk to a minister, priest, rabbi or other religious leader VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/1651-1652 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 648 ormeddoc IN WHAT ORDER GO TO A GENERAL MEDICAL DOCTOR Go to a general medical doctor for help VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/1653-1654 ________________________________________________________________________ ormntldc IN WHAT ORDER GO TO A PSYCHIATRIST FOR HELP Go to a psychiatrist for help VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/1655-1656 ________________________________________________________________________ ormntlot IN WHAT ORDER GO TO A THERAPIST, OR COUNSELOR Go to a therapist, or counselor, like a psychologist, social worker, or other mental health professional for help VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/1657-1658 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 649 orhealer IN WHAT ORDER GO TO A SPIRITUAL OR A NATURAL HEALER Go to a spiritual or a natural healer for help VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/1659-1660 ________________________________________________________________________ orslfhlp IN WHAT ORDER JOIN A SELF-HELP GROUP Join a self-help group where people with similar problems help each other VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/1661-1662 ________________________________________________________________________ orotcmed IN WHAT ORDER TAKE NON-PRESCRIPTION MEDICATION Take non-prescription medication, like over the counter sleeping pills VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/1663-1664 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 650 orrxmed IN WHAT ORDER TAKE PRESCRIPTION MEDICATION Take prescription medication VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/1665-1666 ________________________________________________________________________ ormntlhs IN WHAT ORDER CHECK INTO A MENTAL HOSPITAL Check into a mental hospital VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/1667-1668 ________________________________________________________________________ mustdoc BE FORCED TO GET TREATMENT AT A CLINIC-DOCTOR Some cities and states have laws that force people with problems like NAME into treatment. Do you think that people like NAME should be forced by law to ... Get treatment at a clinic or from a doctor VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1669 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 651 mustmed BE FORCED TO TAKE A PRESCRIPTION MEDICATION Take a prescription medication to control his/her behavior VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1670 ________________________________________________________________________ musthosp BE FORCED TO BE ADMITTED TO A HOSPITAL Be admitted to a hospital for treatment VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1671 ________________________________________________________________________ dangrslf BE FORCED TO BE ADMITTED TO A HOSPITAL IF HURT SELF Be admitted to a hospital for treatment if s/he is dangerous to him/herself VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1672 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 652 dangroth BE FORCED TO BE ADMITTED TO A HOSPITAL IF HURT OTHERS Be admitted to a hospital for treatment if s/he is dangerous to others VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1673 ________________________________________________________________________ medcare1 WHO SHOULD PAY THE COST OF MEDICAL CARE In your opinion, who should be most responsible for paying the cost of NAME's medical care, including mental health care and treatment: VALUE LABEL 0 NAP 1 NAME, HIM-HERSELF 2 HIS-HER FAMILY 3 GOVERNMENT 4 INSURANCE 5 PRIVATE CHARITY. 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1674 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 653 medcare2 WHO SHOULD BE NEXT MOST RESPONSIBLE? [In your opinion, who should be most responsible for paying the cost of NAME's medical care, including mental health care and treatment:] Who should be next most responsible? VALUE LABEL 0 NAP 1 HIS-HER FAMILY 2 GOVERNMENT 3 INSURANCE. 4 PRIVATE CHARITY 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1675 ________________________________________________________________________ spmentl MORE OR LESS GOV. SPENDING FOR MENTAL HEALTH Earlier, we talked about various areas of government spending. Since we've been talking about the mental health area, please indicate whether you would like to see more or less government spending in the area of mental health care. Remember that if you say "much more," it might require a tax increase to pay for it. VALUE LABEL 0 NAP 1 SPEND MUCH MORE. 2 SPEND MORE 3 SPEND THE SAME AS NOW 4 SPEND LESS 5 SPEND MUCH LESS. 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1676 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 654 govmentl GOV. RESP. PROVIDE MENTAL HEALTH CARE? On the whole, do you think it should or should not be the government's responsibility to provide mental health care for persons with mental illnesses? VALUE LABEL 0 NAP 1 DEFINITELY SHOULD BE 2 PROBABLY SHOULD BE 3 PROBABLY SHOULD NOT BE 4 DEFINITELY SHOULD NOT BE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1677 ________________________________________________________________________ mntlas1 1ST MENTION, WHAT MENTAL ILLNESS IS, ASSERTED Of course, everybody hears a good deal about physical illness and disease, but now, what about the ones we call mental or nervous illness? When you hear someone say that a person is "mentally-ill," what does that mean to you? (PROBES: How would you describe a person who is mentally-ill? What do you think a mentally-ill person is like? What does a person like this do that tells you he is mentally-ill? How does a person like this act?) R's asserted references for what mental illness is -- First mention VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1678-1679 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 655 mntlas2 2ND MENTION, WHAT MENTAL ILLNESS IS, ASSERTED Of course, everybody hears a good deal about physical illness and disease, but now, what about the ones we call mental or nervous illness? When you hear someone say that a person is "mentally-ill," what does that mean to you? (PROBES: How would you describe a person who is mentally-ill? What do you think a mentally-ill person is like? What does a person like this do that tells you he is mentally-ill? How does a person like this act?) R's asserted references for what mental illness is -- Second mention VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1680-1681 ________________________________________________________________________ mntlimp1 1ST MENTION, WHAT MENTAL ILLNESS IS, IMPUTED R's imputed references for what mental illness is -- First mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1682-1684 ________________________________________________________________________ mntlimp2 2ND MENTION, WHAT MENTAL ILLNESS IS, IMPUTED R's imputed references for what mental illness is -- Second mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1685-1687 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 656 mntlimp3 3RD MENTION, WHAT MENTAL ILLNESS IS, IMPUTED R's imputed references for what mental illness is -- Third mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1688-1690 ________________________________________________________________________ mntlsym1 1ST MENTION, WHAT MENTAL ILLNESS IS, SYMPTOMS Symptoms or manifestations of mental illness -- First mention VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1691-1693 ________________________________________________________________________ mntlsym2 2ND MENTION, WHAT MENTAL ILLNESS IS, SYMPTOMS Symptoms or manifestations of mental illness -- Second mention VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1694-1696 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 657 mntlsym3 3RD MENTION, WHAT MENTAL ILLNESS IS, SYMPTOMS Symptoms or manifestations of mental illness -- Third mention VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1697-1699 ________________________________________________________________________ mntloth WHAT MENTAL ILLNESS IS, OTHER CODES Other mentions about the nature of mental illness. VALUE LABEL 0 NAP 9999 NA Data type: numeric Missing-data codes: 0,9999 Record/columns: 1/1700-1703 ________________________________________________________________________ brkdas1 1ST MENTION, WHAT NERVOUS BREAKDOWN IS, ASSERTED As far as you know, what is a nervous breakdown? (PROBES: How would you describe it? What is it like? What happens to a person who has one? How does he act?) R's asserted references for what a nervous breakdown is -- First mention. VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1704-1705 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 658 brkdas2 2ND MENTION, WHAT NERVOUS BREAKDOWN IS, ASSERTED As far as you know, what is a nervous breakdown? (PROBES: How would you describe it? What is it like? What happens to a person who has one? How does he act?) R's asserted references for what a nervous breakdown is -- Second mention. VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1706-1707 ________________________________________________________________________ brkdimp1 1ST MENTION, WHAT NERVOUS BREAKDOWN IS, IMPUTED R's imputed references for what a nervous breakdown is -- First mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1708-1710 ________________________________________________________________________ brkdimp2 2ND MENTION, WHAT NERVOUS BREAKDOWN IS, IMPUTED R's imputed references for what a nervous breakdown is -- Second mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1711-1713 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 659 brkdimp3 3RD MENTION, WHAT NERVOUS BREAKDOWN IS, IMPUTED R's imputed references for what a nervous breakdown is -- Third mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1714-1716 ________________________________________________________________________ brkdsym1 1ST MENTION, WHAT NERVOUS BREAKDOWN IS, SYMPTOMS Symptoms or manifestations of nervous breakdown -- First mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1717-1719 ________________________________________________________________________ brkdsym2 2ND MENTION, WHAT NERVOUS BREAKDOWN IS, SYMPTOMS Symptoms or manifestations of nervous breakdown -- Second mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1720-1722 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 660 brkdsym3 3RD MENTION, WHAT NERVOUS BREAKDOWN IS, SYMPTOMS Symptoms or manifestations of nervous breakdown -- Third mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1723-1725 ________________________________________________________________________ brkdoth WHAT NERVOUS BREAKDOWN IS, OTHER CODES Other mentions about the nature of a nervous breakdown. VALUE LABEL 0 NAP 9999 NA Data type: numeric Missing-data codes: 0,9999 Record/columns: 1/1726-1729 ________________________________________________________________________ knwmhosp KNOW ANYONE WHO WAS IN A HOSPITAL Did you ever know anyone who was in a hospital because of a mental illness? VALUE LABEL 0 NAP 1 YES 2 NO 8 NOT SURE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1730 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 661 relmhsp1 PATIENT WAS SELF Was this a relative, a close friend, or just someone you didn't know very well? (CIRCLE ALL THAT APPLY) PROBE UNTIL "NO": ANYONE ELSE? -- Respondent VALUE LABEL 0 NAP 1 SELF 2 NOT SELF 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1731 ________________________________________________________________________ relmhsp2 PATIENT WAS IMMEDIATE FAMILY Was this a relative, a close friend, or just someone you didn't know very well? (CIRCLE ALL THAT APPLY) PROBE UNTIL "NO": ANYONE ELSE? -- Immediate Family VALUE LABEL 0 NAP 1 IMM. FAM. 2 NOT IMM. FAM. 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1732 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 662 relmhsp3 PATIENT WAS OTHER RELATIVES Was this a relative, a close friend, or just someone you didn't know very well? (CIRCLE ALL THAT APPLY) PROBE UNTIL "NO": ANYONE ELSE? -- Other relatives. VALUE LABEL 0 NAP 1 OTH RELATIVE 2 NOT OTH RELATIVE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1733 ________________________________________________________________________ relmhsp4 PATIENT WAS CLOSE FRIEND Was this a relative, a close friend, or just someone you didn't know very well? (CIRCLE ALL THAT APPLY) PROBE UNTIL "NO": ANYONE ELSE? -- Close friends. VALUE LABEL 0 NAP 1 CLOSE FRIEND 2 NOT CLOSE FRIEND 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1734 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 663 relmhsp5 PATIENT WAS ACQUAINTANCE Was this a relative, a close friend, or just someone you didn't know very well? (CIRCLE ALL THAT APPLY) PROBE UNTIL "NO": ANYONE ELSE? -- Acquaintances. VALUE LABEL 0 NAP 1 ACQUAINTANCE 2 NOT ACQUAINTANCE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1735 ________________________________________________________________________ relmhsp6 PATIENT WAS OTHER Was this a relative, a close friend, or just someone you didn't know very well? (CIRCLE ALL THAT APPLY) PROBE UNTIL "NO": ANYONE ELSE? -- Other (specify). VALUE LABEL 0 NAP 1 OTHER 2 NOT OTHER 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1736 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 664 knwpatnt KNOWN ANYONE SEEING A PSYCHOLOGIST ETC? Have you ever known anyone (other than persons mentioned in Q.654) who was seeing a psychologist, mental health professional, social worker or other counselor? VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1737 ________________________________________________________________________ evbrkdwn EVER FELT GOING TO HAVE A NERVOUS BREAKDOWN? Have you ever felt that you were going to have a nervous breakdown? VALUE LABEL 0 NAP 1 YES 2 NO 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1738 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 665 brkdwhy1 1ST MENTION CAUSE OF NER. BREAK FEELINGS (IF YES TO Q.656A) Could you tell me about when you felt that way? What was it about? (PROBE: GET EXACT DATE and complete details.) The causes and sources of R's nervous breakdown -- First mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1739-1741 ________________________________________________________________________ brkdwhy2 2ND MENTION CAUSE OF NER. BREAK FEELINGS (IF YES TO Q.656A) Could you tell me about when you felt that way? What was it about? (PROBE: GET EXACT DATE and complete details.) The causes and sources of R's nervous breakdown -- Second mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1742-1744 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 666 brkdwhy3 3RD MENTION CAUSE OF NER. BREAK FEELINGS (IF YES TO Q.656A) Could you tell me about when you felt that way? What was it about? (PROBE: GET EXACT DATE and complete details.) The causes and sources of R's nervous breakdown -- Third mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1745-1747 ________________________________________________________________________ brkddo1 1ST MENTION WHAT R DID WHEN FELT NER. BREAK (IF EVER ANTICIPATED A NERVOUS BREAKDOWN) What did you do about it? (PROBE: Anything else? until R says no.) Which of these things did you do first; second; third? (INTERVIEWER: Sequence list; read back if needed.) What R did about the nervous breakdown - First mention. VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1748-1749 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 667 brkddo2 2ND MENTION WHAT R DID WHEN FELT NER. BREAK (IF EVER ANTICIPATED A NERVOUS BREAKDOWN) What did you do about it? (PROBE: Anything else? until R says no.) Which of these things did you do first; second; third? (INTERVIEWER: Sequence list; read back if needed.) What R did about the nervous breakdown - Second mention. VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1750-1751 ________________________________________________________________________ brkddo3 3RD MENTION WHAT R DID WHEN FELT NER. BREAK (IF EVER ANTICIPATED A NERVOUS BREAKDOWN) What did you do about it? (PROBE: Anything else? until R says no.) Which of these things did you do first; second; third? (INTERVIEWER: Sequence list; read back if needed.) What R did about the nervous breakdown - Third mention. VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1752-1753 ________________________________________________________________________ brkdhlp1 1ST MENTION WHAT HELP R SOUGHT R's sources of help during nervous breakdown -- First mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1754-1756 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 668 brkdhlp2 2ND MENTION WHAT HELP R SOUGHT R's sources of help during nervous breakdown -- Second mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1757-1759 ________________________________________________________________________ brkdhlp3 3RD MENTION WHAT HELP R SOUGHT R's sources of help during nervous breakdown -- Third mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1760-1762 ________________________________________________________________________ brkdtime WHEN FEELINGS OF NERVOUS BREAKDOWN HAPPENED The timing of R's nervous breakdown. VALUE LABEL 0 NAP 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1763 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 669 brkddur DURATION,SEVERITY OF NERVOUS BREAKDOWN FEELINGS The duration and severity of R's breakdown. VALUE LABEL 0 NAP 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1764 ________________________________________________________________________ evmhp EVER HAD MENTAL HEALTH PROBLEM (IF NO TO Q.656, ASK Q.656C) Have you ever felt you had a mental health problem? VALUE LABEL 0 NAP 1 YES 2 NO 8 NOT SURE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1765 ________________________________________________________________________ mnilwhy1 1ST MENTION CAUSE OF MENTAL ILLNESS FEELINGS (IF YES TO Q.656C ASK:) Could you tell me about when you felt that way? What was it about? (PROBE: GET EXACT DATE and complete details.) The causes and sources of R's mental illness -- First mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1766-1768 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 670 mnilwhy2 2ND MENTION CAUSE OF MENTAL ILLNESS FEELINGS (IF YES TO Q.656C ASK:) Could you tell me about when you felt that way? What was it about? (PROBE: GET EXACT DATE and complete details.) The causes and sources of R's mental illness -- Second mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1769-1771 ________________________________________________________________________ mnilwhy3 3RD MENTION CAUSE OF MENTAL ILLNESS FEELINGS (IF YES TO Q.656C ASK:) Could you tell me about when you felt that way? What was it about? (PROBE: GET EXACT DATE and complete details.) The causes and sources of R's mental illness -- Third mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1772-1774 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 671 mnildo1 1ST MENTION WHAT R DID WHEN FELT MENTAL ILLNESS (IF YES TO Q.656C ASK:) What did you do about it? (PROBE: Anything else? until R says no.) Which of these things did you do first; second; third? (INTERVIEWER: Sequence list; read back if needed.) What R did about the mental illness -- First mention. VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1775-1776 ________________________________________________________________________ mnildo2 2ND MENTION WHAT R DID WHEN FELT MENTAL ILLNESS (IF YES TO Q.656C ASK:) What did you do about it? (PROBE: Anything else? until R says no.) Which of these things did you do first; second; third? (INTERVIEWER: Sequence list; read back if needed.) What R did about the mental illness -- Second mention. VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1777-1778 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 672 mnildo3 3RD MENTION WHAT R DID WHEN FELT MENTAL ILLNESS (IF YES TO Q.656C ASK:) What did you do about it? (PROBE: Anything else? until R says no.) Which of these things did you do first; second; third? (INTERVIEWER: Sequence list; read back if needed.) What R did about the mental illness -- Third mention. VALUE LABEL 0 NAP 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1779-1780 ________________________________________________________________________ mnilhlp1 1ST MENTION WHAT HELP R SOUGHT R's sources of help during mental illness -- First mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1781-1783 ________________________________________________________________________ mnilhlp2 2ND MENTION WHAT HELP R SOUGHT R's sources of help during mental illness -- Second mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1784-1786 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 673 mnilhlp3 3RD MENTION WHAT HELP R SOUGHT R's sources of help during mental illness -- Third mention. VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 998,999,0 Record/columns: 1/1787-1789 ________________________________________________________________________ mniltime WHEN FEELINGS OF MENTAL ILLNESS HAPPENED The timing of R's mental illness. VALUE LABEL 0 NAP 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1790 ________________________________________________________________________ mnildur DURATION,SEVERITY OF FEELINGS OF MENTAL ILLNESS The duration and severity of R's mental illness. VALUE LABEL 0 NAP 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1791 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 674 privpray HOW OFTEN PRAY PRIVATELY How often do you pray privately in places other than at church or synagogue? VALUE LABEL 0 NAP 1 MRE THN ONCE/DAY 2 ONCE A DAY 3 A FEW TIMES/WEEK 4 ONCE A WEEK 5 FEW TIMES/MONTH 6 ONCE A MONTH 7 LESS ONCE/MNTH 8 NEVER 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1792-1793 ________________________________________________________________________ meditate HOW OFTEN MEDITATE Within your religious or spiritual tradition, how often do you meditate? VALUE LABEL 0 NAP 1 MRE THN ONCE/DAY 2 ONCE A DAY 3 A FEW TIMES/WEEK 4 ONCE A WEEK 5 FEW TIMES/MONTH 6 ONCE A MONTH 7 LESS ONCE/MNTH 8 NEVER 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1794-1795 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 675 conghlp1 HOW MUCH CONGREGATION HELP OUT WITH ILL These questions are designed to find out how much help the people in your congregation would provide if you needed it in the future. If you were ill, how much would the people in your congregation help you out? VALUE LABEL 0 NAP 1 A GREAT DEAL 2 SOME 3 A LITTLE 4 NONE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,9,8 Record/column: 1/1796 ________________________________________________________________________ conghlp2 HOW MUCH CONGREGATION HELP OUT WITH PROB If you had a problem or were faced with a difficult situation, how much comfort would the people in your congregation be willing to give you? VALUE LABEL 0 NAP 1 A GREAT DEAL 2 SOME 3 A LITTLE 4 NONE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,9,8 Record/column: 1/1797 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 676 conghrm1 HOW OFTEN CONGREGATION MAKE TOO MUCH DEMAND How often do the people in your congregation make too many demands on you. . . VALUE LABEL 0 NAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 ONCE IN A WHILE 4 NEVER 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,9,8 Record/column: 1/1798 ________________________________________________________________________ conghrm2 HOW OFTEN CONGREGATION CRITICAL OF THINGS R DO How often are the people in your congregation critical of you and the things you do . . . VALUE LABEL 0 NAP 1 VERY OFTEN 2 FAIRLY OFTEN 3 ONCE IN A WHILE 4 NEVER 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,9,8 Record/column: 1/1799 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 677 cope1 THINK ABOUT LIFE IS PART OF LARGER FORCE Think about how you try to understand and deal with major problems in your life. To what extent is each of the following involved in the way you cope: A. I think about how my life is part of a larger spiritual force. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,9,8 Record/column: 1/1800 ________________________________________________________________________ cope2 WORK TOGETJER WITH GOD AS PARTNERS B. I work together with God as partners. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,9,8 Record/column: 1/1801 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 678 cope3 LOOK TO GOD FOR STRENGTH & SUPORT C. I look to God for strength, support, guidance. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,9,8 Record/column: 1/1802 ________________________________________________________________________ cope4 FEEL GOD IS PUNISHING FOR SIN D. I feel that God is punishing me for my sins or lack of spirituality. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,9,8 Record/column: 1/1803 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 679 cope5 WONDER WHETEHR GOD HAS ABONDENED ME E. I wonder whether God has abandoned me. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,9,8 Record/column: 1/1804 ________________________________________________________________________ cope6 TRY TO MAKE SENSE WITHOUT RELYING ON GOD F. I try to make sense of the situation and decide what to do without relying on God. VALUE LABEL 0 NAP 1 A GREAT DEAL 2 QUITE A BIT 3 SOMEWHAT 4 NOT AT ALL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,9,8 Record/column: 1/1805 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 680 godwatch BELIEVE IN GOD WHO WATCH OVER ME I believe in a God who watches over me VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONG DISAGREE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1806 ________________________________________________________________________ lesspain FEEL DEEP SENS OF RESP FOR REDUCING PAIN I feel a deep sense of responsibility for reducing pain and suffering in the world VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONG DISAGREE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1807 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 681 rellife TRY TO CARRY BELIEFS INTO OTHER DEALINGS I try hard to carry my religious beliefs over into all my other dealings in life. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 DISAGREE 4 STRONG DISAGREE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1808 ________________________________________________________________________ forgive1 HAVE FORGIVEN SELF FOR MISTAKES Because of your religious or spiritual beliefs have you always, almost always, often, seldom, or never felt the following ways: A. I have forgiven myself for things that I have done wrong. VALUE LABEL 0 NAP 1 ALWYS/ALMST ALWY 2 OFTEN 3 SELDOM 4 NEVER 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1809 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 682 forgive2 HAVE FORGIVEN THOSE WHO HURT ME B. I have forgiven those who hurt me. VALUE LABEL 0 NAP 1 ALWYS/ALMST ALWY 2 OFTEN 3 SELDOM 4 NEVER 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1810 ________________________________________________________________________ forgive3 KNOW THAT GOD FORGIVES ME C. I know that God forgives me. VALUE LABEL 0 NAP 1 ALWYS/ALMST ALWY 2 OFTEN 3 SELDOM 4 NEVER 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1811 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 683 feelgod FEEL GODS PRESENCE The following questions deal with possible daily spiritual experiences. To what extent can you say you experience the following: A. I feel God's presence. VALUE LABEL 0 NAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVR-ALMOST NEVR 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1812 ________________________________________________________________________ relcmfrt FIND STRENGTH AND COMFORT IN RELIGION B. I find strength and comfort in my religion. VALUE LABEL 0 NAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVER/ALMST NEVR 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1813 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 684 harmony FEEL DEEP INNER PEACE OR HARMONY I feel deep inner peace or harmony. VALUE LABEL 0 NAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVR/ALMST NEVER 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1814 ________________________________________________________________________ uniongod DESIRE TO BE CLOSER TO GOD D. I desire to be closer to or in union with God. VALUE LABEL 0 NAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVER/ALMST NEVR 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1815 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 685 godlove FEEL GODS LOVE DIRECTLY OR THRU OTHERS I feel God's love for me, directly or through others. VALUE LABEL 0 NAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVER/ALMST NEVR 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1816 ________________________________________________________________________ beausprt SPIRITUALLY TOUCHED BY BEAUTY CREATION F. I am spiritually touched by the beauty of creation. VALUE LABEL 0 NAP 1 MANY TIMES A DAY 2 EVERY DAY 3 MOST DAYS 4 SOME DAYS 5 ONCE IN A WHILE 6 NEVER ALMST NEVR 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1817 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 686 nocheer IN PAST 30 DAYS FEEL SAD In the past 30 days, about how often did you feel: A. So sad nothing could cheer you up VALUE LABEL 0 NAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 SOME OF THE TIME 4 LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1818 ________________________________________________________________________ nervous IN PAST 30 DAYS FEEL NERVOUS B. Nervous VALUE LABEL 0 NAP 1 ALL THE TIME 2 MOST THE TIME 3 SOME OF TIME 4 LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1819 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 687 fidgety IN PAST 30 DAYS FEEL RESTLESS OR FIDGETY C. Restless or fidgety VALUE LABEL 0 NAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 SOME OF THE TIME 4 LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1820 ________________________________________________________________________ hopeless IN PAST 30 DAYS FEEL HOPLESS D. Hopeless VALUE LABEL 0 NAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 SOME OF THE TIME 4 LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1821 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 688 effort IN PAST 30 DAYS FEEL EVERTHING THING EFFORT E. That everything was an effort VALUE LABEL 0 NAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 SOME OF THE TIME 4 A LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1822 ________________________________________________________________________ wrthless IN PAST 30 DAYS FEEL WORTHLESS F. Worthless VALUE LABEL 0 NAP 1 ALL OF THE TIME 2 MOST OF THE TIME 3 SOME OF THE TIME 4 LITTLE OF TIME 5 NONE OF THE TIME 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1823 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 689 relpersn R CONSIDER SELF A RELIGIOUS PERSON To what extent do you consider yourself a religious person? Are you . . . VALUE LABEL 0 NAP 1 VERY RELIGIOUS 2 MODRTE RELIGIOUS 3 SLIGHT RELIGIOUS 4 NOT RELIGIOUS 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1824 ________________________________________________________________________ sprtprsn R CONSIDER SELF A SPIRITUAL PERSON To what extent do you consider yourself a spiritual person? Are you . . . VALUE LABEL 0 NAP 1 VERY SPIRITUAL 2 MODEATE SPIRTUAL 3 SLIGHT SPIRITUAL 4 NOT SPIRITUAL 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1825 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 690 relexp HAVE RELIGIOUS EXPERIENCE CHANGED LIFE Did you ever have a religious or spiritual experience that changed your life? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1826 ________________________________________________________________________ pubdef SHOULD MEDIA PUBLISH DEFENSE PLANS Suppose a newspaper got hold of confidential government papers about defense plans and wanted to publish them. Should the newspaper be allowed to publish the papers? (or) Should the government have the power to prevent publication? VALUE LABEL 0 NAP 1 ALLOW PUBLICATION 2 STOP PUBLICATION 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1827 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 691 pubecon SHOULD MEDIA PUBLISH ECONOMIC PLANS? Now suppose the confidential government papers were about economic plans. Should the newspaper be allowed to publish the papers? (or) Should the government have the power to prevent publication? VALUE LABEL 0 NAP 1 ALLOW PUBLICATION 2 STOP PUBLICATION 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1828 ________________________________________________________________________ obeylaw SHOULD PEOPLE OBEY LAWS WITHOUT EXCEPTN? In general, would you say that people should obey the law without exception, or are there exceptional occasions on which people should follow their consciences even if it means breaking the law? VALUE LABEL 0 NAP 1 ALWAYS OBEY LAW 2 FOLLOW CONSCIENCE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1829 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 692 protest1 ALLOW PUBLIC MEETINGS PROTESTING GOVT. There are many ways people or organizations can protest against a government action they strongly oppose. Please show which you think should be allowed and which should not be allowed by circling a number after each question. A. Organizing public meetings to protest against the government. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1830 ________________________________________________________________________ protest2 ALLOW PUBLICATIONS PROTESTING GOVT. B. Publishing pamphlets to protest against the government. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1831 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 693 protest3 ALLOW DEMONSTRATIONS PROTESTING GOVT. C. Organizing protest marches and demonstrations. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1832 ________________________________________________________________________ protest4 ALLOW OCCUPATION OF GOVT OFFICE. D. Occupying a government office and stopping work there for several days. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1833 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 694 protest5 ALLOW DAMAGE OF GOVT BUILDINGS. E. Seriously damaging government buildings. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1834 ________________________________________________________________________ protest6 ALLOW NATIONAL ANTI-GOVT STRIKE. F. Organizing a nationwide strike of all workers against the government. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1835 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 695 revspeak ALLOW REVOLUTIONARY PUBLIC MEETINGS. There are some people whose views are considered extreme by the majority. First, consider people who want to overthrow the ogvernment by revolution. Please circle a number after each question to show if you think such people should be allowed to: A. Hold public meetings to express their views. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1836 ________________________________________________________________________ revtch15 ALLOW REVOLUTIONARIES TO TEACH CHILDREN. B. Teach 15 year olds in schools. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1837 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 696 revpub ALLOW REVOLUTIONARIES TO PUBLISH BOOKS. C. Publish books expressing their views. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1838 ________________________________________________________________________ racspeak ALLOW RACISTS TO HOLD PUBLIC MEETINGS. Second, consider people who believe that whites are racially superior to all other races. Circle a number after each question to show if you think such people should be allowed to: A. Hold public meetings to express their views. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1839 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 697 ractch15 ALLOW RACISTS TO TEACH 15 YR. OLDS. B. Teach 15 year olds in schools. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1840 ________________________________________________________________________ racpub ALLOW RACISTS TO PUBLISH BOOKS. C. Publish books expressing their views. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1841 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 698 crimtail SHOULD POLICE TAIL A KNOWN CRIMINAL? Suppose the police get an anonymous tip that a man with a long criminal record is planning to break into a warehouse. Please circle a number for each question to show if you think police should be allowed without a court order to: A. Keep the man under surveillance. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1842 ________________________________________________________________________ crimtap SHOULD POLICE TAP PHONE OF A CRIMINAL? B. Tap his telephone. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1843 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 699 crimread SHOULD POLICE OPEN MAIL OF A CRIMINAL? C. Open his mail. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1844 ________________________________________________________________________ crimhold SHOULD POLICE DETAIN A KNOWN CRIMINAL? D. Detain the man overnight for questioning. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1845 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 700 mantail SHOULD POLICE TAIL A SUSPECT? Now, suppose the tip is about a man without a criminal record. Please circle a number for each qeustion to show if you think police should be allowed without a court order to: A. Keep the man under surveillance. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1846 ________________________________________________________________________ mantap SHOULD POLICE TAP PHONE OF A SUSPECT? B. Tap his telephone. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1847 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 701 manread SHOULD POLICE OPEN MAIL OF A SUSPECT? C. Open his mail. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1848 ________________________________________________________________________ manhold SHOULD POLICE DETAIN A SUSPECT? D. Detain the man overnight for questioning. VALUE LABEL 0 NAP 1 DEFINITELY ALLOWED 2 PROBABLY ALLOWED 3 PROB NOT ALLOWED 4 DEFINT. NOT ALLOWED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1849 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 702 verdict WORSE TYPE OF JUDICIAL MISTAKE. All systems of justice make mistakes, but which do you think is worse? 1. To convicet an innocent person. 2. To let a guilty person go free. VALUE LABEL 0 NAP 1 CONVICT INNOCENT 2 FREE THE GUILTY 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1850 ________________________________________________________________________ databank COMPUTER DATA THREAT TO INDIVIDL PRIVACY The federal government has a lot of different pieces of information about people which computers can bring together very quickly. Is this a very serious threat to individual privacy, a fairly serious threat, not a serious threat, or not a threat at all to individual privacy? VALUE LABEL 0 NAP 1 VERY SERIOUS THREAT 2 FAIRLY SERIOUS 3 NOT SERIOUS 4 NOT A THREAT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1851 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 703 progtax HOW MUCH INCOME TAX SHOULD RICH PAY? Some people think those with high incomes should pay a larger proportion (percentage) of thier earnings in taxes than those who earn low incomes. Other people think that those with high incomes and those with low incomes should pay the same proportion (percentage) of their earnings in taxes. Do you think those with high incomes should pay a much larger proportion, pay a larger proportion, pay the same proportion as those who earn low incomes, pay a smaller proportion, pay a much smaller proportion? VALUE LABEL 0 NAP 1 PAY MUCH MORE 2 PAY MORE 3 ALL PAY SAME 4 PAY LESS 5 PAY MUCH LESS 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1852 ________________________________________________________________________ eqincome GOVT SHOULD REDISTRIBUTE WEALTH. What is your opinion of the following statement? It is the responsibility of the government to reduce the differences in income between people with high incomes and those with low incomes. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1853 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 704 oprich CHILD OF RICH HAS BETTER OPPORTUNITY. Please indicate whether you agree or disagree with each of the following statements. A. A person whose parents are rich has a better chance of earning a lot of money than person whose parents are poor. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1854 ________________________________________________________________________ opprof CHILD OF PROFSSNL HAS BETTER OPPORTUNITY B. A person whose father is a professional has a much better chance of getting ahead in life than a person whose father is a factory worker. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1855 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 705 opfamily FAMILY BKGD DETERMINES SUCCESS IN U.S. C. In America what you achieve in life depends largely on you family background. VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1856 ________________________________________________________________________ fecolop COLLEGE OPPORTUNITIES FOR WOMEN. Would you say that opportunities for college education are, in general, better or worse, for women than for men? VALUE LABEL 0 NAP 1 MUCH BETTR FOR WOMEN 2 BETTER FOR WOMEN 3 NO DIFFERENCE 4 WORSE FOR WOMEN 5 MUCH WRSE FOR WOMEN 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1857 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 706 fejobop JOB OPPORTUNITIES FOR WOMEN. How about job opportunities for women--do you think they are, in general, better or worse than job opportunities for men with similar education and experience? VALUE LABEL 0 NAP 1 MUCH BETTR FOR WOMEN 2 BETTER FOR WOMEN 3 NO DIFFERENCE 4 WORSE FOR WOMEN 5 MUCH WRSE FOR WOMEN 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1858 ________________________________________________________________________ feinc INCOME FOR WOMEN VS. MEN WITH SAME BKGD. And how about income and wages -- compared with men who have similar education and jobs -- are women in general paid better or worse than men? VALUE LABEL 0 NAP 1 MUCH BETTR FOR WOMEN 2 BETTER FOR WOMEN 3 NO DIFFERENCE 4 WORSE FOR WOMEN 5 MUCH WRSE FOR WOMEN 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1859 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 707 fehlpbus GOVT SHOULD AID WOMEN SEEKING JOBS. Here are three things the government might do. Some people are in favor of them while other people are against them. Please circle one number for eahc statement to show how you feel. A. The government should increase opportunities for women in business and industry. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1860 ________________________________________________________________________ fehlpcol GOVT SHOULD AID WOMEN SEEKING HIGHER ED. B. The government should increase opportunities for women to go to college. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1861 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 708 fehlpjob WOMEN SHOULD BE GIVEN PREFERENCE IN JOBS C. Women should be given preferential treatment when applying for jobs or promotions. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1862 ________________________________________________________________________ hsbasics SCHOOL SUBJECTS: READING, WRITING, MATH. And now a few questions about education. Here are some things that might be taught in school. How importnat is it that schools teach each of these to 15 year olds? ? A. Reading, writing, and mathematics. VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1863 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 709 hssexed SCHOOL SUBJECTS: SEX EDUCATION. B. Sex education. VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1864 ________________________________________________________________________ hsrespct SCHOOL SUBJECTS: RESPECT FOR AUTHORITY. C. Respect for authority. VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1865 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 710 hslibart SCHOOL SUBJECTS: HISTORY, LITER., ARTS D. History, literature, and the arts. VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1866 ________________________________________________________________________ hsjudge SCHOOL SUBJECTS: GOOD JUDGEMENT. E. Ability to make one's own judgements. VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1867 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 711 hsjobtr SCHOOL SUBJECTS: JOB TRAINING. F. Job training. VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1868 ________________________________________________________________________ hssci SCHOOL SUBJECTS: SCIENCE AND TECHNOLOGY. G. Science and technology. VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1869 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 712 hscaring SCHOOL SUBJECTS: CONCERN FOR OTHERS. H. Concern for minorities and the poor. VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1870 ________________________________________________________________________ hsorder SCHOOL SUBJECTS: DISCIPLINE AND ORDER. I. Discipline and orderliness. VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT NEEDED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1871 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 713 colop SHOULD CHANCES FOR COLLEGE BE CHANGED? How do you feel about opportunities for young people to go to college. Should opportunities be... VALUE LABEL 0 NAP 1 INCREASED A LOT 2 INCREASED A LITTLE 3 KEPT THE SAME 4 REDUCED A LITTLE 5 REDUCED A LOT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1872 ________________________________________________________________________ aidneedy GOVT MONEY FOR LOW INCOME STUDENTS. Some people think the government should provide financial assistance to college students. Others think the government should not provide such aid. In each of the circumstances listed below should the government provide grants that would not have to be paid back, provide loans which the student would have to pay back, or should the government not provide any financial assistance? A. for students whose parents have a low income. VALUE LABEL 0 NAP 1 GOVT GIVE GRANTS 2 GOVT MAKE LOANS 3 NO GOVT ASST 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1873 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 714 aidsmart GOVT MONEY FOR HIGH ACHIEVING STUDENTS. B. For students who have outstanding grades in high school. VALUE LABEL 0 NAP 1 GOVT GIVE GRANTS 2 GOVT MAKE LOANS 3 NO GOVT ASST 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1874 ________________________________________________________________________ aidavg GOV $ FOR STDNTS WITH AVG INC AND GRADES C. For students who have average grades and middle income parents. VALUE LABEL 0 NAP 1 GOVT GIVE GRANTS 2 GOVT MAKE LOANS 3 NO GOVT ASST 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1875 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 715 kiddrugs GOVT INTERVENE: CHILD USES DRUGS. Sometimes public authorities intervene with parents in raising their children. Please indicate in each of the following cases how far you think authorities should go in dealing with a 10 year old child and his or her parents. A. The child uses drugs and the parents don't do anything about it. Public authorities should: VALUE LABEL 0 NAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1876 ________________________________________________________________________ kidskips GOVT INTERVENE: CHILD SKIPS SCHOOL. B. The child frequently skips school and the parents don't do anything about it. VALUE LABEL 0 NAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1877 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 716 kidout GOVT INTERVENE: CHILD STAYS OUT LATE. C. The parents regularly let the child stay out late at night without knowing where the child is. VALUE LABEL 0 NAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1878 ________________________________________________________________________ kidneedy GOVT INTERVENE: CHILD IS NEGLECTED. D. The parents fail to provide the child with proper food and clothing. VALUE LABEL 0 NAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1879 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 717 kidbeat GOVT INTERVENE: CHILD IS ABUSED. E. The parents regularly beat the child. VALUE LABEL 0 NAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1880 ________________________________________________________________________ kidhlth GOVT INTERVENE: CHILD NOT GIVN MED TRTMT F. The parents refuse essential medical treatment for the child because of their religious beliefs. VALUE LABEL 0 NAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1881 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 718 kidedpar GOVT INTERVENE: CHILD NOT SENT TO SCHOOL G. The parents refuse to send their child to school because they wish to educate the child at home. VALUE LABEL 0 NAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1882 ________________________________________________________________________ kidxfilm GOVT INTERVENE: CHLD ALLOWED TO SEE PORN H. The parents allow the child to watch violent or pornographic films. VALUE LABEL 0 NAP 1 TAKE NO ACTION 2 GIVE WARNING 3 TAKE CHILD 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1883 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 719 beltup GOVT SHOULD REQUIRE USE OF SEAT BELTS. Do you think that the wearing of seat belts in cars should be required by law? VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1884 ________________________________________________________________________ nosmoke GOV SHOULD PROHIBIT SMOKING IN PUB AREAS Do you think that smoking in public places should be prohibiited by law? VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1885 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 720 mustret GOVT SHOULD ENFORCE MANDATORY RETIREMENT Do you think that all employees should be required to retire at an age set by law? VALUE LABEL 0 NAP 1 AGREE STRONGLY 2 AGREE 3 NEITHER 4 DISAGREE 5 DISAGREE STRONGLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1886 ________________________________________________________________________ poleff1 PUBLIC HAS LITTLE CONTROL OVER POLITICNS Please indicate whether you agree or disagree with each of the following statements. A. The public has little control over what politicians do in office. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1887 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 721 poleff2 NOT WORTH TALKING TO POLITICIANS. B. The average person can get nowhere by talking to public officials. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1888 ________________________________________________________________________ poleff3 AVG PERSON CAN INFLUENCE POLITICIANS. C. The average citizen has considerable indluence on politics. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1889 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 722 poleff4 AVG PERSON CAN INFLUENCE LOCAL GOVT. D. The average person has much to say about running local government. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1890 ________________________________________________________________________ poleff5 PEOPLE LIKE ME HAVE MUCH TO SAY RE GOVT. E. People like me have much to say about government. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1891 ________________________________________________________________________ poleff6 AVG PERSON CAN INFLUENCE GOVT DECISIONS. F. The average person has a great deal of influence on government decisions. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1892 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 723 poleff7 GOVT IS GENERALLY RESPONSIVE TO PUBLIC. G. The government is generally responsive to public opinion. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1893 ________________________________________________________________________ poleff8 I AM USUALLY INTERESTED IN LOCAL ELECTNS H. I am usually interested in local elections. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1894 ________________________________________________________________________ poleff9 PEOPLE CAN CONTROL WORLD AFFAIRS. I. By taking an active part in political and social affairs the people can control world affairs. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1895 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 724 poleff10 THE WORLD IS GETTING BETTER. J. Taking everything into account, the world is getting better. VALUE LABEL 0 NAP 1 AGREE 2 DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1896 ________________________________________________________________________ setwage GOVT CONTROL OF WAGES. Here are some things the government might do for the economy. Circle one number for each action to show whether you are in favor of it or against it. A. control of wages by legislation. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1897 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 725 setprice GOVT CONTROL OF PRICES. B. Control of prices by legislation. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1898 ________________________________________________________________________ cutgovt CUTS IN GOVT SPENDING. C. Cuts in government spending. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1899 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 726 makejobs GOVT CREATE NEW JOBS. D. Government financing of projects to create new jobs. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1900 ________________________________________________________________________ lessreg LESS GOVT REGULATION OF BUSINESS. E. Less government regulation of business. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1901 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 727 hlphitec GOVT SUPPORT FOR NEW PRODUCTS AND TECH. F. Support for industry to develop new products and technology. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1902 ________________________________________________________________________ savejobs GOVT SUPPORT FOR DECLINING INDUSTRIES. G. Supporting declining industries to protect jobs. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1903 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 728 cuthours REDUCTION IN LENGTH OF WORK WEEK. H. Reducing the work week to create more jobs. VALUE LABEL 0 NAP 1 STRONGLY IN FAVOR 2 IN FAVOR 3 NEITHER 4 AGAINST 5 STRONGLY AGAINST 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1904 ________________________________________________________________________ spenviro GOVT SPENDING ON ENVIRONMENT. Listed below are various areas of government spending. Please indicate whether you would like to see more of less government spending in each area. Remember that if you say "much more," it might require a tax increase to pay for it. A. The environment. VALUE LABEL 0 NAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1905 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 729 sphlth GOVT SPENDING ON HEALTH. B. Health. VALUE LABEL 0 NAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1906 ________________________________________________________________________ sppolice GOVT SPENDING ON LAW ENFORCEMENT. C. The police and law enforcement. VALUE LABEL 0 NAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1907 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 730 spschool GOVT SPENDING ON EDUCATION. D. Education. VALUE LABEL 0 NAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1908 ________________________________________________________________________ sparms GOVT SPENDING ON DEFENSE. E. The military and defense. VALUE LABEL 0 NAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1909 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 731 spretire GOVT SPENDING ON RETIREMENT BENEFITS. F. Retirement benefits. VALUE LABEL 0 NAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1910 ________________________________________________________________________ spunemp GOVT SPENDING ON UNEMPLOYMENT BENEFITS. G. Unemployment benefits. VALUE LABEL 0 NAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1911 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 732 sparts GOVT SPENDING ON CULTURE AND THE ARTS. H. Culture and the arts. VALUE LABEL 0 NAP 1 SPEND MUCH MORE 2 SPEND MORE 3 SPEND SAME 4 SPEND LESS 5 SPEND MUCH LESS 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1912 ________________________________________________________________________ inctax AMOUNT OF TAX ON RS HOUSEHOLD INCOME. Do you consider the amount of federal income tax that your household has to pay is... VALUE LABEL 0 NAP 1 MUCH TOO HIGH 2 TOO HIGH 3 ABOUT RIGHT 4 TOO LOW 5 MUCH TOO LOW 6 DOES NOT APPLY 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1913 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 733 bustax AMOUNT OF TAX ON BUSINESS AND INDUSTRY. Do you consider the amount of tax that business and industry have to pay is too high or too low? VALUE LABEL 0 NAP 1 MUCH TOO HIGH 2 TOO HIGH 3 ABOUT RIGHT 4 TOO LOW 5 MUCH TOO LOW 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1914 ________________________________________________________________________ infljobs TOP PRIORITY OF GOVT: INFLATION OR JOBS? If the government had to choose between keeping down inflation or keeping down unemployment to which do you think it should give highest priority? VALUE LABEL 0 NAP 1 KEEP DOWN INFLATION 2 KEEP DOWN UNEMPLYMNT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1915 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 734 laborpow POWER OF LABOR UNIONS IN RS COUNTRY. Do you think that labor unions in this country have too much power or too little power? VALUE LABEL 0 NAP 1 FAR TOO MUCH POWER 2 TOO MUCH POWER 3 RIGHT AMNT OF POWER 4 TOO LITTLE POWER 5 FAR TOO LITTLE POWER 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1916 ________________________________________________________________________ buspow POWER OF BUSINESS AND INDUSTRY. How about business and industry, do they have too much power or too little power? VALUE LABEL 0 NAP 1 FAR TOO MUCH POWER 2 TOO MUCH POWER 3 RIGHT AMNT OF POWER 4 TOO LITTLE POWER 5 FAR TOO LITTLE POWER 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1917 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 735 govtpow POWER OF FEDERAL GOVT. And what about the federal government, does it have too much power or too little power? VALUE LABEL 0 NAP 1 FAR TOO MUCH POWER 2 TOO MUCH POWER 3 RIGHT AMNT OF POWER 4 TOO LITTLE POWER 5 FAR TOO LITTLE POWER 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1918 ________________________________________________________________________ ownpower GOVTS ROLE IN ELECTRIC POWER. What do you think the government's role in each of these industries should be. A. Electric power. VALUE LABEL 0 NAP 1 OWN IT 2 CONTROL PRICES 3 LEAVE ALONE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1919 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 736 ownmass GOVTS ROLE IN LOCAL MASS TRANSPORTATION B. Local mass transportation. VALUE LABEL 0 NAP 1 OWN IT 2 CONTROL PRICES 3 LEAVE ALONE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1920 ________________________________________________________________________ ownsteel GOVTS ROLE IN THE STEEL INDUSTRY. C. The steel industry. VALUE LABEL 0 NAP 1 OWN IT 2 CONTROL PRICES 3 LEAVE ALONE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1921 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 737 ownbanks GOVTS ROLE IN BANKING AND INSURANCE. D. Banking and insurance. VALUE LABEL 0 NAP 1 OWN IT 2 CONTROL PRICES 3 LEAVE ALONE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1922 ________________________________________________________________________ ownautos GOVTS ROLE IN AUTOMOBILE INDUSTRY. E. The automobile industry. VALUE LABEL 0 NAP 1 OWN IT 2 CONTROL PRICES 3 LEAVE ALONE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1923 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 738 jobsall GOVTS RESP: PROVIDE JOBS FOR ALL. On the whole, do you think it should or should not be the government's responsibility to: A. Provide a job for everyone who wants one. VALUE LABEL 0 NAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1924 ________________________________________________________________________ pricecon GOVTS RESP: KEEP PRICES UNDER CONTROL. B. Keep prices under control. VALUE LABEL 0 NAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1925 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 739 hlthcare GOVTS RESP: PROVIDE HLTH CARE FOR SICK C. Provide health care for the sick. VALUE LABEL 0 NAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1926 ________________________________________________________________________ aidold GOVTS RESP: PROVIDE FOR THE ELDERLY. D. Provide a decent standard of living for the old. VALUE LABEL 0 NAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1927 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 740 aidindus GOVTS RESP: ASSIST INDUSTRIAL GROWTH. E. Provide industry with the help it needs to grow. VALUE LABEL 0 NAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1928 ________________________________________________________________________ aidunemp GOVTS RESP: PROVIDE FOR THE UNEMPLOYED. F. Provide a decent standard of living for the unemployed. VALUE LABEL 0 NAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1929 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 741 equalize GOVTS RESP: REDUCE INCOME DIFFERENCES. G. Reduce income differences between the rich and poor. VALUE LABEL 0 NAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1930 ________________________________________________________________________ aidcol GOV. SHOULD ASSIST LOW-INCOME COLLEGE STUDENT H. Give financial assistance to college students from low-income families. VALUE LABEL 0 NAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1931 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 742 aidhouse GOV. SHOULD PROVIDE HOUSING TO POOR I. Provide decent housing for those who can't afford it. VALUE LABEL 0 NAP 1 DEFIN SHOULD BE 2 PROBAB SHOULD BE 3 PROB SHOULD NOT BE 4 DEFIN SHOULD NOT BE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1932 ________________________________________________________________________ protstrs FEEL ABOUT PEOPLE PROTEST GOV. What are your personal feelings about: A. People who organize protests against a government action they strongly oppose. VALUE LABEL 0 NAP 1 EXTREMELY FAVORABLE 2 FAVORABLE 3 NEITHER FAVORABLE OR UNFAVORABLE 4 UNFAVORABLE 5 EXTREMELY UNFAVORABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1933 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 743 revoltrs FEEL ABOUT PEOPLE WANT TO OVERTHROW GOV. B. People who want to overthrow the government by revolution. VALUE LABEL 0 NAP 1 EXTREMELY FAVORABLE 2 FAVORABLE 3 NEITHER FAVORABLE OR UNFAVORABLE 4 UNFAVORABLE 5 EXTREMELY UNFAVORABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1934 ________________________________________________________________________ racists FEEL ABOUT PEOPLE WHO ARE RACIST. C. People who believe whites are racially superior to all otehr races. VALUE LABEL 0 NAP 1 EXTREMELY FAVORABLE 2 FAVORABLE 3 NEITHER FAVORABLE OR UNFAVORABLE 4 UNFAVORABLE 5 EXTREMELY UNFAVORABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1935 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 744 unionsok HOW GOOD UNION FOR THE COUNTRY. In general, how good would you say labor unions are for the country as a whole? VALUE LABEL 0 NAP 1 EXCELLENT 2 VERY GOOD 3 FAIRLY GOOD 4 NOT VERY GOOD 5 NOT GOOD AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1936 ________________________________________________________________________ polint YOUR INTEREST IN POLITICS. How interested would you say you personally are in politics? VALUE LABEL 0 NAP 1 VERY INTERESTED 2 FAIRLY INTERESTED 3 SOMEWHAT INTERESTED 4 NOT VERY INTERESTED 5 NOT AT ALL INTERESTED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1937 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 745 rprtst1 WOULD YOU ATTEND A PUBLIC MEETING Would you or would you not do any of the following to protest against a government action you strongly opposed? PLEASE CHECK ONE BOX ON EACH LINE. Attend a public meeting organized to protest against the government VALUE LABEL 0 NAP 1 DEFINIETLY WOULD 2 PROBABLY WOULD 3 PROBABLY WOULD NOT 4 DEFINITELY WOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1938 ________________________________________________________________________ rprtst3 WOULD YOU GO ON A PROTEST MARCH-DEMONSTRATION Go on a protest march or demonstration VALUE LABEL 0 NAP 1 DEFINIETLY WOULD 2 PROBABLY WOULD 3 PROBABLY WOULD NOT 4 DEFINITELY WOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1939 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 746 rprtst15 HOW MANY TIMES BE A PUBLIC MEETING PAST 5 YRS And in the past five years how many times have you done each of the following to protest against a government action you strongly oppose? PLEASE CHECK ONE BOX ON EACH LINE Attended a public meeting organized to protest against the government VALUE LABEL 0 NAP 1 NEVER 2 ONCE 3 MORE THAN ONCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1940 ________________________________________________________________________ rprtst35 HOW MANY TIMES GONE ON A PROTEST MARCH PAST 5 YRS Gone on a protest march or demonstration VALUE LABEL 0 NAP 1 NEVER 2 ONCE 3 MORE THAN ONCE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1941 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 747 grnlaws GOV RESP TO TO MAKE INDUSTRY LESS DAMAGING On the whole, do you think it should or should not be the government's responsibility to impose strict laws to make industry do less damage to the environment? VALUE LABEL 0 NAP 1 DEFINITELY SHOULD BE 2 PROBABLY SHOULD BE 3 PROBABABLY SHOULD NOT BE 4 DEFINITELY SHOULD NOT BE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1942 ________________________________________________________________________ poleff11 DON'T HAVE ANY SAY ABOUT WHAT THE GOVERNMENT DOES People like me don't have any say about what the government does VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1943 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 748 poleff12 EVEN BEST POLITICIAN CANNOT HAVE MUCH IMPACT Even the best politician cannot have much impact because of the way government works VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1944 ________________________________________________________________________ poleff13 HAVE A PRETTY GOOD UNDERSTANDING OF ISSUES I feel that I have a pretty good understanding of the important political issues facing our country VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1945 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 749 poleff14 ELECTIONS A GOOD WAY OF MAKING GOV PAY ATTENTION Elections are a good way of making governments pay attention to what the people think VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1946 ________________________________________________________________________ poleff15 MOST PEOPLE BETTER INFORMED ABOUT POLITICS THAN I I think most people are better informed about politics and government than I am VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1947 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 750 poleff16 PEOPLE ELECTED TO CONGRESS TRY TO KEEP PROMISES People we elect to Congress try to keep the promises they have made during the election VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1948 ________________________________________________________________________ poleff17 MOST GOVERNMENT ADMINISTRATORS CAN BE TRUSTED Most government administrators can be trusted to do what is best for the country VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1949 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 751 demworks HOW WELL THE SYSTEM OF DEMOCRACY IN AMERICA WORKS? All in all, how well or badly do you think the system of democracy in America works these days? VALUE LABEL 0 NAP 1 IT WORKS WELL AND NEEDS NO CHANGES 2 IT WORKS WELL BUT NEEDS SOME CHANGES 3 NEEDS A LOT OF CHANGES 4 NEEDS TO BE COMPLETELY CHANGED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1950 ________________________________________________________________________ taxspend CHOICE BETWEEN REDUCING TAXES OR SPENDING MORE And now some questions about taxes. If the government had a choice between reducing taxes or spending more on social programs like health care, social security, and unemployment benefits, which do you think it should do? (We mean all taxes together, including social security, income tax, sales tax, and all the rest.) VALUE LABEL 0 NAP 1 REDUCE TAXES 2 SPEND MORE ON SOCIAL PROGRAMS 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1951 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 752 runpower ELECTRIC POWER SHOULD MAINLY BE RUN BY PRIVATE Electric Power VALUE LABEL 0 NAP 1 BY PRIVATE 2 BY THE GOVERNMENT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1952 ________________________________________________________________________ runhosp HOSPITALS SHOULD MAINLY BE RUN BY PRIVATE Hospitals VALUE LABEL 0 NAP 1 BY PRIVATE 2 BY THE GOVERNMENT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1953 ________________________________________________________________________ runbanks BANKS SHOULD MAINLY BE RUN BY PRIVATE Banks VALUE LABEL 0 NAP 1 BY PRIVATE 2 BY THE GOVERNMENT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1954 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 753 cutdebt SHOULD THE GOVERNMENT CUT DEBT? Suppose the level of taxation in America stays the same as it is now. Should the government spend the same amount as now on social programs like health care, social security, and unemployment benefits, even if this means the national deficit or debt stays as it is, or spend less than now on social programs like health care, social security, and unemployment benefits, so that the national deficit or debt can be reduced? VALUE LABEL 0 NAP 1 SPEND ON SOCIAL PROGRAMS LIKE HEALTH 2 SPEND LESS THAN NOW ON SOCIAL PROGRAMS 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1955 ________________________________________________________________________ opwlth NEED WEALTHY FAMILY TO GET AHEAD To begin, we have some questions about opportunities for getting ahead. Please show for each of these how important you think it is for getting ahead in life: A. First, how important is coming from a wealthy family? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1956 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 754 oppared NEED EDUCATED PARENTS TO GET AHEAD B. Having well educated parents? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1957 ________________________________________________________________________ opeduc NEED GOOD EDUCATION TO GET AHEAD C. Having a good education yourself? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1958 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 755 opambit NEED AMBITION TO GET AHEAD D. Ambition? -- How important is that? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1959 ________________________________________________________________________ opable NEED NATURAL ABILITY TO GET AHEAD E. Natural ability? -- How important is that? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1960 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 756 ophrdwrk NEED TO WORK HARD TO GET AHEAD F. Hard work -- how important is that for getting ahead in life? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1961 ________________________________________________________________________ opknow NEED TO KNOW RIGHT PEOPLE TO GET AHEAD G. Knowing the right people? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1962 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 757 opclout NEED POLITICAL CONNECTIONS TO GET AHEAD H. Having political connections? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1963 ________________________________________________________________________ oprace NEED TO BE RIGHT RACE TO GET AHEAD I. A person's race -- how important is that? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1964 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 758 oprelig NEED TO BE RIGHT RELIGION TO GET AHEAD J. A person's religion? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1965 ________________________________________________________________________ opregion MUST BE FROM RIGHT REGION TO GET AHEAD K. The part of the country a person comes from? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1966 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 759 opsex NEED TO BE RIGHT SEX TO GET AHEAD L. Being born a man or a woman -- how important is that for getting ahead in life? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1967 ________________________________________________________________________ oppol MUST HAVE CERTAIN POLVIEWS TO GET AHEAD M. A person's political beliefs? VALUE LABEL 0 NAP 1 ESSENTIAL 2 VERY IMPORTANT 3 FAIRLY IMPORTANT 4 NOT VERY IMPORTANT 5 NOT IMPORTANT AT ALL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1968 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 760 goodlife STANDARD OF LIVING OF R WILL IMPROVE The way things are in America, people like me and my family have a good chance of improving our standard of living -- do you agree or disagree? VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1969 ________________________________________________________________________ incentiv PAY DIFFERENCES NEEDED FOR MOTIVATION Some people earn a lot of money while others do not earn very much at all. In order to get people to work hard, do you think large differences in pay are... VALUE LABEL 0 NAP 1 ABSOLUTELY NECCESSARY 2 PROBABLY NECCESSARY 3 PROBABLY NOT NECC 4 DEFINITELY NOT NECC 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1970 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 761 inequal1 EXTRA PAY -> PEOPLE TAKE RESPONSIBILITY Do you agree or disagree: A. People would not want to take extra responsibility at work unless they were paid extra for it. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1971 ________________________________________________________________________ inequal2 EXTRA PAY -> WORKERS ACQUIRE SKILLS B. Workers would not bother to get skills and qualifications unless they were paid extra for having them. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1972 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 762 inequal3 INEQUALITY EXISTS FOR BENEFIT OF RICH C. Inequality continues to exist because it benefits the rich and powerful. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1973 ________________________________________________________________________ inequal4 EXTRA PAY -> PEOPLE EARN DEGREES D. No one would study for years to become a lawyer or doctor unless they expected to earn a lot more than ordinary workers. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1974 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 763 inequal5 PAY DIFFERENCES -> AMERICAN PROSPERITY E. Large differences in income are necessary for America's prosperity. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1975 ________________________________________________________________________ inequal6 EVERYONE BENEFITS FROM BUSINESS PROFITS F. Allowing business to make good profits is the best way to improve everyone's standard of living. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1976 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 764 inequal7 INEQUALITY DUE TO LACK OF SOLIDARITY G. Inequality continues to exist because ordinary people don't join together to get rid of it. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1977 ________________________________________________________________________ paymason HOW MUCH R THINKS BRICKLAYER MAKES We would like to know what you think people in these jobs actually earn. Please write in how much you think they usually earn, each year, before taxes. Many people are not exactly sure about his but your best guess will be close enough. This may be difficult, but it is very important. So please try. Please write in how much they actually earn each year. A. First, about how much do you think a bricklayer earns? VALUE LABEL -1 NAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/1978-1983 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 765 paydoc HOW MUCH R THINKS DOCTOR MAKES B. A doctor in general practice? VALUE LABEL -1 NAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/1984-1989 ________________________________________________________________________ payclerk HOW MUCH R THINKS BANK CLERK MAKES C. A bank clerk? VALUE LABEL -1 NAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/1990-1995 ________________________________________________________________________ payexec HOW MUCH R THINKS CORPORATE HEAD MAKES E. The chairman of a large national corporation? VALUE LABEL -1 NAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/1996-2001 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 766 payskill HOW MUCH R THINKS SKILLED WORKER MAKES F. A skilled worker in a factory? VALUE LABEL -1 NAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2002-2007 ________________________________________________________________________ payfarm HOW MUCH R THINKS FARM WORKER MAKES G. A farm laborer? VALUE LABEL -1 NAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2008-2013 ________________________________________________________________________ paysec HOW MUCH R THINKS SECRETARY MAKES H. A secretary? VALUE LABEL -1 NAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2014-2019 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 767 paybus HOW MUCH R THINKS BUS DRIVER MAKES I. A city bus driver? VALUE LABEL -1 NAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2020-2025 ________________________________________________________________________ payunskl HOW MUCH R THINKS UNSKILLED WRKR MAKES J. An unskilled worker in a factory? VALUE LABEL -1 NAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2026-2031 ________________________________________________________________________ paycabnt HOW MUCH R THINKS CABINET MEMBER MAKES K. A member of the cabinet in the federal government? VALUE LABEL -1 NAP 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2032-2037 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 768 givmason HOW MUCH OUGHT MASON MAKE? Next, what do you think people in these jobs ought to be paid -- how much do you think they should earn each year before taxes, regardless of what they actually get? Please write in how much they should earn each year. A. First, about how much do you think a bricklayer should earn? VALUE LABEL -1 NAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2038-2043 ________________________________________________________________________ givdoc HOW MUCH OUGHT DOCTOR MAKE? B. A doctor in general practice? VALUE LABEL -1 NAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2044-2049 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 769 givclerk HOW MUCH OUGHT BANK CLERK MAKE? C. A bank clerk? VALUE LABEL -1 NAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2050-2055 ________________________________________________________________________ givowner HOW MUCH OUGHT OWNER-MANAGER MAKE D. The owner of a small shop? VALUE LABEL -1 NAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2056-2061 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 770 givexec HOW MUCH OUGHT CORPORATE HEAD MAKE? E. The chairman of a large national corporation? VALUE LABEL -1 NAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2062-2067 ________________________________________________________________________ givskill HOW MUCH OUGHT SKILLED WORKER MAKE? F. A skilled worker in a factory? VALUE LABEL -1 NAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2068-2073 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 771 givfarm HOW MUCH OUGHT FARM WORKER MAKE? G. A farm laborer? VALUE LABEL -1 NAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2074-2079 ________________________________________________________________________ givsec HOW MUCH OUGHT SECRETARY MAKE? H. A secretary? VALUE LABEL -1 NAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2080-2085 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 772 givbus HOW MUCH OUGHT BUS DRIVER MAKE? I. A city bus driver? VALUE LABEL -1 NAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2086-2091 ________________________________________________________________________ givunskl HOW MUCH OUGHT UNSKILLED WORKER MAKE? J. An unskilled worker in a factory? VALUE LABEL -1 NAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2092-2097 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 773 givcabnt HOW MUCH OUGHT CABINET MEMBER MAKE? K. A member of the cabinet in the federal government? VALUE LABEL -1 NAP 999992 MT NOW PAID 999993 SAME AS NOW PAID 999994 LT NOW PAID 999996 > 1000000 999997 NEVER WORKED 999998 DK 999999 NA Data type: numeric Missing-data codes: 999998,999999,-1 Record/columns: 1/2098-2103 ________________________________________________________________________ incgap INCOME DIFFERENTIALS IN USA TOO BIG Do you agree or disagree. A. Differences in income in America are too large. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2104 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 774 goveqinc GOVMNT SHOULD REDUCE INC DIFFERENTIALS B. It is the responsibility of the government to reduce differences in income between people with high incomes and those with low incomes. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2105 ________________________________________________________________________ govedop GOVMNT SHOULD HELP POOR ATTEND COLLEGE C. The government should provide more chances for children from poor families to go to college. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2106 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 775 govjobs GOVMNT SHOULD PROVIDE JOBS D. The government should provide a job for everyone who wants one. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2107 ________________________________________________________________________ govless GOVMNT SHOULD SPEND LESS ON POOR E. The government should spend less on benefits for the poor. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2108 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 776 govunemp GOVMNT SHOULD PROVIDE UNEMP BENEFITS F. The government should provide a decent standard of living for the unemployed. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2109 ________________________________________________________________________ govminc GOVMNT SHOULD PROVIDE MINIMUM INCOME G. The government should provide everyone with a guaranteed basic income. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2110 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 777 taxrich TAXES ON HIGH INCOME PEOPLE TOO HIGH Generally, how would you describe taxes in America today...We mean all taxes together, including social security, income tax, sales tax, and all the rest. A. First, for those with high incomes, are taxes... VALUE LABEL 0 NAP 1 MUCH TOO HIGH 2 TOO HIGH 3 ABOUT RIGHT 4 TOO LOW 5 MUCH TOO LOW 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2111 ________________________________________________________________________ taxmid TAXES ON MIDDLE INCOME PEOPLE TOO HIGH B. Next, for those with middle incomes, are taxes... VALUE LABEL 0 NAP 1 MUCH TOO HIGH 2 TOO HIGH 3 ABOUT RIGHT 4 TOO LOW 5 MUCH TOO LOW 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2112 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 778 taxpoor TAXES ON LOW INCOME PEOPLE TOO HIGH C. Lastly, for those with low incomes, are taxes... VALUE LABEL 0 NAP 1 MUCH TOO HIGH 2 TOO HIGH 3 ABOUT RIGHT 4 TOO LOW 5 MUCH TOO LOW 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2113 ________________________________________________________________________ taxshare SHOULD RICH PAY BIGGER SHARE OF TAXES? Do you think that people with high incomes should pay a larger share of their income in taxes than those with low incomes, the same share, or a smaller share... VALUE LABEL 0 NAP 1 MUCH LARGER SHARE 2 LARGER 3 SAME SHARE 4 SMALLER SHARE 5 MUCH LOWER SHARE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2114 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 779 conwlth CONFLICT BETWEEN POOR AND RICH IN USA? In all countries, there are differences or conflicts between different social groups. In your opinion, in America, how much conflict is there between: A. Poor people and rich people? VALUE LABEL 0 NAP 1 VERY STRONG CONFLICT 2 STRONG CONFLICT 3 NOT STRONG CONFLICT 4 NO CONFLICT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2115 ________________________________________________________________________ conclass WORKING AND MIDDLE CLASSES IN CONFLICT? B. The working class and the middle class? VALUE LABEL 0 NAP 1 VERY STRONG CONFLICT 2 STRONG CONFLICT 3 NOT STRONG CONFLICT 4 NO CONFLICT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2116 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 780 conjobs EMPLOYED AND UNEMPLOYED IN CONFLICT C. The unemployed and people with jobs? VALUE LABEL 0 NAP 1 VERY STRONG CONFLICT 2 STRONG CONFLICT 3 NOT STRONG CONFLICT 4 NO CONFLICT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2117 ________________________________________________________________________ conunion WORKERS AND MANAGEMENT IN CONFLICT? D. Management and workers? VALUE LABEL 0 NAP 1 VERY STRONG CONFLICT 2 STRONG CONFLICT 3 NOT STRONG CONFLICT 4 NO CONFLICT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2118 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 781 conurban FARMERS AND CITY PEOPLE IN CONFLICT? E. Farmers and city people? VALUE LABEL 0 NAP 1 VERY STRONG CONFLICT 2 STRONG CONFLICT 3 NOT STRONG CONFLICT 4 NO CONFLICT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2119 ________________________________________________________________________ occmobil STATUS OF JOB HIGHER THAN FATHERS? Please think of your present job (or your last one if you don't have one now). If you compare this job with the job your father had when you were 16, would you say that the level or status of our job is (or was)... VALUE LABEL 0 NAP 1 MUCH HIGHER THAN DAD 2 HIGHER 3 ABOUT EQUAL 4 LOWER 5 MUCH LOWER THAN DAD 6 R NEVER HAD JOB 7 NO DAD-NEVER HAD JOB 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2120 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 782 pajob TYPE OF JOB HELD BY FATHER WHEN R 16 Here is a list of different types of jobs. Which type did your father have when you were 16. (If your father did not have a job then, please give the job he used to have.) VALUE LABEL 0 NAP 1 PROF OR TECH 2 HIGHER ADMIN 3 CLERICAL 4 SALES 5 SERVICE 6 SKILLED WORKER 7 SEMI-SKILLED WORKER 8 UNSKILLED WORKER 9 FARM 10 NO DAD-NEVER HAD JOB 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/2121-2122 ________________________________________________________________________ paslf WAS FATHER SELF-EMPLOYED? Was your father self-employed, or did he work for someone else? VALUE LABEL 0 NAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 3 NO DAD-NEVER HAD JOB 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2123 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 783 firstjob TYPE OF FIRST JOB HELD BY R And how about your first job -- the first job you had after you finished full-time education? VALUE LABEL 0 NAP 1 PROF OR TECH 2 HIGHER ADMIN 3 CLERICAL 4 SALES 5 SERVICE 6 SKILLED WORKER 7 SEMI-SKILLED WORKER 8 UNSKILLED WORKER 9 FARM 10 NEVER HAD JOB 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/2124-2125 ________________________________________________________________________ firstslf FIRST JOB SELF-EMPLOYMENT? Were you self-employed, or did you work for someone else? VALUE LABEL 0 NAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 3 NEVER HAD JOB 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2126 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 784 lastjob TYPE OF CURRENT JOB HELD BY R And how about your job now? (If you are not working now, please tell us about your last job.) VALUE LABEL 0 NAP 1 PROF OR TECH 2 HIGHER ADMIN 3 CLERICAL 4 SALES 5 SERVICE 6 SKILLED WORKER 7 SEMI-SKILLED WORKER 8 UNSKILLED WORKER 9 FARM 10 NEVER HAD JOB 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/2127-2128 ________________________________________________________________________ lastslf CURRENT JOB SELF-EMPLOYMENT? Are (or were) you self-employed, or do you work for someone else? VALUE LABEL 0 NAP 1 SELF-EMPLOYED 2 SOMEONE ELSE 3 NEVER HAD JOB 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2129 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 785 mawrkwrm WORKING MOM CAN HAVE A WARM REL W KIDS To begin, we have some questions about women. Do you agree or disagree: A. A working mother can establish just as warm and secure a relationship with her children as a mother who does not work. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2130 ________________________________________________________________________ kidsuffr PRESCHOOLER WILL SUFFER IF MOM WORKS B. A pre-school child is likely to suffer if his or her mother works. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2131 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 786 famsuffr FAMILY LIFE SUFFERS IF MOM WORKS F-T C. All in all, family life suffers when the woman has a full-time job. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2132 ________________________________________________________________________ hapifwrk WOMAN AND FAMILY HAPPIER IF SHE WORKS D. A woman and her family will all be happier if she goes out to work. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2133 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 787 homekid MOST WOMEN REALLY WANT A HOME AND KIDS E. A job is alright, but what most women really want is a home and children. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2134 ________________________________________________________________________ housewrk BEING HOUSEWIFE AS FULFILLING AS PAID WORK F. Being a housewife is just as fulfilling as working for pay. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2135 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 788 fejobind JOB IS BEST WAY FOR WOMAN TO BE INDEP G. Having a job is the best way for a woman to be an independent person. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2136 ________________________________________________________________________ twoincs HUSB & WIFE SHOULD CONTRIB TO FAMILY INCOME H. Both the husband and the wife should contribute to the household income. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2137 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 789 hubbywrk HUSB SHLD WORK WIFE SHLD LOOK AFTER HOME I. A husband's job is to earn money; a wife's job is to look after the home and family. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2138 ________________________________________________________________________ ilikejob R WOULD ENJOY JOB IF MONEY WASNT NEEDED J. I would enjoy having a job even if I didn't need the money. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2139 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 790 wrknokid SHLD MOM WORK AFTR MARRIAGE, BEFORE KIDS? Do you think that women should work outside the home full-time, part-time or not at all under these circumstances: A. After marrying and before there are children. VALUE LABEL 0 NAP 1 WORK FULL-TIME 2 WORK PART-TIME 3 STAY HOME 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2140 ________________________________________________________________________ wrkbaby SHLD WOMAN WITH PRESCHOOLER WORK? B. When there is a child under school age. VALUE LABEL 0 NAP 1 WORK FULL-TIME 2 WORK PART-TIME 3 STAY HOME 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2141 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 791 wrksch SHLD WOMAN WORK AFTER YOUNGEST IN SCHOOL? C. After the youngest shild starts school. VALUE LABEL 0 NAP 1 WORK FULL-TIME 2 WORK PART-TIME 3 STAY HOME 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2142 ________________________________________________________________________ wrkgrown SHLD WOMAN WORK AFTER KIDS LEAVE HOME? D. After the children leave home. VALUE LABEL 0 NAP 1 WORK FULL-TIME 2 WORK PART-TIME 3 STAY HOME 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2143 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 792 daycare1 PUBLIC DAYCARE CENTER OK FOR KID < 3 YRS? Think of a child under 3 years old whose parents both have full-time jobs. How suitable do you think each of these child care arrangements would be for the child? A. A public day care center? VALUE LABEL 0 NAP 1 VERY SUITABLE 2 SOMEWHAT SUITABLE 3 NOT VERY SUITABLE 4 NOT AT ALL SUITABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2144 ________________________________________________________________________ daycare2 PRIVATE DAYCARE CENTER OK FOR KID < 3 YRS? B. A private day care center? VALUE LABEL 0 NAP 1 VERY SUITABLE 2 SOMEWHAT SUITABLE 3 NOT VERY SUITABLE 4 NOT AT ALL SUITABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2145 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 793 daycare3 BABYSITTER OK FOR KID < 3 YRS? C. A babysitter? VALUE LABEL 0 NAP 1 VERY SUITABLE 2 SOMEWHAT SUITABLE 3 NOT VERY SUITABLE 4 NOT AT ALL SUITABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2146 ________________________________________________________________________ daycare4 FRIEND OR NEIGHBOR OK FOR KID < 3 YRS? D. A neighbor or friend? VALUE LABEL 0 NAP 1 VERY SUITABLE 2 SOMEWHAT SUITABLE 3 NOT VERY SUITABLE 4 NOT AT ALL SUITABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2147 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 794 daycare5 RELATIVE OK FOR KID < 3YRS? E. A relative? VALUE LABEL 0 NAP 1 VERY SUITABLE 2 SOMEWHAT SUITABLE 3 NOT VERY SUITABLE 4 NOT AT ALL SUITABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2148 ________________________________________________________________________ femarry WAY OF LIFE RECOMMENDATION FOR WOMAN If you were advising a young woman, which of the following ways of life would you recommend? VALUE LABEL 0 NAP 1 LIVE ALONE 2 LIVE WITH POSSLQ 3 COHABITATE, THEN MARRY 4 MARRY 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2149 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 795 memarry WAY OF LIFE RECOMMENDATION FOR MAN If you were advising young man, which of the following ways of life would you recommend? VALUE LABEL 0 NAP 1 LIVE ALONE 2 LIVE WITH POSSLQ 3 COHABITATE, THEN MARRY 4 MARRY 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2150 ________________________________________________________________________ marhappy MARRIED PEOPLE HAPPIER THAN UNMARRIED Do you agree or disagree? A. Married people are generally happier than unmarried people. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2151 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 796 marfree PERSONAL FREEDOM MORE IMPT THAN MARRIAGE B. Personal freedom is more important than the companionship of marriage. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2152 ________________________________________________________________________ marfin FINANCIAL SECURITY MAIN ADVTG OF MARRIAGE C. The main advantage of marriage is that it gives financial security. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2153 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 797 markids MAIN PURPOSE OF MARRIAGE = KIDS D. The main purpose of marriage these days is to have children. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2154 ________________________________________________________________________ marnomar BAD MARRIAGE BETTER THAN NONE AT ALL E. It is better to have a bad marriage than no marriage at all. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2155 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 798 marlegit THOSE WANTING KIDS SHOULD GET MARRIED F. People who want children ought to get married. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2156 ________________________________________________________________________ marmakid SINGLE MA CAN RAISE KIDS WELL AS COUPLE G. A single mother can bring up her child as well as a married couple. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2157 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 799 marpakid SINGLE PA CAN RAISE KIDS WELL AS COUPLE H. A single father can bring up his child as well as a married couple. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2158 ________________________________________________________________________ mardiv MARRIAGE NOT TAKEN SERIOUSLY WHEN DIV IS EZ I. Couples don't take marriage seriously enough when divorce is easily available. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2159 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 800 marhomo HOMOSEXUALS SHOULD HAVE RIGHT TO MARRY J. Homosexual couples should have the right to marry one another. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2160 ________________________________________________________________________ numkids WHAT IS IDEAL NUMBER OF KIDS FOR FAMILY All in all, what do you think is the ideal number of children for a family to have? Please just write a number in the box below. VALUE LABEL -1 NAP 8 DK 9 NA Data type: numeric Missing-data codes: 9,8,-1 Record/column: 1/2161 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 801 nokids DESIRABILITY OF NO-KID FAMILY In general, what do you feel about each of these family sizes? A. A family with no children. VALUE LABEL 0 NAP 1 VERY DESIRABLE 2 DESIRABLE 3 NEITHER 4 UNDESIRABLE 5 VERY UNDESIRABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2162 ________________________________________________________________________ onekid DESIRABILITY OF ONE-KID FAMILY B. A family with one child. VALUE LABEL 0 NAP 1 VERY DESIRABLE 2 DESIRABLE 3 NEITHER 4 UNDESIRABLE 5 VERY UNDESIRABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2163 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 802 twokids DESIRABILITY OF TWO-KID FAMILY C. A family with two children. VALUE LABEL 0 NAP 1 VERY DESIRABLE 2 DESIRABLE 3 NEITHER 4 UNDESIRABLE 5 VERY UNDESIRABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2164 ________________________________________________________________________ threkids DESIRABILITY OF THREE-KID FAMILY D. A family with three kids. VALUE LABEL 0 NAP 1 VERY DESIRABLE 2 DESIRABLE 3 NEITHER 4 UNDESIRABLE 5 VERY UNDESIRABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2165 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 803 fourkids DESIRABILITY OF 4+ KID FAMILY E. A family with four children or more. VALUE LABEL 0 NAP 1 VERY DESIRABLE 2 DESIRABLE 3 NEITHER 4 UNDESIRABLE 5 VERY UNDESIRABLE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2166 ________________________________________________________________________ kidtrble KIDS MORE TROUBLE THAN THEY'RE WORTH Do you agree or disagree: A. Children are more trouble than they are worth. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2167 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 804 kidjoy KIDS ARE LIFE'S GREATEST JOY B. Watching children grow up is life's greatest joy. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2168 ________________________________________________________________________ kidnofre KIDS INTERFERE WITH PARENTS' FREEDOM C. Having children interferes too much with the freedom of parents. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2169 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 805 kidless KIDLESS MARRIAGE IS INCOMPLETE D. A marriage without children is not fully complete. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2170 ________________________________________________________________________ kidfin BETTER NOT TO HAVE KIDS DUE TO $ BURDEN E. It is better not to have children because they are such heavy financial burdens. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2171 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 806 kidempty KIDLESS PEOPLE LEAD EMPTY LIVES F. People who have never had children lead empty lives. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2172 ________________________________________________________________________ divnow HOW EASY IS IT TO GET A DIVORCE TODAY In general, would you say that the law now makes it easy or difficult for people who want to get divorced? VALUE LABEL 0 NAP 1 VERY EASY 2 FAIRLY EASY 3 NEITHER 4 FAIRLY DIFFICULT 5 VERY DIFFICULT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2173 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 807 divnokid HOW EZ SHOULD DIVORCE BE FOR KIDLESS And in general, how easy or difficult do you think the law should make it for couples without young children to get a divorce? VALUE LABEL 0 NAP 1 VERY EASY 2 FAIRLY EASY 3 NEITHER 4 FAIRLY DIFFICULT 5 VERY DIFFICULT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2174 ________________________________________________________________________ divifkid HOW EZ SHOULD DIVORCE BE IF KID(S) And what about couples with young children? How easy or difficult should the law make it for them to get a divorce? VALUE LABEL 0 NAP 1 VERY EASY 2 FAIRLY EASY 3 NEITHER 4 FAIRLY DIFFICULT 5 VERY DIFFICULT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2175 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 808 divkids KIDS BETTER IF BAD MARRGE ENDED BY DIV When a marriage is troubled and unhappy, do you think it is generally better for the children if the couple stays together or gets divorced? VALUE LABEL 0 NAP 1 MUCH BETTER TO DIV 2 BETTER TO DIVORCE 3 WORSE TO DIVORCE 4 MUCH WORSE TO DIV 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2176 ________________________________________________________________________ divwife WIFE BETTER IF BAD MARRGE ENDED BY DIV And when a marriage is troubled and unhappy, is it generally better for the wife if the couple stays together or gets divorced? VALUE LABEL 0 NAP 1 MUCH BETTER TO DIV 2 BETTER TO DIVORCE 3 WORSE TO DIVORCE 4 MUCH WORSE TO DIV 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2177 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 809 divhubby HUSB BETTER IF BAD MARRGE ENDED BY DIV And when a marriage is troubled and unhappy, is it generally better for the husband if the couple stays together or gets divorced? VALUE LABEL 0 NAP 1 MUCH BETTER TO DIV 2 BETTER TO DIVORCE 3 WORSE TO DIVORCE 4 MUCH WORSE TO DIV 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2178 ________________________________________________________________________ mawork14 DID MOM WORK BEFORE R WAS 14 YRS OLD Did your mother ever work for pay for as long as one year after you were born and before you were 14? VALUE LABEL 0 NAP 1 YES 2 NO 3 DIDNT LIVE WITH MOM 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2179 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 810 evdiv HAS R EVER BEEN DIVORCED Were you ever divorced? VALUE LABEL 0 NAP 1 YES 2 NO 3 NEVER MARRIED 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/2180 ________________________________________________________________________ spevdiv HAS RS CURRENT SPOUSE BEEN DIVORCED Was your (current) spouse ever divorced? VALUE LABEL 0 NAP 1 YES 2 NO 3 NOT MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2181 ________________________________________________________________________ cohabit DID R LIVE WITH SPOUSE BEFORE MARRIAGE Did you live with your husband/wife before you got married? VALUE LABEL 0 NAP 1 YES 2 NO 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/2182 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 811 rwrknokd DID R WORK AFTR MARRGE BUT BEFORE KIDS PLEASE ANSWER THIS QUESTION IS YOU ARE A MARRIED WOMAN WHO HAS HAD CHILDREN. Did you work outside the home full-time, part-time, or not at all after marrying and before you had children? VALUE LABEL 0 NAP 1 YES, FULL-TIME 2 YES,PART-TIME 3 NO 8 DOESNT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2183 ________________________________________________________________________ rwrkbaby DID R WORK WHEN KID WAS PRESCHOOLER And what about when a child was under school age? VALUE LABEL 0 NAP 1 YES, FULL-TIME 2 YES,PART-TIME 3 NO 8 DOESNT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2184 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 812 rwrksch DID R WORK AFTER YOUNGEST IN SCHOOL After the youngest child started school? VALUE LABEL 0 NAP 1 YES, FULL-TIME 2 YES,PART-TIME 3 NO 8 DOESNT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2185 ________________________________________________________________________ rwrkgrwn DID R WORK AFTER KIDS LEFT HOME And how about after the children left home? VALUE LABEL 0 NAP 1 YES, FULL-TIME 2 YES,PART-TIME 3 NO 8 DOESNT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2186 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 813 earnsmor HUBBY OR WIFE EARNS MORE $ PLEASE ANSWER THIS QUESTION IF YOU ARE MARRIED AND BOTH OF YOU ARE CURRENTLY WORKING FOR PAY. Who earns more money? VALUE LABEL 0 NAP 1 HUSBAND, MUCH MORE 2 HUSBAND, BIT MORE 3 SAME FOR BOTH 4 WIFE, BIT MORE 5 WIFE, MUCH MORE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2187 ________________________________________________________________________ fewrksup DO MOST WOMEN WORK TO SUPPORT FAMILY Do you agree or disagree . . . Most women have to work these days to support their families VALUE LABEL 0 NAP 1 YES, WITH A PREVIOUS PARTNER 2 YES, WITH MY PRESENT PARTNER 3 YES, WITH PREVIOUS AND PRESENT PARTNER 4 NO, NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2188 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 814 hubbywk1 MEN SHOULD EARN MONEY WOMEN KEEP HOUSE And, do you agree or disagree . . . A. A man's job is to earn money; a woman's job is to look after the home and family. VALUE LABEL 0 NAP 1 YES, WITH A PREVIOUS PARTNER 2 YES, WITH MY PRESENT PARTNER 3 YES, WITH PREVIOUS AND PRESENT PARTNER 4 NO, NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2189 ________________________________________________________________________ mrmom GENDER ROLE REVERSAL HURTS FAMILY B. It is not good if the man stays at home and cares for the children and the woman goes out to work VALUE LABEL 0 NAP 1 YES, WITH A PREVIOUS PARTNER 2 YES, WITH MY PRESENT PARTNER 3 YES, WITH PREVIOUS AND PRESENT PARTNER 4 NO, NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2190 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 815 meovrwrk MEN HURT FAMILY WHEN FOCUS ON WORK TOO MUCH C. Family life often suffers because men concentrate too much on their work VALUE LABEL 0 NAP 1 YES, WITH A PREVIOUS PARTNER 2 YES, WITH MY PRESENT PARTNER 3 YES, WITH PREVIOUS AND PRESENT PARTNER 4 NO, NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2191 ________________________________________________________________________ singlpar SINGLE PARENTS CAN RAISE KIDS AS WELL AS TWO Do you agree or disagree... A. One parent can bring up a child as well as two parents together. VALUE LABEL 0 NAP 1 YES, WITH A PREVIOUS PARTNER 2 YES, WITH MY PRESENT PARTNER 3 YES, WITH PREVIOUS AND PRESENT PARTNER 4 NO, NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2192 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 816 cohabok LIVING TOGETHER AS AN ACCEPTABLE OPTION B. It is alright for a couple to live together without intending to get married VALUE LABEL 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2193 ________________________________________________________________________ cohabfst PEOPLE SHOULD LIVE TOGETHER BEFORE MARRIAGE C. It's a good idea for a couple who intend to get married to live together first. VALUE LABEL 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2194 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 817 divbest DIVORCE AS BEST SOLUTION TO MARITAL PROBLEMS Do you agree or disagree... Divorce is usually the best solution when a couple can't seem to work out their marriage problems VALUE LABEL 0 NAP 1 YES, WITH A PREVIOUS PARTNER 2 YES, WITH MY PRESENT PARTNER 3 YES, WITH PREVIOUS AND PRESENT PARTNER 4 NO, NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2195 ________________________________________________________________________ divifkd1 SHOULD FEUDING PARENTS STAY TOGETHER FOR KIDS Do you agree or disagree... A. When there are children in the family, parents should stay together even if they don't get along VALUE LABEL 0 NAP 1 YES, WITH A PREVIOUS PARTNER 2 YES, WITH MY PRESENT PARTNER 3 YES, WITH PREVIOUS AND PRESENT PARTNER 4 NO, NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2196 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 818 divnokd1 CHILDLESS COUPLES STAY MARRIED EVEN WITH PROBLEMS B. Even when there are no children, a married couple should stay together even if they don't get along VALUE LABEL 0 NAP 1 YES, WITH A PREVIOUS PARTNER 2 YES, WITH MY PRESENT PARTNER 3 YES, WITH PREVIOUS AND PRESENT PARTNER 4 NO, NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2197 ________________________________________________________________________ livnowed DID R LIVE WITH PARTNER BEFORE MARRIAGE Did you ever live with a partner you didn't marry? VALUE LABEL 0 NAP 1 YES, WITH A PREVIOUS PARTNER 2 YES, WITH MY PRESENT PARTNER 3 YES, WITH PREVIOUS AND PRESENT PARTNER 4 NO, NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2198 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 819 mapaid SHOULD WORKING WOMEN HAVE PAID MATERNITY LEAVE Do you agree or disagree . . . A. Working women should receive paid maternity leave when they have a baby. VALUE LABEL 0 NAP 1 YES 2 NO 3 NEVER HAVE WORKED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2199 ________________________________________________________________________ chldcare SHOULD FAMILIES GET BENEFITS IF BOTH PARENTS WORK B. Families should receive financial benefits for child care when both parents work. VALUE LABEL 0 NAP 1 YES 2 NO 3 NEVER HAVE WORKED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2200 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 820 abchoose SHOULD A WOMAN GET AN ABORTION FOR ANY REASON C. A pregnant woman should be able to obtain a legal abortion for any reason whatsoever, if she chooses not to have the baby. VALUE LABEL 0 NAP 1 YES 2 NO 3 NEVER HAVE WORKED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2201 ________________________________________________________________________ teensex1 MORALITY OF TEENS HAVING SEX What if they are in their early teens, say under 16 years old, in that case is it.... VALUE LABEL 0 NAP 1 YES 2 NO 3 NEVER HAVE WORKED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2202 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 821 sexhar R EXPERIENCED SEXUAL HARRASSMENT Sometimes at work people find themselves the object of sexual advances, propositions, or unwanted sexual discussions from co-workers or supervisors. The advances sometimes involve physical contact and sometimes just involve sexual conversations. Has this ever happened to you? VALUE LABEL 0 NAP 1 YES 2 NO 3 NEVER HAVE WORKED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2203 ________________________________________________________________________ fambudgt HOW COUPLES MONITOR BUDGET How do you and your spouse/partner organize the income that one or both of you receive? Please choose the option that comes closest. VALUE LABEL 0 NAP 1 I MANAGE, GIVE PRTNR SHARE 2 PRNTNR MANAGES, GIVES ME SHARE 3 POOL ALL MONEY, TAKE OUT WHAT WE NEED 4 POOL SOME MONEY, KEEP SOME SEPARATE 5 KEEP MONEY SEPARATE 6 NOT MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2204 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 822 laundry WHO IN HOUSEHOLD DOES LAUNDRY In your household who does the following things . . . A. Does the laundry VALUE LABEL 0 NAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2205 ________________________________________________________________________ repairs WHO IN HOUSEHOLD DOES SMALL REPAIRS B. Makes small repairs around the house. VALUE LABEL 0 NAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2206 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 823 caresick WHO IN HOUSEHOLD CARES FOR SICK IN FAMILY C. Cares for sick family members VALUE LABEL 0 NAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2207 ________________________________________________________________________ shopfood WHO IN HOUSEHOLD SHOPS FOR GROCERIES D. Shops for groceries. VALUE LABEL 0 NAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2208 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 824 dinner WHO IN HOUSEHOLD PLANS MEALS E. Decides what to have for dinner VALUE LABEL 0 NAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2209 ________________________________________________________________________ spwknokd DID SPOUSE WORK AFTER MARRIAGE BEFORE KIDS What about your spouse/partner at that time -- did he or she work outside the home full-time, part-time, or not at all... A. After marrying and before you had children? VALUE LABEL 0 NAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2210 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 825 spwkbaby DID SPOUSE WORK WITH YOUNG CHILDREN B. And what about when a child was under school age? VALUE LABEL 0 NAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2211 ________________________________________________________________________ spwrksch DID SPOUSE WORK WITH SCHOOL AGE CHILDREN C. After the youngest child started school? VALUE LABEL 0 NAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2212 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 826 spwkgrwn DID SPOUSE WORK AFTER CHILDREN LEFT HOME D. And how about after the children left home? VALUE LABEL 0 NAP 1 WORKED FULL-TIME 2 WORKED PART-TIME 3 STAYED HOME 8 DOES NOT APPLY 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2213 ________________________________________________________________________ hapunhap HAPPY OR UNHAPPY WITH LIFE TODAY If you were to consider your life in general these days, how happy or unhappy would you say you are, on the whole? VALUE LABEL 0 NAP 1 VERY HAPPY 2 FAIRLY HAPPY 3 NOT VERY HAPPY 4 NOT AT ALL HAPPY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2214 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 827 stiffpun LAWBREAKERS SHOULD GET STIFFER SENTENCES Here are some measures to deal with crime. Some people are in favor of them while other people are against them. Do you agree or disagree that: A. People who break the law should be given stiffer sentences. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2215 ________________________________________________________________________ deathpen MURDERERS SHOULD GET DEATH PENALTY B. People convicted of murder should be subject to the death penalty. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2216 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 828 premars1 IS PREMARITAL SEX WRONG? Do you think it is wrong or not wrong if a man and a woman have sexual relations before marriage? VALUE LABEL 0 NAP 1 ALWAYS WRONG 2 ALMOST ALWAYS WRONG 3 WRONG ONLY SOMETIMES 4 NOT WRONG AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2217 ________________________________________________________________________ xmarsex1 IS EXTRAMARITAL SEX WRONG? What about a married person having sexual relations with someone other than his or her husband or wife, it is: VALUE LABEL 0 NAP 1 ALWAYS WRONG 2 ALMOST ALWAYS WRONG 3 WRONG ONLY SOMETIMES 4 NOT WRONG AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2218 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 829 homosex1 IS HOMOSEXUAL SEX WRONG? And what about sexual relations between two adults of the same sex, is it: VALUE LABEL 0 NAP 1 ALWAYS WRONG 2 ALMOST ALWAYS WRONG 3 WRONG ONLY SOMETIMES 4 NOT WRONG AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2219 ________________________________________________________________________ abdefct1 LAW SHOULD ALLOW ABORTION FOR BIRTH DEFECTS Do you think the law should or should not allow a pregnant woman to obtain a legal abortion: A. If there is a strong chance of serious defect in the baby. VALUE LABEL 0 NAP 1 DEFINITELY SHOULD ALLOW IT 2 PROBABLY SHOULD ALLOW IT 3 PROBABLY SHOULD NOT ALLOW IT 4 DEFINITELY SHOULD NOT ALLOW IT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2220 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 830 abpoor1 LAW SHOULD ALLOW ABORTION IF FAMILY LOW INCOME B. If the family has a very low income and cannot afford any more children. VALUE LABEL 0 NAP 1 DEFINITELY SHOULD ALLOW IT 2 PROBABLY SHOULD ALLOW IT 3 PROBABLY SHOULD NOT ALLOW IT 4 DEFINITELY SHOULD NOT ALLOW IT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2221 ________________________________________________________________________ abdefctw WRONG FOR WOMAN TO GET ABORTION FOR BIRTH DEFECTS Do you personally think it is wrong or not wrong for a woman to have an abortion: A. If there is a strong chance of serious defect in the baby. VALUE LABEL 0 NAP 1 ALWAYS WRONG 2 ALMOST ALWAYS WRONG 3 WRONG ONLY SOMETIMES 4 NOT WRONG AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2222 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 831 abpoorw WRONG FOR WOMAN TO GET ABORTION IF LOW INCOME? B. If the family has a very low income and cannot afford any more children. VALUE LABEL 0 NAP 1 ALWAYS WRONG 2 ALMOST ALWAYS WRONG 3 WRONG ONLY SOMETIMES 4 NOT WRONG AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2223 ________________________________________________________________________ taxcheat WRONG TO CHEAT ON TAXES? Consider the situation listed below. Do you feel it is wrong or not wrong if: A. A taxpayer does not report all of his income in order to pay less income taxes. VALUE LABEL 0 NAP 1 NOT WRONG 2 A BIT WRONG 3 WRONG 4 SERIOUSLY WRONG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2224 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 832 govcheat WRONG TO GIVE GOVT FALSE INFO FOR BENEFITS? B. A person gives the government incorrect information about himself to get government benefits that he is not entitled to. VALUE LABEL 0 NAP 1 NOT WRONG 2 A BIT WRONG 3 WRONG 4 SERIOUSLY WRONG 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2225 ________________________________________________________________________ concong CONFIDENCE IN US CONGRESS How much confidence do you have in: A. U.S. Congress. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2226 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 833 conbiz CONFIDENCE IN BUSINESS AND INDUSTRY B. Business and industry. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2227 ________________________________________________________________________ congovt CONFIDENCE IN GOVERNMENT DEPARTMENTS C. Government departments. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2228 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 834 conchurh CONFIDENCE IN CHURCHES AND RELIGIOUS ORGS D. Churches and religious organizations. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2229 ________________________________________________________________________ concourt CONFIDENCE IN COURTS AND LEGAL SYSTEM E. Courts and the legal system. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2230 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 835 conschls CONFIDENCE IN SCHOOLS AND EDUC SYSTEM F. Schools and the educational system. VALUE LABEL 0 NAP 1 COMPLETE CONFIDENCE 2 A GREAT DEAL OF CONFIDENCE 3 SOME CONFIDENCE 4 VERY LITTLE CONFIDENCE 5 NO CONFIDENCE AT ALL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2231 ________________________________________________________________________ polsgod ATHIESTS SHOULDN'T HOLD PUBLIC OFFICE How much do you agree or disagree with each of the following: A. Politicians who do not believe in God are unfit for public office. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2232 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 836 clergvte CLERGY SHOULDN'T TRY TO INFLUENCE VOTERS B. Religious leaders should not try to influence how people vote in elections. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2233 ________________________________________________________________________ religpub BETTER IF MORE BELIEVERS HELD PUBLIC OFFICE C. It would be better for America if more people with strong religious beliefs held public office. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2234 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 837 clerggov CLERGY SHOULDN'T TRY TO INFLUENCE GOVT DECISIONS D. Religious leaders should not try to influence government decisions. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2235 ________________________________________________________________________ churhpow DO CHURCHES HAVE TOO MUCH POWER? Do you think that churches and religious organizations in this country have too much power or too little power? VALUE LABEL 0 NAP 1 FAR TOO MUCH PWR 2 TOO MUCH POWER 3 RIGHT AMOUNT PWR 4 TOO LITTLE POWER 5 FAR TOO LITL PWR 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2236 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 838 godchnge DESCRIBE YOUR BELIEFS ABOUT GOD Which best describes your beliefs about God? VALUE LABEL 1 NOT NOW/EVER 2 NOT NOW/BUT DID 3 NOW BUT DIDNT 4 NOW AND ALWAYS 8 CANT CHOOSE Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2237 ________________________________________________________________________ afterlif BELIEF IN LIFE AFTER DEATH Do you believe in: A. Life after death. VALUE LABEL 0 NAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY NOT 4 NO, DEFINITELY NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2238 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 839 devil BELIEF IN THE DEVIL B. The Devil. VALUE LABEL 0 NAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY NOT 4 NO, DEFINITELY NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2239 ________________________________________________________________________ heaven BELIEF IN HEAVEN C. Heaven. VALUE LABEL 0 NAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY NOT 4 NO, DEFINITELY NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2240 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 840 hell BELIEF IN HELL D. Hell. VALUE LABEL 0 NAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY NOT 4 NO, DEFINITELY NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2241 ________________________________________________________________________ miracles BELIEF IN RELIGIOUS MIRACLES E. Religious miracles. VALUE LABEL 0 NAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY NOT 4 NO, DEFINITELY NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2242 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 841 bible1 DESCRIBE YOUR FEELINGS ABOUT THE BIBLE Which of these statements comes closest to describing your feelings about the Bible? 1. The Bible is the actual word of God and it is to be taken literally. 2. The Bible is the inspired word of God but not everything should be taken literally, word for word. 3. The Bible is an ancient book of fables, legends, history, and moral precepts recorded by man. 4. This does not apply to me. VALUE LABEL 1 BIBLE ACTUAL WRD 2 BIBLE INSPRD WRD 3 BIBLE FABLES 4 DOESNT APPLY 8 CANT CHOOSE Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2243 ________________________________________________________________________ theism GOD CONCERNED WITH HUMAN BEINGS PERSONALLY Do you agree or disagree with the following: A. There is a God who concerns Himself with every human being personally. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2244 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 842 fatalism PEOPLE CAN'T CHANGE THE COURSE OF THEIR LIVES B. There is little that people can do to change the course of their lives. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2245 ________________________________________________________________________ godmeans LIFE MEANINGFUL BECAUSE GOD EXISTS C. To me, life is meaningful only because God exists. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2246 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 843 nihilism LIFE SERVES NO PURPOSE D. In my opinion, life does not serve any purpose. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2247 ________________________________________________________________________ predeter GOD DECIDES THE COURSE OF OUR LIVES E. The course of our lives is decided by God. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2248 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 844 egomeans LIFE MEANINGFUL ONLY IF YOU PROVIDE MEANING F. Life is only meaningful if you provide the meaning yourself. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2249 ________________________________________________________________________ ownfate WE EACH MAKE OUR OWN FATE G. We each make our own fate. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2250 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 845 relexper TURNING POINT IN LIFE FOR RELIGION Has there ever been a turning point in your life when you made a new and personal commitment to religion? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2251 ________________________________________________________________________ marelkid MOTHERS RELIGION WHEN R WAS CHILD What was your mother's religious preference when you were a child? Was it Protestant, Catholic, Jewish, some other religion, or no religion? VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 ORTHODOX GREEK, RUSSIAN, ETC. 5 MOSLEM 6 OTHER -SPECIFY 7 NO RELIGION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2252 ________________________________________________________________________ madenkid IF PROTESTANT, MOTHER'S DENOMINATION If Protestant, what specific denomination was that? Data type: numeric Missing-data codes: 0,99998,99999 Record/columns: 1/2253-2257 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 846 parelkid FATHER'S RELIGION WHEN R WAS CHILD What was your father's religious preference when you were a child? Was it Protestant, Catholic, Jewish, some other religion, or no religion? VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 ORTHODOX GREEK, RUSSIAN, ETC. 5 MOSLEM 6 OTHER -SPECIFY 7 NO RELIGION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2258 ________________________________________________________________________ padenkid IF PROTESTANT, FATHER'S DENOMINATION If Protestant, what specific denomination was that? Data type: numeric Missing-data codes: 0,99998,99999 Record/columns: 1/2259-2263 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 847 religkid RELIGION R WAS RAISED IN What religion, if any, were you raised in? Was it Protestant, Catholic, Jewish, some other religion, or no religion? VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 ORTHODOX GREEK, RUSSIAN, ETC. 5 MOSLEM 6 OTHER -SPECIFY 7 NO RELIGION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2264 ________________________________________________________________________ denkid IF PROTESTANT, DENOMINATION R RAISED IN If Protestant, what specific denomination was that? Data type: numeric Missing-data codes: 0,99998,99999 Record/columns: 1/2265-2269 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 848 religsp S SPOUSE What is your husband's/wife's religious preference? Is it Protestant, Catholic, Jewish, some other religion, or no religion? VALUE LABEL 0 NAP 1 PROTESTANT 2 CATHOLIC 3 JEWISH 4 ORTHODOX GREEK, RUSSIAN, ETC. 5 MOSLEM 6 OTHER -SPECIFY 7 NO RELIGION 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2270 ________________________________________________________________________ densp S SPOUSE If Protestant, what specific denomination was that? Data type: numeric Missing-data codes: 0,99998,99999 Record/columns: 1/2271-2275 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 849 attendma S MOM When you were a child, how often did your mother attend religious services? VALUE LABEL 0 NAP 1 NEVER 2 LESS THAN ONCE A YR 3 ABOUT ONCE OR TWICE A YR 4 SEVERAL TIMES A YR 5 ABOUT ONCE A MONTH 6 2-3 TIMES A MONTH 7 NEARLY EVERY WEEK 8 EVERY WEEK 9 SEVERAL TIMES A WEEK 10 NO FATHER-MOTHER PRESENT 98 CANT SAY OR CANT REMEMBER 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/2276-2277 ________________________________________________________________________ attendpa S DAD When you were a child, how often did your father attend religious services? VALUE LABEL 0 NAP 1 NEVER 2 LESS THAN ONCE A YR 3 ABOUT ONCE OR TWICE A YR 4 SEVERAL TIMES A YR 5 ABOUT ONCE A MONTH 6 2-3 TIMES A MONTH 7 NEARLY EVERY WEEK 8 EVERY WEEK 9 SEVERAL TIMES A WEEK 10 NO FATHER-MOTHER PRESENT 98 CANT SAY OR CANT REMEMBER 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/2278-2279 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 850 attend12 FREQ OF R'S RELIG SVC ATTENDANCE AT AGE 12 And what about when you were around 11 or 12, how often did you attend religious services then? VALUE LABEL 0 NAP 1 NEVER 2 LESS THAN ONCE A YR 3 ABOUT ONCE OR TWICE A YR 4 SEVERAL TIMES A YR 5 ABOUT ONCE A MONTH 6 2-3 TIMES A MONTH 7 NEARLY EVERY WEEK 8 EVERY WEEK 9 SEVERAL TIMES A WEEK 10 NO FATHER-MOTHER PRESENT 98 CANT SAY OR CANT REMEMBER 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/2280-2281 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 851 prayfreq HOW OFTEN DOES R PRAY Now thinking about the present, about how often do you pray? VALUE LABEL 0 NAP 1 NEVER 2 LESS THAN ONCE A YEAR 3 ABOUT ONCE OR TWICE A YEAR 4 SEVERAL TIMES A YEAR 5 ABOUT ONCE A MONTH 6 2-3 TIMES A MONTH 7 NEARLY EVERY WEEK 8 EVERY WEEK 9 SEVERAL TIMES A WEEK 10 ONCE A DAY 11 SEVERAL TIMES A DAY 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/2282-2283 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 852 relactiv HOW OFTEN DOES R TAKE PART IN RELIG ACTIVITIES How often do you take part in the activities and organizations of a church or place of worship other than attending services? VALUE LABEL 0 NAP 1 NEVER 2 LESS THAN ONCE A YEAR 3 ABOUT ONCE OR TWICE A YEAR 4 SEVERAL TIMES A YEAR 5 ABOUT ONCE A MONTH 6 2-3 TIMES A MONTH 7 NEARLY EVERY WEEK 8 EVERY WEEK 9 SEVERAL TIMES A WEEK 10 ONCE A DAY 11 SEVERAL TIMES A DAY 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/2284-2285 ________________________________________________________________________ feelrel HOW RELIGIOUS IS R Would you describe yourself as: VALUE LABEL 0 NAP 1 EXTREME RELGIOUS 2 VERY RELIGIOUS 3 SOMWHAT RELGIOUS 4 NOT REL OR NON 5 SOMEWHAT NON-REL 6 VERY NON-REL 7 EXTREME NON-REL 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2286 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 853 schlpray SHOULD THERE BE DAILY PRAYER IN PUBLIC SCHOOLS? In your opinion, should there be daily prayers in all public schools? VALUE LABEL 0 NAP 1 YES, DEFINITELY 2 YES, PROBABLY 3 NO, PROBABLY 4 NO, DEFINITELY 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2287 ________________________________________________________________________ godright GOD'S LAWS SHOULD DECIDE RIGHT AND WRONG Do you agree or disagree with the following statements: A. Right and wrong should be based on God's laws. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2288 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 854 socright SOCIETY'S LAWS SHOULD DECIDE RIGHT AND WRONG B. Right and wrong should be decided by society. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2289 ________________________________________________________________________ perright CONSCIENCE SHOULD DECIDE RIGHT AND WRONG C. Right and wrong should be a matter of personal conscience. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2290 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 855 antirel ANTI-RELIGIOUS MATERIAL SHOULD BE BANNED Some books or films offend people who have strong religious beliefs. Should books and films that attack religions be prohibited by law or should they be allowed? VALUE LABEL 0 NAP 1 DEFINITELY SHOULD 2 PROBABLY SHOULD 3 PROBABLY SHOULD NOT 4 DEFINITELY SHOULD NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2291 ________________________________________________________________________ befair HOW OFTEN DO YOU THINK PEOPLE TAKE ADVANTAGE 922. How often do you think that people would try to take advantage of you if they got the chance and how often would they try to be fair? VALUE LABEL 0 NAP 1 ADVNTGE ALL TIME 2 ADVNTGE MST TIME 3 FAIR MST OF TIME 4 FAIR ALL OF TIME 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2292 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 856 cantrust POEPLE CAN BE TRUSTED OR CANT BE TOO CAREFUL Generally speaking, would you say that people can be trusted or that you can't be too careful in dealing with people? VALUE LABEL 0 NAP 1 ALWAYS TRUSTED 2 USUALLY TRUSTED 3 USUAL NOT TRSTED 4 ALWYS NOT TRSTED 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2293 ________________________________________________________________________ trustsci WE TRUST TOO MUCH IN SCIENCE We trust too much in science and not enough in religious faith. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2294 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 857 religcon RELIGINS BRING MORE CONFLICT Do you agree or disagree with the following statements? A. Looking around the world, religions bring more conflict than peace. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2295 ________________________________________________________________________ religint RELIGIOUS PEOPLE ARE OFTEN TOO INTOLERANT B. People with very strong religious beliefs are often too intolerant of others. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2296 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 858 religinf US WOULD BE BETER IF LESS RELIGIOUS C. The U.S. would be a better country if religion had less influence. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2297 ________________________________________________________________________ volwkpol VOLUNTEED POLITICAL ACTIVITIES PAST 12 MONTH Have you done any voluntary activity in the past 12 months in any of the following areas? Voluntary activity is unpaid work, not just belonging to an organization or group. It should be of service or benefit to other people or the community and not only to one's family or personal friends. During the last 12 months did you do volunteer work in any of the following areas: A. Political activities (helping political parties, political movements, election campaigns, etc.) VALUE LABEL 0 NAP 1 NO 2 YES 1-2 TIMES 3 YES 3-5 TIMES 4 YES 6/MORE TIMES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2298 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 859 volwkchr VOLUNTEED CHARITABLE PAST 12 MONTH B. Charitable activities (helping the sick, elderly, poor, etc.) VALUE LABEL 0 NAP 1 NO 2 YES 1-2 TIMES 3 YES 3-5 TIMES 4 YES 6/MORE TIMES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2299 ________________________________________________________________________ volwkrel VOLUNTEED RELIGIOUS PAST 12 MONTH C. Religious and church related activities (helping churches and religious groups) VALUE LABEL 0 NAP 1 NO 2 YES 1-2 TIMES 3 YES 3-5 TIMES 4 YES 6/MORE TIMES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2300 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 860 volwkoth VOLUNTEED OTHER KINDS PAST 12 MONTH D. Any other kind of voluntary activities VALUE LABEL 0 NAP 1 NO 2 YES 1-2 TIMES 3 YES 3-5 TIMES 4 YES 6/MORE TIMES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2301 ________________________________________________________________________ reltruth HOW MUCH TRUTH IN RELIGION Which of the following statements come closest to your own views: VALUE LABEL 0 NAP 1 LITTLE TRUTH ANY 2 BASIC TRUTH MANY 3 TRUTH IN ONE 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2302 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 861 carright WHAT YOUR FRIEND HAS A RIGHT TO EXPECT FROM YOU . Suppose you were riding in a car driven by a close friend. You know he is going too fast. He hits a pedestrian. He asks you to tell the police that he was obeying the speed limit. A. Which statement comes closest to your belief about what your friend has a right to expect from you? VALUE LABEL 0 NAP 1 DEFINITE RIGHT 2 SOME RIGHT 3 NO RIGHT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2303 ________________________________________________________________________ cardo WHAHT WOULD YOU DO IN THIS SITUATION B. What would you do in this situation? VALUE LABEL 0 NAP 1 DEF TLL PLCE WAS 2 PRB TLL PLCE WAS 3 PRB TLL PLCE NOT 4 DEF TLL PLCE NOT 8 CANT CHOOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2304 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 862 takearms PUNISHMENT FOR STEALING AND SELLING WEAPONS Now I'm going to ask you about several offenses. For each case, indicate (Number 1-6) what you would consider the appropriate punishment for each case. A. An army sergeant was convicted of stealing airplane parts, ammunition, explosives and other government property and selling them to civilians VALUE LABEL 0 NAP 1 REPRIMAND 2 DISMISS MILITARY 3 ONE YEAR PRISON 4 5-9 YEARS PRISON 5 10-20 YRS PRISON 6 LIFE IN PRISON 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2305 ________________________________________________________________________ leakinfo PUNISHMENT FOR OFFICAL LEAKING INFORMATION B. A high-placed government official leaked sensitive information to a newspaper in order to influence public opinion about a controversial political issue. The official received no money. VALUE LABEL 0 NAP 1 REPRIMAND 2 DISMISS MILITARY 3 1 YEAR IN PRISON 4 5-9 YRS PRISON 5 10-20 YRS PRISON 6 LIFE IN PRISON 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2306 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 863 spyenemy PUNISHMENT FOR SELLING SECRETS TO HOSTILE FOREIGN GOV C1. A Navy petty officer with the highest security clearance made copies of secret codes and other classified intelligence materials and sold them to an agent of a hostile foreign government. VALUE LABEL 0 NAP 1 REPRIMAND 2 DISMISS/MILITARY 3 ONE YR IN PRISON 4 5-9 YRS IN PRISN 5 10-20 YRS PRISON 6 LIFE IN PRISON 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2307 ________________________________________________________________________ spyfrend PUNISHMENT FOR SELLING SECRETS TO FRIEND FOREIGN GOV C2. What if the petty officer had sold these materials to an agent of a friendly foreign government? VALUE LABEL 0 NAP 1 REPRIMAND 2 DISMISS/MILITARY 3 ONE YEAR PRISON 4 5-9 YEARS PRISON 5 10-20 YRS PRISON 6 LIFE IN PRISON 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2308 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 864 taketrck PUNISHMENT FOR STEALING AND SELLING TRUCK PARTS D. A government employee was convinced of stealing truck parts and tires from a military depot and selling them to civilians. VALUE LABEL 0 NAP 1 REPRIMAND 2 DISMISS MILITARY 3 ONE YEAR PRISON 4 5-9 YEARS PRISON 5 10-20 YRS PRISON 6 LIFE IN PRISON 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2309 ________________________________________________________________________ lietest PEOPLE WITH SECRET SHOULD BE SUBJECT TO LIE TESTS Protecting secrets is a continuing concern of the government. I am going to ask you about various security measures that the government might apply to individuals with a SECRET of TOP SECRET clearance. Do you strongly agree, agree, neither agree nor disagree, disagree, or strongly disagree that people with SECRET or TOP SECRET clearance should be subject to... A. Periodic lie detector tests VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2310 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 865 testdrug B. Random drug tests VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2311 ________________________________________________________________________ bugging PEOPLE WITH SECRET SHOULD BE SUBJECT TO WIRETAPPING C. Wiretapping or electronic surveillance VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2312 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 866 finanqs PEOPLE WITH SECRET SHOULD BE SUBJECT TO QUES. OF FINANCIAL D. Regular questions about financial assets and liabilities VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2313 ________________________________________________________________________ chkonjob PEOPLE WITH SECRET SHOULD BE SUBJECT TO MONITORING WORK E. Monitoring at work (e.g., searches of briefcases and desks) VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2314 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 867 chkother PEOPLE WITH SECRET SHOULD BE SUBJECT TO MONITORING OFF JOB F. Monitoring off the job (e.g., reviews of airline and financial databases, court records) VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NOT AGREE/DSAGRE 4 DISAGREE 5 STRONG DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2315 ________________________________________________________________________ obeythnk SHOULD CHLDRN BE OBEDIENT OR THINK FOR SELVES Which of the these would you say is more important in preparing children for life? VALUE LABEL 0 NAP 1 TO BE OBEDIENT 2 TO THINK FOR THEMSELVES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2316 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 868 privent PRIVATE ENTERPRISE WILL SOLVE U.S. PROBLEMS How much do you agree or disagree with each of these statements? Private enterprise is the best way to solve America's economic problems. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2317 ________________________________________________________________________ postmat1 HIGHEST PRIORITY FOR AMERICA Looking at the list below, please check a box next to the one thing you think should be America's highest priority, the most important thing it should do. America should: 1. Maintain order in the nation; 2. Give people more say in government decisions; 3. Fight rising prices; 4. Protect freedom of speech. VALUE LABEL 0 NAP 1 MAINTAIN ORDER 2 GIVE PEOPLE MORE SAY 3 CONTROL PRICES 4 PROTECT FREE SPEECH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2318 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 869 postmat2 2ND HIGHEST PRIORITY FOR AMERICA And which one do you think should be America's next highest priority, the second most important thing it should do? America should: VALUE LABEL 0 NAP 1 MAINTAIN ORDER 2 GIVE PEOPLE MORE SAY 3 CONTROL PRICES 4 PROTECT FREE SPEECH 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2319 ________________________________________________________________________ scifaith BELIEVE TOO MUCH IN SCIENCE, NOT ENUF FAITH How much do you agree or disagree with each of these statements? A. We believe too often in science, and not enough in feelings and faith. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2320 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 870 harmgood MODERN SCIENCE DOES MORE HARM THAN GOOD B. Overall, modern science does more harm than good. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2321 ________________________________________________________________________ sciworse HUMANS CHANGE NATURE FOR THE WORSE C. Any change humans cause in nature - no matter how scientific - is likely to make things worse. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2322 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 871 scigrn MODERN SCIENCE WILL SOLVE ENVIR PROBS D. Modern science will solve our environmental problems with little change to our way of life. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2323 ________________________________________________________________________ grnecon WORRY TOO MUCH ABOUT ENVIR, TOO LITTLE ECON And please check one box for each of these statements to show how much you agree or disagree with it. A. We worry too much about the future of the environment, and not enough about prices and jobs today. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2324 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 872 harmsgrn ALMOST EVERYTHING WE DO HARMS ENVIR B. Almost everything we do in modern life harms the environment. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2325 ________________________________________________________________________ anrights ANIMALS HAVE RIGHTS TOO C. Animals should have the same moral rights that human beings do. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2326 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 873 resnatur HUMANS SHOULD RESPECT NATURE CREATED BY GOD D. Human beings should respect nature because it was created by God. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2327 ________________________________________________________________________ grnprog WORRY TOO MUCH ABOUT PROGRESS HARMING ENVIR How much do you agree or disagree with each of the following statements. A. People worry too much about human progress harming the environment. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2328 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 874 naturpax NATURE WOULD BE AT PEACE IF HUMANS LEFT ALONE B. Nature would be at peace and harmony if only human beings would leave it alone. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2329 ________________________________________________________________________ grwthelp AMER NEEDS ECON GRWTH TO PROTECT ENVIR C. In order to protect the environment, America needs economic growth. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2330 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 875 antests OK TO TEST ON ANIMALS TO SAVE HUMANS D. It is right to use animals for medical testing if it might save human lives VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2331 ________________________________________________________________________ naturwar NATURE IS SURVIVAL OF FITTEST E. Nature is really a fierce struggle for survival of the fittest. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2332 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 876 grwtharm ECON GRWTH ALWAYS HARMS ENVIR F. Economic growth always harms the environment. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2333 ________________________________________________________________________ naturgod RELATIONSHIP OF NATURE TO GOD Please check one box to show which statement is closest to your views VALUE LABEL 0 NAP 1 NATURE CREATED BY GOD 2 NATURE SACRED IN ITSELF 3 NATURE IMPORT, BUT NOT SACRED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2334 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 877 grnprice PAY HIGHER PRICES TO HELP ENVIR? A. How willing would you be to pay much higher prices in order to protect the environment? VALUE LABEL 0 NAP 1 VERY WILLING 2 FAIRLY WILLING 3 NEITHER WILLING NOR UNWILL 4 NOT VERY WILLING 5 NOT AT ALL WILLING 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2335 ________________________________________________________________________ grntaxes PAY HIGHER TAXES TO HELP ENVIR? B. And how willing would you be to pay much higher taxes in order to protect the environment? VALUE LABEL 0 NAP 1 VERY WILLING 2 FAIRLY WILLING 3 NEITHER WILLING NOR UNWILL 4 NOT VERY WILLING 5 NOT AT ALL WILLING 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2336 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 878 grnsol ACCEPT CUT IN LIVING STNDS TO HELP ENVIR? C. And how willing would you be to accept cuts in your standard of living in order to protect the environment? VALUE LABEL 0 NAP 1 VERY WILLING 2 FAIRLY WILLING 3 NEITHER WILLING NOR UNWILL 4 NOT VERY WILLING 5 NOT AT ALL WILLING 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2337 ________________________________________________________________________ toodifme TOO DIFF TO DO ANYTHING ABOUT ENVIR How much do you agree or disagree with each of these statements? A. It is just too difficult for someone like me to do much about the environment. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2338 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 879 ihlpgrn DO WHAT I CAN TO HELP ENVIR B. I do what is right for the environment, even when it costs more money or takes up more time. VALUE LABEL 0 NAP 1 STRONGLY AGREE 2 AGREE 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE 5 STRONGLY DISAGREE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2339 ________________________________________________________________________ scitest1 HUMANS MAKE ALL RADIOACTIVITY For each statement below, just check the box that comes closest to your opinion of how true it is. In your opinion, how true is this? A. All radioactivity is made by humans. VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2340 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 880 scitest2 ANTIBIOTICS KILL BACTERIA NOT VIRUSES B. Antibiotics kill bacteria, but not viruses. VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2341 ________________________________________________________________________ scitest3 ASTROLOGY HAS SOME SCIENTIFIC TRUTH C. Astrology - the study of star signs - has some scientific truth. VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2342 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 881 scitest4 HUMANS EVOLVED FROM ANIMALS D. Human beings developed from earlier species of animals. VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2343 ________________________________________________________________________ scitest5 ALL MAN-MADE CHEMS CAUSE CANCER E. All man-made chemicals can cause cancer if you eat enough of them. VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2344 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 882 grntest1 ALL WILL DIE IF EXPOSED TO RADIOACT And for each of these statements, just check the box that comes closest to your opinion of how true it is. In your opinion, how true is this? A. If someone is exposed to any amount of radioactivity, they are certain to die as a result. VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2345 ________________________________________________________________________ grntest2 NUKE WASTE DANGEROUS FOR THOUSANDS OF YRS B. Some radioactive waste from nuclear power stations will stay dangerous for thousands of years. VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2346 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 883 grntest3 GREENHOUSE EFFCT CAUSED BY HOLE IN ATMOSPH C. The greenhouse effect is caused by a hole in the earth's atmosphere VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2347 ________________________________________________________________________ grntest4 USING COAL OR GAS CONTRIB TO GREENHOUSE EFFCT D. Every time we use coal or oil or gas, we contribute to the greenhouse effect VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2348 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 884 grntest5 ALL PESTICIDES CAUSE CANCER E. All pesticides and chemicals used on food crops cause cancer in humans VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2349 ________________________________________________________________________ grntest6 HUMANS ARE MAIN CAUSE OF PLANT & ANIMAL EXTINCT F. Human beings are the main cause of plant and animal species dying out VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2350 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 885 grntest7 CARS NOT IMP CAUSE OF AIR POLLUTION G. Cars are not really an important cause of air pollution in America. VALUE LABEL 0 NAP 1 DEFINITELY TRUE 2 PROBABLY TRUE 3 PROBABLY NOT TRUE 4 DEFINITELY NOT TRUE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2351 ________________________________________________________________________ carsgen CAR POLLUTION DANGER TO ENVIR Please check one box for each of the questions below to show what you think. A. In general, do you think that air pollution caused by cars is... VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2352 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 886 carsfam CAR POLLUTION DANGER TO MY FAMILY B. And do you think that air pollution caused by cars is... VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2353 ________________________________________________________________________ carsten CAR POLLUTION WILL INCREASE IN NEXT 10 YRS C. Within the next ten years, how likely do you think it is that there will be a large increase in ill-health in America's cities as a result of air pollution caused by cars? VALUE LABEL 0 NAP 1 CERTAIN TO HAPPEN 2 VERY LIKELY TO HAPPEN 3 FAIRLY LIKELY TO HAPPEN 4 NOT VERY LIKELY TO HAPPEN 5 NOT AT ALL LIKELY 8 CANNOT CHOSE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2354 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 887 nukegen NUKE POWER DANGER TO ENVIR A. In general, do you think that nuclear power stations are... VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2355 ________________________________________________________________________ nukefam NUKE POWER DANGER TO MY FAMILY B. And do you think that nuclear power stations are... VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2356 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 888 indusgen INDUST AIR POLLUTION DANGER TO ENVIR A. In general, do you think that air pollution caused by industry is... VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2357 ________________________________________________________________________ indusfam INDUST AIR POLLUTION DANGER TO MY FAMILY B. And do you think that air pollution caused by industry is... VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2358 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 889 chemgen PESTICIDES DANGER TO ENVIR A. In general, do you think that pesticides and chemicals used in farming are... VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2359 ________________________________________________________________________ chemfam PESTICIDES DANGER TO MY FAMILY B. And do you think that pesticides and chemicals used in farming are... VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2360 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 890 watergen WATER POLLUTION DANGER TO ENVIR In general, do you think that pollution of America's rivers, lakes and streams is: 1. Extremely dangerous for the enviroment; 2. Very dangerous; 3. Somewhat dangerous; 4. Not very dangerous; 5. Not dangerous at all for the environment. VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2361 ________________________________________________________________________ waterfam WATER POLLUTION DANGER TO MY FAMILY And do you think that pollution of America's rivers, lakes and streams is: 1. Extremely dangerous for you and your family; 2. Very dangerous; 3. Somewhat dangerous; 4. Not very dangerous; 5. Not dangerous at all for you and your family. VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2362 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 891 tempgen GREENHOUSE EFFECT DANGER TO ENVIR In general, do you think that a rise in the world's temperature caused by the 'greenhouse effect' is: 1. Extremely dangerous for the enviroment; 2. Very dangerous; 3. Somewhat dangerous; 4. Not very dangerous; 5. Not dangerous at all for the environment. VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2363 ________________________________________________________________________ tempfam GREENHOUSE EFFECT DANGER TO MY FAMILY And do you think that a rise in the world's temperature caused by the 'greenhouse effect' is: 1. Extremely dangerous for you and your family; 2. Very dangerous; 3. Somewhat dangerous; 4. Not very dangerous; 5. Not dangerous at all for you and your family. VALUE LABEL 0 NAP 1 EXTREMELY DANGEROUS 2 VERY DANGEROUS 3 SOMEWHAT DANGEROUS 4 NOT VERY DANGEROUS 5 NOT DANGEROUS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2364 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 892 pubdecid GOVT SHOULD LET PEOP DECIDE HOW TO PROTECT ENVIR If you had to choose, which one of the following would be closest to your views? Government should let ordinary people decide for themselves how to protect the environment, even if it means they don't always do the right thing, or government should pass laws to make ordinary people protect the environment, even if it interferes with people's right to make their own decision. VALUE LABEL 0 NAP 1 GOV. LET PEOPLE DECIDE 2 GOV. MAKE LAWS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2365 ________________________________________________________________________ busdecid GOVT SHOULD LET BIZ DECIDE HOW TO PROTECT ENVIR B. And which one of the following closest to your views? Government should let businesses decide for themselves how to protect the environment, even if it means they don't always do the right thing, or government should pass laws to make businesses protect the environment, even if it interferes with business' right to make their own decisions VALUE LABEL 0 NAP 1 GOV. LET BUSNESSES DECIDE 2 GOV. MAKE LAWS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2366 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 893 recycle RECYCLE CANS BOTTLES How often do you make a special effort to sort glass or cans or plastic or papers and so on for recycling? VALUE LABEL 0 NAP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 NEVER 5 NOT AVAILABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2367 ________________________________________________________________________ chemfree BUY PESTICIDE FREE FRUITS, VEGETABLES B. And how often do you make a special effort to buy fruits and vegetables grown without pesticides or chemicals? VALUE LABEL 0 NAP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 NEVER 5 NOT AVAILABLE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2368 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 894 nomeat REFUSE TO EAT MEAT FOR ENVIR REASONS C. And how often do you refuse to eat meat for moral or environmental reasons? VALUE LABEL 0 NAP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 NEVER 5 NO CAR, DONT DRIVE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2369 ________________________________________________________________________ drivless DRIVE LESS FOR ENVIR REASONS VALUE LABEL 0 NAP 1 ALWAYS 2 OFTEN 3 SOMETIMES 4 NEVER 5 NO CAR, DONT DRIVE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2370 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 895 grngroup MEMBER OF ENVIR GROUP 948. Are you a member of any group whose main aim is to preserve or protect the environment? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2371 ________________________________________________________________________ grnsign SIGN PETITION ON ENVIR ISSUE In the last five years, have you... A. ...signed a petition about an environmental issue? VALUE LABEL 0 NAP 1 YES, I HAVE 2 NO, I HAVE NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2372 ________________________________________________________________________ grnmoney GIVE MONEY TO ENVIR GROUP B. ...given money to an environmental group? VALUE LABEL 0 NAP 1 YES, I HAVE 2 NO, I HAVE NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2373 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 896 grndemo PROTESTED FOR ENVIR ISSUE C. ...taken part in a protest or demonstration about an environmental issue? VALUE LABEL 0 NAP 1 YES, I HAVE 2 NO, I HAVE NOT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2374 ________________________________________________________________________ comtype TYPE OF COMMUNITY IN WHICH R LIVES Would you describe the place where you live as... VALUE LABEL 0 NAP 1 BIG CITY 2 SUBURBS, OUTSKIRTS 3 SMALL TOWN 4 COUNTRY VILLAGE 5 FARM, CNTRY HOME 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2375 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 897 forbdcom FORBID COMMUNIST TO SPEAK Now I would like to ask you some questions about a man who admits he is a Communist. Suppose this admitted Communist wanted to make a speech in your community. Should he be forbidden from speaking or not? VALUE LABEL 0 NAP 1 YES FORBID 2 NO NOT FORBID 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2376 ________________________________________________________________________ forbdrac FORBID RACIST TO SPEAK Or consider a person who believes that Blacks are genetically inferior. If such a person wanted to make a speech in your community claiming that Blacks are inferior, should he be forbidden from speaking or not? VALUE LABEL 0 NAP 1 YES FORBID 2 NO NOT FORBID 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2377 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 898 forbdmar FORBIDS RACIAL INTERMARRIAGE Do you think the law should forbid marriage between blacks and whites? VALUE LABEL 0 NAP 1 FORBID MARRIAGE 2 NOT FORBID MAR. 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2378 ________________________________________________________________________ allowcom ALLOE COMMUNIST TO SPEAK Now, I would like to ask you some questions about a man who admits he is a Communist. Suppose this admitted Communist wanted to make a speech in your community. Should he be allowed to speak? VALUE LABEL 0 NAP 1 YES,ALLOW 2 NO, NOT ALLOW 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2379 April 20, 2001  GSS Cumulative Datafile 1972-1998 Page 899 allowrac ALLOW RACIST TO SPEAK Or, consider a person who believes that Blacks are genetically inferior. If such a person wanted to make a speech in your community claiming that Blacks are inferior, should he be allowed to speak, or not? VALUE LABEL 0 NAP 1 YES,ALLOW 2 NO, NOT ALLOW 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2380 ________________________________________________________________________ allowmar ALLOW RACIAL INTERMARRIAGE Do you think the law should allow marriages between blacks and whites? VALUE LABEL 0 NAP 1 ALLOW MARRIAGE 2 NOT ALLOW MARRIAGE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/2381 April 20, 2001