CODEBOOK General Social Surveys, 1972-2006 [Cumulative File] General Social Surveys, 1972-2006 [Cumulative File] Page i CONTENTS item page CASEID Case Identification Variable 1 AGE AGE OF RESPONDENT 1 SEX RESPONDENTS SEX 1 RACE RACE OF RESPONDENT 1 RACECEN1 WHAT IS RS RACE 1ST MENTION 2 RACECEN2 WHAT IS RS RACE 2ND MENTION 3 RACECEN3 WHAT IS RS RACE 3RD MENTION 4 HISPANIC HISPANIC SPECIFIED 5 ETHNIC COUNTRY OF FAMILY ORIGIN 6 ETH1 1ST MENTIONED COUNTRY OF ORIGIN 6 ETH2 2ND MENTIONED COUNTRY OF ORIGIN 6 ETH3 3RD MENTIONED COUNTRY OF ORIGIN 6 ETHNUM TYPE OF RESPONSE ABOUT ETHNICITY -- R 7 SPETHNIC COUNTRY OF SPOUSES FAMILY ORIGIN 7 SPETH1 1ST MENTIONED COUNTRY OF SPOUSES ORIGIN 7 SPETH2 2ND MENTIONED COUNTRY OF SPOUSES ORIGIN 7 SPETH3 3RD MENTIONED COUNTRY OF SPOUSES ORIGIN 8 SPETHNUM TYPE OF RESPONSE ABOUT ETHNICITY -- SP 8 RACESEE OBSERVED RACE 9 RACEDBTF CERTAINTY OF OBSERVED RACE 10 RACESELF RS OWN RACIAL ID 10 DIFRACE1 WHY OBSERVATION DISAGREES SELF ID 11 DIFRACE2 WHY OBSERVATION DISAGREES SELF ID 12 DIFRACE3 WHY OBSERVATION DISAGREES SELF ID 13 EDUC HIGHEST YEAR OF SCHOOL COMPLETED 13 PAEDUC HIGHEST YEAR SCHOOL COMPLETED, FATHER 14 MAEDUC HIGHEST YEAR SCHOOL COMPLETED, MOTHER 14 SPEDUC HIGHEST YEAR SCHOOL COMPLETED, SPOUSE 14 DEGREE RS HIGHEST DEGREE 15 PADEG FATHERS HIGHEST DEGREE 15 MADEG MOTHERS HIGHEST DEGREE 16 SPDEG SPOUSES HIGHEST DEGREE 16 VETYEARS YEARS IN ARMED FORCES 17 VETKIND BRANCH OF SERVICE 17 WORKDY DAYS R NORMALLY WORKS 18 WORKHR HOURS R USUALLY WORKS 18 SPDAYS DAYS SPOUSE NORMALLY WORKS 19 SPHOUR HOURS SPOUSE USUALLY WORKS 19 DWELLING TYPE OF STRUCTURE 20 DWELNGH DWELLING COMPARED TO OTHERS IN NBRHD 20 DWELCITY DWELLING COMPARED TO OTHERS IN CITY 21 DWELOWN DOES R OWN OR RENT HOME? 21 WORDA WORD A 22 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page ii item page WORDB WORD B 22 WORDC WORD C 23 WORDD WORD D 23 WORDE WORD E 24 WORDF WORD F 24 WORDG WORD G 25 WORDH WORD H 25 WORDI WORD I 26 WORDJ WORD J 26 WORDSUM NUMBER WORDS CORRECT IN VOCABULARY TEST 27 GODOC LAST WEEK WENT TO SEE A DOCTOR? 27 EATOUT LAST WEEK HAD A MEAL AT A RESTAURANT 28 SEEFILM LAST WEEK WENT TO SEE A FILM? 28 ATTRELIG LAST WEEK ATTENDED RELIGIOUS SERVICES? 29 NUMDAYS NUMBER OF DAYS ATTENDED RELIGIOUS SERVICES 29 SUNDAY ATTENDED RELIGIOUS SERVICES LAST SUNDAY 30 MONDAY ATTENDED RELIGIOUS SERVICES LAST MONDAY 30 TUESDAY ATTENDED RELIGIOUS SERVICES LAST TUESDAY 31 WEDNESDY ATTENDED RELIGIOUS SERVICES LAST WEDNESD 31 THURSDAY ATTENDED RELIGIOUS SERVICES LAST THURSDA 32 FRIDAY ATTENDED RELIGIOUS SERVICES LAST FRIDAY 32 SATURDAY ATTENDED RELIGIOUS SERVICES LAST SATURDA 33 ATTREG LAST 7 DAYS ATTEND A WORSHIP SERVICE 33 MEDIAREL WATCH A RELIGIOUS PROGRAM ON TELEVISION-RADIO? 34 OTHREL ATTEND SOME OTHER TYPE OF RELIGIOUS EVENT 34 OTHREL1 WHAT TYPE OF RELIGIOUS EVENTS OR MEETINGS 35 OTHREL2 WHAT TYPE OF RELIGIOUS EVENTS OR MEETINGS 36 OTHREL3 WHAT TYPE OF RELIGIOUS EVENTS OR MEETINGS 37 ATTWEEK ATTEND RELIGIOUS EVENTS DURING THE LAST WEEK 37 RELIGID RS RELIGIOUS IDENTITY 38 RELID1 PROTESTANT IDENTIFICATION 1ST MENTION 38 RELID2 PROTESTANT IDENTIFICATION 2ND MENTION 39 RELID3 PROTESTANT IDENTIFICATION 3RD MENTION 39 RELIDBST PROTESTANT IDENTIFICATION BEST GROUP 40 CATHID IF CATHOLIC WHAT IDENTITY 40 CHARISMA IS R ASSOCIATED WITH CHARISMATIC MOVEMENT 41 RELATE1 RELATIONSHIP OF 1ST PERSON TO HOUSEHOLD HEAD 41 GENDER1 GENDER OF 1ST PERSON 42 OLD1 AGE OF 1ST PERSON 42 MAR1 MARITAL STATUS OF 1ST PERSON 43 AWAY1 IS 1ST PERSON STAYING SOMEWHERE ELSE NOW? 43 WHERE1 WHERE IS 1ST PERSON STAYING? 44 RELATE2 RELATIONSHIP OF 2ND PERSON TO HOUSEHOLD HEAD 44 GENDER2 GENDER OF 2ND PERSON 45 OLD2 AGE OF 2ND PERSON 45 MAR2 MARITAL STATUS OF 2ND PERSON 46 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page iii item page AWAY2 IS 2ND PERSON STAYING SOMEWHERE ELSE NOW? 46 WHERE2 WHERE IS 2ND PERSON STAYING? 47 RELATE3 RELATIONSHIP OF 3RD PERSON TO HOUSEHOLD HEAD 47 GENDER3 GENDER OF 3RD PERSON 48 OLD3 AGE OF 3RD PERSON 48 MAR3 MARITAL STATUS OF 3RD PERSON 49 AWAY3 IS 3RD PERSON STAYING SOMEWHERE ELSE NOW? 49 WHERE3 WHERE IS 3RD PERSON STAYING? 50 RELATE4 RELATIONSHIP OF 4TH PERSON TO HOUSEHOLD HEAD 50 GENDER4 GENDER OF 4TH PERSON 51 OLD4 AGE OF 4TH PERSON 51 MAR4 MARITAL STATUS OF 4TH PERSON 52 AWAY4 IS 4TH PERSON STAYING SOMEWHERE ELSE NOW? 52 WHERE4 WHERE IS 4TH PERSON STAYING? 53 RELATE5 RELATIONSHIP OF 5TH PERSON TO HOUSEHOLD HEAD 53 GENDER5 GENDER OF 5TH PERSON 54 OLD5 AGE OF 5TH PERSON 54 MAR5 MARITAL STATUS OF 5TH PERSON 55 AWAY5 IS 5TH PERSON STAYING SOMEWHERE ELSE NOW? 55 WHERE5 WHERE IS 5TH PERSON STAYING? 56 RELATE6 RELATIONSHIP OF 6TH PERSON TO HOUSEHOLD HEAD 56 GENDER6 GENDER OF 6TH PERSON 57 OLD6 AGE OF 6TH PERSON 57 MAR6 MARITAL STATUS OF 6TH PERSON 58 AWAY6 IS 6TH PERSON STAYING SOMEWHERE ELSE NOW? 58 WHERE6 WHERE IS 6TH PERSON STAYING? 59 RELATE7 RELATIONSHIP OF 7TH PERSON TO HOUSEHOLD HEAD 59 GENDER7 GENDER OF 7TH PERSON 60 OLD7 AGE OF 7TH PERSON 60 MAR7 MARITAL STATUS OF 7TH PERSON 61 AWAY7 IS 7TH PERSON STAYING SOMEWHERE ELSE NOW? 61 WHERE7 WHERE IS 7TH PERSON STAYING? 62 RELATE8 RELATIONSHIP OF 8TH PERSON TO HOUSEHOLD HEAD 62 GENDER8 GENDER OF 8TH PERSON 63 OLD8 AGE OF 8TH PERSON 63 MAR8 MARITAL STATUS OF 8TH PERSON 64 AWAY8 IS 8TH PERSON STAYING SOMEWHERE ELSE NOW? 64 WHERE8 WHERE IS 8TH PERSON STAYING? 65 RELATE9 RELATIONSHIP OF 9TH PERSON TO HOUSEHOLD HEAD 65 GENDER9 GENDER OF 9TH PERSON 66 OLD9 AGE OF 9TH PERSON 66 MAR9 MARITAL STATUS OF 9TH PERSON 67 AWAY9 IS 9TH PERSON STAYING SOMEWHERE ELSE NOW? 67 WHERE9 WHERE IS 9TH PERSON STAYING? 68 RELATE10 RELATIONSHIP OF 10TH PERSON TO HOUSEHOLD HEAD 68 GENDER10 GENDER OF 10TH PERSON 69 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page iv item page OLD10 AGE OF 1OTH PERSON 69 MAR10 MARITAL STATUS OF 10TH PERSON 70 AWAY10 IS 10TH PERSON STAYING SOMEWHERE ELSE NOW? 70 WHERE10 WHERE IS 1OTH PERSON STAYING? 71 RELATE11 RELATION OF 11TH PERSON (VISITOR) TO HEAD 71 GENDER11 GENDER OF 11TH PERSON (VISITOR) 72 OLD11 AGE OF 11TH PERSON (VISITOR) 72 MAR11 MARITAL STATUS OF 11TH PERSON (VISITOR) 73 AWAY11 IS 11TH PERSON (VISITOR) STAYING ELSEWHERE NOW? 73 WHERE11 WHERE IS 11TH PERSON (VISITOR) STAYING? 74 RELATE12 RELATION OF 12TH PERSON (VISITOR) TO HEAD 74 GENDER12 GENDER OF 12TH PERSON (VISITOR) 75 OLD12 AGE OF 12TH PERSON (VISITOR) 75 MAR12 MARITAL STATUS OF 12TH PERSON (VISITOR) 76 AWAY12 IS 12TH PERSON (VISITOR) STAYING ELSEWHERE NOW? 76 WHERE12 WHERE IS 12TH PERSON (VISITOR) STAYING? 77 RELATE13 RELATION OF 13TH PERSON (VISITOR) TO HEAD 77 GENDER13 GENDER OF 13TH PERSON (VISITOR) 78 OLD13 AGE OF 13TH PERSON (VISITOR) 78 MAR13 MARITAL STATUS OF 13TH PERSON (VISITOR) 79 AWAY13 IS 13TH PERSON (VISITOR) STAYING ELSEWHERE NOW? 79 WHERE13 WHERE IS 13TH PERSON (VISITOR) STAYING? 80 RELATE14 RELATION OF 14TH PERSON (VISITOR) TO HEAD 80 GENDER14 GENDER OF 14TH PERSON (VISITOR) 81 OLD14 AGE OF 14TH PERSON (VISITOR) 81 MAR14 MARITAL STATUS OF 14TH PERSON (VISITOR) 82 AWAY14 IS 14TH PERSON (VISITOR) STAYING ELSEWHERE NOW? 82 WHERE14 WHERE IS 14TH PERSON (VISITOR) STAYING? 83 RELHHD1 RELATION OF 1ST PERSON TO HOUSEHOLD HEAD 84 RELHHD2 RELATION OF 2ND PERSON TO HOUSEHOLD HEAD 85 RELHHD3 RELATION OF 3RD PERSON TO HOUSEHOLD HEAD 86 RELHHD4 RELATION OF 4TH PERSON TO HOUSEHOLD HEAD 87 RELHHD5 RELATION OF 5TH PERSON TO HOUSEHOLD HEAD 88 RELHHD6 RELATION OF 6TH PERSON TO HOUSEHOLD HEAD 89 RELHHD7 RELATION OF 7TH PERSON TO HOUSEHOLD HEAD 90 RELHHD8 RELATION OF 8TH PERSON TO HOUSEHOLD HEAD 91 RELHHD9 RELATION OF 9TH PERSON TO HOUSEHOLD HEAD 92 RELHHD10 RELATION OF 1OTH PERSON TO HOUSEHOLD HEAD 93 RELHHD11 RELATION OF 11TH PERSON (VISITOR) TO HEAD 94 RELHHD12 RELATION OF 12TH PERSON (VISITOR) TO HEAD 95 RELHHD13 RELATION OF 13TH PERSON (VISITOR) TO HEAD 96 RELHHD14 RELATION OF 14TH PERSON (VISITOR) TO HEAD 97 HEFINFO NUMBER OF PEOPLE IN INFORMANT S HOUSEHOLD 98 HHRACE RACE OF HOUSEHOLD 98 RESPNUM NUMBER IN FAMILY OF R 99 HHTYPE HOUSEHOLD TYPE 99 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page v item page HHTYPE1 HOUSEHOLD TYPE (CONDENSED) 100 FAMGEN NUMBER OF FAMILY GENERATIONS IN HOUSEHOLD 100 RPLACE RS RELATIONSHIP TO HOUSEHOLD HEAD 101 RVISITOR IS R A VISITOR? 101 VISITORS NUMBER OF VISITORS IN HOUSEHOLD 102 RELHH1 RELATIONSHIP OF PERSON 1 TO HEAD OF HOUSEHOLD 103 RELHH2 RELATIONSHIP OF PERSON 2 TO HEAD OF HOUSEHOLD 104 RELHH3 RELATIONSHIP OF PERSON 3 TO HEAD OF HOUSEHOLD 105 RELHH4 RELATIONSHIP OF PERSON 4 TO HEAD OF HOUSEHOLD 106 RELHH5 RELATIONSHIP OF PERSON 5 TO HEAD OF HOUSEHOLD 107 RELHH6 RELATIONSHIP OF PERSON 6 TO HEAD OF HOUSEHOLD 108 RELHH7 RELATIONSHIP OF PERSON 7 TO HEAD OF HOUSEHOLD 109 RELHH8 RELATIONSHIP OF PERSON 8 TO HEAD OF HOUSEHOLD 110 RELHH9 RELATIONSHIP OF PERSON 9 TO HEAD OF HOUSEHOLD 111 RELHH10 RELATIONSHIP OF PERSON 10 TO HEAD OF HOUSEHOLD 112 RELHH11 RELATIONSHIP OF PERSON 11 TO HEAD OF HOUSEHOLD 113 RELHH12 RELATIONSHIP OF PERSON 12 TO HEAD OF HOUSEHOLD 114 RELHH13 RELATIONSHIP OF PERSON 13 TO HEAD OF HOUSEHOLD 115 RELHH14 RELATIONSHIP OF PERSON 14 TO HEAD OF HOUSEHOLD 116 RELSP1 RELATIONSHIP OF PERSON 1 TO SPOUSE OF HOUSEHOL 117 RELSP2 RELATIONSHIP OF PERSON 2 TO SPOUSE OF HOUSEHOL 118 RELSP3 RELATIONSHIP OF PERSON 3 TO SPOUSE OF HOUSEHOL 119 RELSP4 RELATIONSHIP OF PERSON 4 TO SPOUSE OF HOUSEHOL 120 RELSP5 RELATIONSHIP OF PERSON 5 TO SPOUSE OF HOUSEHOL 121 RELSP6 RELATIONSHIP OF PERSON 6 TO SPOUSE OF HOUSEHOL 122 RELSP7 RELATIONSHIP OF PERSON 7 TO SPOUSE OF HOUSEHOL 123 RELSP8 RELATIONSHIP OF PERSON 8 TO SPOUSE OF HOUSEHOL 124 RELSP9 RELATIONSHIP OF PERSON 9 TO SPOUSE OF HOUSEHOL 125 RELSP10 RELATIONSHIP OF PERSON 10 TO SPOUSE OF HOUSEHO 126 RELSP11 RELATIONSHIP OF PERSON 11 TO SPOUSE OF HOUSEHO 127 RELSP12 RELATIONSHIP OF PERSON 12 TO SPOUSE OF HOUSEHO 128 RELSP13 RELATIONSHIP OF PERSON 13 TO SPOUSE OF HOUSEHO 129 RELSP14 RELATIONSHIP OF PERSON 14 TO SPOUSE OF HOUSEHO 130 DATEINTV DATE OF INTERVIEW 130 ISCO68 RESPONDENT S OCCUPATION, 1970 CENSUS 131 PAISCO68 RS FATHER S OCCUPATION, 1970 CENSUS 131 SPISCO68 R S SPOUSE S OCCUPATION, 1970 CENSUS 131 ISCO681 RESPONDENT S OCCUPATION, 1980 CENSUS 132 PAISC681 R S FATHER S OCCUPATION, 1980 CENSUS 132 MAISC681 R S MOTHER S OCCUPATION, 1980 CENSUS 132 SPISC681 R S SPOUSE S OCCUPATION, 1980 CENSUS 133 ISCO88 RESPONDENT S OCCUPATION, 1988 CENSUS 133 PAISCO88 R S FATHER S OCCUPATION, 1988 CENSUS 133 MAISCO88 R S MOTHER S OCCUPATION, 1988 CENSUS 134 SPISCO88 R S SPOUSE S OCCUPATION, 1988 CENSUS 134 SEI RESPONDENT SOCIOECONOMIC INDEX 134 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page vi item page FIRSTSEI RESPONDENT SOCIOECONOMIC INDEX FIRST OCCUPATION 135 PASEI R S FATHER S SOCIOECONOMIC INDEX 135 MASEI R S MOTHER S SOCIOECONOMIC INDEX 135 SPSEI R S SPOUSE S SOCIOECONOMIC INDEX 136 COHORT YEAR OF BIRTH 136 MARCOHRT YEAR OF FIRST MARRIAGE 136 BIRTHMO MONTH IN WHICH R WAS BORN 137 ZODIAC RESPONDENTS ASTROLOGICAL SIGN 138 WRKSTAT LABOR FRCE STATUS 138 HRS1 NUMBER OF HOURS WORKED LAST WEEK 139 HRS2 NUMBER OF HOURS USUALLY WORK A WEEK 139 EVWORK EVER WORK AS LONG AS ONE YEAR 139 OCC RS CENSUS OCCUPATION CODE (1970) 140 PRESTIGE RS OCCUPATIONAL PRESTIGE SCORE (1970) 140 WRKSLF R SELF-EMP OR WORKS FOR SOMEBODY 140 WRKGOVT GOVT OR PRIVATE EMPLOYEE 141 COMMUTE TRAVEL TIME TO WORK 141 INDUSTRY RS INDUSTRY CODE (1970) 141 OCC80 RS CENSUS OCCUPATION CODE (1980) 142 PRESTG80 RS OCCUPATIONAL PRESTIGE SCORE (1980) 142 INDUS80 RS INDUSTRY CODE (1980) 142 MARITAL MARITAL STATUS 143 AGEWED AGE WHEN FIRST MARRIED 143 DIVORCE EVER BEEN DIVORCED OR SEPARATED 143 WIDOWED EVER BEEN WIDOWED 144 SPWRKSTA SPOUSE LABOR FORCE STATUS 144 SPHRS1 NUMBER OF HRS SPOUSE WORKED LAST WEEK 145 SPHRS2 NO. OF HRS SPOUSE USUALLY WORKS A WEEK 145 SPEVWORK SPOUSE EVER WORK AS LONG AS A YEAR 145 SPOCC SPOUSE CENSUS OCCUPATION CODE (1970) 146 SPPRES SPOUSES OCCUPATIONAL PRESTIGE SCORE (1970) 146 SPWRKSLF SPOUSE SELF-EMP. OR WORKS FOR SOMEBODY 146 SPIND SPOUSES INDUSTRY CODE (1970) 147 SPOCC80 SPOUSE CENSUS OCCUPATION CODE (1980) 147 SPPRES80 SPOUSES OCCUPATIONAL PRESTIGE SCORE (1980) 147 SPIND80 SPOUSES INDUSTRY CODE (1980) 148 PAOCC16 FATHERS CENSUS OCCUPATION CODE (1970) 148 PAPRES16 FATHERS OCCUPATIONAL PRESTIGE SCORE (1970) 148 PAWRKSLF FATHER SELF-EMP. OR WORKED FOR SOMEBODY 149 PAIND16 FATHERS INDUSTRY CODE (1970) 149 PAOCC80 FATHERS CENSUS OCCUPATION CODE (1980) 149 PAPRES80 FATHERS OCCUPATIONAL PRESTIGE SCORE (1980) 150 PAIND80 FATHERS INDUSTRY CODE (1980) 150 MAOCC80 MOTHERS CENSUS OCCUPATION CODE (1980) 150 MAPRES80 MOTHERS OCCUPATIONAL PRESTIGE SCORE (1980) 151 MAWRKSLF MOTHER SELF-EMP. OR WORKED FOR SOMEBODY 151 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page vii item page MAIND80 MOTHERS INDUSTRY CODE (1980) 151 SIBS NUMBER OF BROTHERS AND SISTERS 152 CHILDS NUMBER OF CHILDREN 152 AGEKDBRN RS AGE WHEN 1ST CHILD BORN 152 RES16 TYPE OF PLACE LIVED IN WHEN 16 YRS OLD 153 REG16 REGION OF RESIDENCE, AGE 16 153 MOBILE16 GEOGRAPHIC MOBILITY SINCE AGE 16 154 FAMILY16 LIVING WITH PARENTS WHEN 16 YRS OLD 154 FAMDIF16 REASON NOT LIVING WITH PARENTS 155 MAWORK MOTHERS EMPLOYMENT SINCE MARRIAGE 155 MAWKBABY MOTHERS EMPLOYMENT BEFORE FIRST GRADE 156 MAWKBORN MOTHERS EMPLOYMENT AFTER R WAS BORN 156 MAWK16 MOTHERS EMPLOYMENT WHEN R GROWING UP 157 MAWRKGRW MOTHERS EMPLOYMENT WHEN R WAS 16 157 INCOM16 RS FAMILY INCOME WHEN 16 YRS OLD 158 BORN WAS R BORN IN THIS COUNTRY 158 PARBORN WERE RS PARENTS BORN IN THIS COUNTRY 159 GRANBORN HOW MANY GRANDPARENTS BORN OUTSIDE U.S. 159 HOMPOP NUMBER OF PERSONS IN HOUSEHOLD 160 BABIES HOUSEHOLD MEMBERS LESS THAN 6 YRS OLD 160 PRETEEN HOUSEHOLD MEMBERS 6 THRU 12 YRS OLD 160 TEENS HOUSEHOLD MEMBERS 13 THRU 17 YRS OLD 161 ADULTS HOUSEHOLD MEMBERS 18 YRS AND OLDER 161 UNRELAT NUMBER IN HOUSEHOLD NOT RELATED 161 EARNRS HOW MANY IN FAMILY EARNED MONEY 162 INCOME TOTAL FAMILY INCOME 162 RINCOME RESPONDENTS INCOME 163 CONINC FAMILY INCOME IN CONSTANT DOLLARS 163 CONRINC RESPONDENT INCOME IN CONSTANT DOLLARS 164 INCOME72 TOTAL FAMILY INCOME 164 INCOME77 TOTAL FAMILY INCOME 165 RINCOM77 RESPONDENTS INCOME 166 INCOME82 TOTAL FAMILY INCOME 167 RINCOM82 RESPONDENTS INCOME 168 INCOME86 TOTAL FAMILY INCOME 169 RINCOM86 RESPONDENTS INCOME 170 INCOME91 TOTAL FAMILY INCOME 171 RINCOM91 RESPONDENTS INCOME 172 INCOME98 TOTAL FAMILY INCOME 173 RINCOM98 RESPONDENTS INCOME 174 INCOME06 TOTAL FAMILY INCOME 175 RINCOM06 RESPONDENTS INCOME 176 WEEKSWRK WEEKS R. WORKED LAST YEAR 177 PARTFULL WAS RS WORK PART-TIME OR FULL-TIME? 177 REGION REGION OF INTERVIEW 178 XNORCSIZ EXPANDED N.O.R.C. SIZE CODE 178 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page viii item page SRCBELT SRC BELTCODE 179 SIZE SIZE OF PLACE IN 1000S 179 DOTDATA D.O.T. CODE - RELATION TO DATA 179 DOTPEOP D.O.T. CODE - RELATION TO PEOPLE 179 DOTTHNG D.O.T. CODE - RELATION TO THINGS 179 DOTGED D.O.T. CODE - GENERAL EDUC DEVELOP. 180 DOTSVP D.O.T. CODE - SPECIFIC VOCAT. PREP 180 DOTPRES TEMME PRESTIGE SCALE 180 SPDOTDAT SP. D.O.T. CODE - RELATION TO DATA 180 SPDOTPEO SP. D.O.T. CODE - RELATION TO PEOPLE 180 SPDOTTHN SP. D.O.T. CODE - RELATION TO THINGS 180 SPDOTGED SP. D.O.T. CODE - GENERAL EDUC DEVELOP. 181 SPDOTSVP SP. D.O.T. CODE - SPECIFIC VOCAT. PREP 181 SPDOTPRE SP. TEMME PRESTIGE SCALE 181 PADOTDAT FA. D.O.T. CODE - RELATION TO DATA 181 PADOTPEO FA. D.O.T. CODE - RELATION TO PEOPLE 181 PADOTTHN FA. D.O.T. CODE - RELATION TO THINGS 181 PADOTGED FA. D.O.T. CODE - GENERAL EDUC DEVELOP. 182 PADOTSVP FA. D.O.T. CODE - SPECIFIC VOCAT. PREP 182 PADOTPRE FA. TEMME PRESTIGE SCALE 182 PARTYID POLITICAL PARTY AFFILIATION 182 VOTE68 DID R VOTE IN 1968 ELECTION 183 PRES68 VOTE FOR HUMPHREY, NIXON, OR WALLACE 183 IF68WHO WHO WOULD R HAVE VOTED FOR-1968 ELECTION 184 VOTE72 DID R VOTE IN 1972 ELECTION 184 PRES72 VOTE FOR MCGOVERN OR NIXON 185 IF72WHO WHO WOULD R HAVE VOTED FOR-1972 ELECTION 185 VOTE76 DID R VOTE IN 1976 ELECTION 186 PRES76 VOTE FOR CARTER OR FORD 186 IF76WHO WHO WOULD R HAVE VOTED FOR-1976 ELECTION 187 VOTE80 DID R VOTE IN 1980 ELECTION 187 PRES80 VOTE FOR CARTER, REAGAN OR ANDERSON 188 IF80WHO WHO WOULD R HAVE VOTED FOR-1980 ELECTION 188 VOTE84 DID R VOTE IN 1984 ELECTION 189 PRES84 VOTE FOR REAGAN OR MONDALE 189 IF84WHO WHO WOULD R HAVE VOTED FOR-1984 ELECTION 190 VOTE88 DID R VOTE IN 1988 ELECTION 190 PRES88 VOTE FOR DUKAKIS OR BUSH 191 IF88WHO WHO WOULD R HAVE VOTED FOR-1988 ELECTION 191 VOTE92 DID R VOTE IN 1992 ELECTION 192 PRES92 VOTE FOR CLINTON, BUSH, PEROT 192 IF92WHO WHO WOULD R HAVE VOTED FOR-1992 ELECTION 193 VOTE96 DID R VOTE IN 1996 ELECTION 193 PRES96 VOTE FOR CLINTON, DOLE, PEROT 194 IF96WHO WHO WOULD R HAVE VOTED FOR-1996 ELECTION 194 VOTE00 DID R VOTE IN 2000 ELECTION 195 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page ix item page PRES00 VOTE FOR GORE, BUSH, NADER 195 IF00WHO WHO WOULD R HAS VOTED FOR IN 2000 ELECTION 196 VOTE04 DID R VOTE IN 2004 ELECTION 196 PRES04 VOTE FOR KERRY, BUSH, NADER 197 IF04WHO WHO WOULD R HAS VOTED FOR IN 2004 ELECTION 197 POLVIEWS THINK OF SELF AS LIBERAL OR CONSERVATIVE 198 POLVIEWY LIBERAL OR CONSERVATIVE-VERSION Y 199 POLVIEWX LIBERAL OR CONSERVATIVE-VERSION X 199 NATSPAC SPACE EXPLORATION PROGRAM 200 NATENVIR IMPROVING PROTECTING ENVIRONMENT 200 NATHEAL IMPROVING PROTECTING NATIONS HEALTH 201 NATCITY SOLVING PROBLEMS OF BIG CITIES 201 NATCRIME HALTING RISING CRIME RATE 202 NATDRUG DEALING WITH DRUG ADDICTION 202 NATEDUC IMPROVING NATIONS EDUCATION SYSTEM 203 NATRACE IMPROVING THE CONDITIONS OF BLACKS 203 NATARMS MILITARY, ARMAMENTS, AND DEFENSE 204 NATAID FOREIGN AID 204 NATFARE WELFARE 205 NATROAD HIGHWAYS AND BRIDGES 205 NATSOC SOCIAL SECURITY 206 NATMASS MASS TRANSPORTATION 206 NATPARK PARKS AND RECREATION 207 NATCHLD ASSISTANCE FOR CHILDCARE 207 NATSCI SUPPORTING SCIENTIFIC RESEARCH 208 NATSPACY SPACE EXPLORATION -- VERSION Y 208 NATENVIY THE ENVIRONMENT -- VERSION Y 209 NATHEALY HEALTH -- VERSION Y 209 NATCITYY ASSISTANCE TO BIG CITIES -- VERSION Y 210 NATCRIMY LAW ENFORCEMENT -- VERISON Y 210 NATDRUGY DRUG REHABILITATION -- VERSION Y 211 NATEDUCY EDUCATION -- VERSION Y 211 NATRACEY ASSISTANCE TO BLACKS -- VERSION Y 212 NATARMSY NATIONAL DEFENSE -- VERSION Y 212 NATAIDY ASSISTANCE TO OTHER COUNTRIES -- VER Y 213 NATFAREY ASSISTANCE TO THE POOR -- VERSION Y 213 NATSPACZ SPACE EXPLORATION -- VERSION Z 214 NATENVIZ IMPROVING THE ENVIRONMENT -- VERSION Z 214 NATHEALZ IMPROVING HEALTH -- VERSION Z 215 NATCITYZ SOLVING PROBLEMS OF BIG CITIES -- VER Z 215 NATCRIMZ REDUCING CRIME -- VERISON Z 216 NATDRUGZ REDUCING DRUG ADDICTION -- VERSION Z 216 NATEDUCZ IMPROVING THE EDUCATION SYSTEM -- VER Z 217 NATRACEZ IMPROVING CONDITIONS OF BLACKS -- VER Z 217 NATARMSZ STRENGTHENING NATIONAL DEFENSE -- VER Z 218 NATAIDZ HELPING OTHER COUNTRIES -- VERSION Z 218 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page x item page NATFAREZ CARING FOR THE POOR -- VERSION Z 219 NATROADZ IMPROVING HIGHWAYS AND BRIDGES -- VER Z 219 NATSOCZ PROTECTING SOCIAL SECURITY -- VERSION Z 220 NATMASSZ IMPROVING MASS TRANSIT -- VERSION Z 220 NATPARKZ IMPROVING PARKS AND RECREATION -- VER Z 221 EQUAL1 EVERYONE SHOULD LOOK OUT FOR SELF 221 EQUAL2 BUSINESS PROFITS BENEFIT ALL 222 EQUAL3 GOVT SHLD INSURE JOBS AND STABLE PRICES 222 EQUAL4 RESPONSIBILITY OF GOVT TO MEET NEEDS 223 EQUAL5 SOCIAL WELFARE BENEFITS ARE DISINCENTIVE 223 EQUAL6 ONE IS ABLE TO LIVE WELL IN AMERICA 224 EQUAL7 BUSINESS PROFITS ARE DISTRIBUTED FAIRLY 224 EQUAL8 SOCIAL STANDING DUE TO ABILITY 225 USCLASS1 TRADITIONAL CLASS DIVISIONS STILL REMAIN 225 USCLASS2 ACHIEVEMENT DEPENDS ON FAMILY BACKGROUND 226 USCLASS3 ACHIEVEMENT DEPENDS ON EDUC AND ABILITY 226 USCLASS4 ONES OWN EFFORTS DONT COUNT 227 USCLASS5 PERSONAL INCOME NOT DETERMINED BY WORK 227 USCLASS6 DIFFERENCES IN CLASS ARE AN INCENTIVE 228 USCLASS7 DIFFERENCES IN CLASS REFLECT OWN EFFORT 228 USCLASS8 SOCIAL DIFFERENCES ARE ACCEPTABLE 229 EDUCOP EQUAL OPPORTUNITY TO OBTAIN EDUCATION? 229 GOVCARE GOVT CONCERN FOR SOCIAL WELFARE 230 EQWLTH SHOULD GOVT REDUCE INCOME DIFFERENCES 230 EQWLTHY GOVT REDUCE INCOME DIFFERENCES-VERSION Y 231 TAX RS FEDERAL INCOME TAX 231 SPKATH ALLOW ANTI-RELIGIONIST TO SPEAK 232 COLATH ALLOW ANTI-RELIGIONIST TO TEACH 232 LIBATH ALLOW ANTI-RELIGIOUS BOOK IN LIBRARY 233 SPKSOC ALLOW SOCIALIST TO SPEAK 233 COLSOC ALLOW SOCIALIST TO TEACH 234 LIBSOC ALLOW SOCIALISTS BOOK IN LIBRARY 234 SPKRAC ALLOW RACIST TO SPEAK 235 COLRAC ALLOW RACIST TO TEACH 235 LIBRAC ALLOW RACISTS BOOK IN LIBRARY 236 SPKCOM ALLOW COMMUNIST TO SPEAK 236 COLCOM SHOULD COMMUNIST TEACHER BE FIRED 237 LIBCOM ALLOW COMMUNISTS BOOK IN LIBRARY 237 SPKMIL ALLOW MILITARIST TO SPEAK 238 COLMIL ALLOW MILITARIST TO TEACH 238 LIBMIL ALLOW MILITARISTS BOOK IN LIBRARY 239 SPKHOMO ALLOW HOMOSEXUAL TO SPEAK 239 COLHOMO ALLOW HOMOSEXUAL TO TEACH 240 LIBHOMO ALLOW HOMOSEXUALS BOOK IN LIBRARY 240 CAPPUN2 DOES R FAVOR CAPITAL PUNISHMENT 241 CAPPUN FAVOR OR OPPOSE DEATH PENALTY FOR MURDER 241 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xi item page CAPIMP IMPORTANCE OF DEATH PENALTY ISSUE TO R 242 CAPINFO HOW MUCH INFO R HAS ON DEATH PENALTY 242 CAPFIRM HOW FIRM IS RS OPINION OF DEATH PENALTY 243 GUNLAW FAVOR OR OPPOSE GUN PERMITS 243 GUNIMP IMPORTANCE OF GUN CONTROL ISSUE TO R 244 GUNINFO HOW MUCH INFO DOES R HAVE ON GUN CONTROL 244 GUNFIRM HOW FIRM IS RS OPINION ON GUN CONTROL 245 COURTS COURTS DEALING WITH CRIMINALS 245 COURTSY COURTS DEALING WITH CRIMINALS-VERSION Y 246 CRIMIMP IMPORTANCE OF CRIME ISSUE TO R 246 CRIMINFO HOW MUCH INFO DOES R HAVE ON CRIME ISSUE 247 CRIMFIRM HOW FIRM IS RS OPINION ON CRIME ISSUE 247 LAWIMP IMPORTANCE OF LAW ENFORCEMENT ISSUE TO R 248 LAWINFO HOW MUCH INFO DOES R HAVE ON LAW ISSUE 248 LAWFIRM HOW FIRM IS RS OPINION ON LAW ISSUE 249 WIRTAP WIRETAPPING 249 GRASS SHOULD MARIJUANA BE MADE LEGAL 250 GRASSY SHOULD MARIJUANA BE LEGAL-VERSION Y 250 USWAR EXPECT U.S. IN WAR WITHIN 10 YEARS 251 USWARY EXPECT U.S. IN WORLD WAR IN 10 YEARS 251 USINTL TAKE ACTIVE PART IN WORLD AFFAIRS 252 USUN REMAIN IN U.N. OR PULL OUT 252 COMMUN FEELINGS ABOUT COMMUNISM 253 COMMUN10 FEELINGS ABOUT COMMUNISM 10 YRS AGO 253 RUSSIA LIKING FOR RUSSIA 254 JAPAN LIKING FOR JAPAN 255 ENGLAND LIKING FOR ENGLAND 256 CANADA LIKING FOR CANADA 257 BRAZIL LIKING FOR BRAZIL 258 CHINA LIKING FOR CHINA 259 ISRAEL LIKING FOR ISRAEL 260 EGYPT LIKING FOR EGYPT 261 RELIG RS RELIGIOUS PREFERENCE 262 DENOM SPECIFIC DENOMINATION 263 OTHER OTHER PROTESTANT DENOMINATIONS 264 JEW WHAT SORT OF JEW R IS 264 FUND HOW FUNDAMENTALIST IS R CURRENTLY 264 ATTEND HOW OFTEN R ATTENDS RELIGIOUS SERVICES 265 MAATTEND HOW OFTEN MA ATTENDED RELIGIOUS SERVICES 265 PAATTEND HOW OFTEN PA ATTENDED RELIGIOUS SERVICES 266 SPATTEND HOW OFTEN SP ATTENDS RELIGIOUS SERVICES 266 RELITEN STRENGTH OF AFFILIATION 267 POSTLIFE BELIEF IN LIFE AFTER DEATH 267 POSTLF1 LIFE OF PEACE AND TRANQUILITY 268 POSTLF2 LIFE OF INTENSE ACTION 268 POSTLF3 LIKE HERE ON EARTH ONLY BETTER 269 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xii item page POSTLF4 LIFE WITHOUT MANY EARTHLY JOYS 269 POSTLF5 PALE OR SHADOWY FORM OF LIFE 270 POSTLF6 A SPIRITUAL LIFE INVOLVING MIND NOT BODY 270 POSTLF7 PARADISE OF PLEASURES AND DELIGHTS 271 POSTLF8 PLACE OF LOVING INTELLECTUAL COMMUNION 271 POSTLF9 UNION WITH GOD 272 POSTLF10 REUNION WITH LOVED ONES 272 LIKEDIFF AFTERLIFE CONTRAST: BETTER OR LACKING 273 MINDBODY AFTERLIFE CONTRAST: SPIRITUAL OR SENSUAL 273 RESTACT AFTERLIFE CONTRAST: PEACEFUL OR ACTION 274 PALEFULL AFTERLIFE CONTRAST: SHADOWS OR FULL 274 PRAY HOW OFTEN DOES R PRAY 275 DEJAVU THOUGHT ONE WAS SOMEPLACE BEFORE 275 ESP FELT IN TOUCH WITH SOMEONE FAR AWAY 276 VISIONS PERCEIVED EVENTS AT GREAT DISTANCE 276 SPIRITS FELT IN TOUCH WITH DECEASED PERSON 277 GRACE HAD POWERFUL RELIGIOUS EXPERIENCE 277 NEARGOD HOW CLOSE DOES R FEEL TO GOD 278 JUDGE IMAGE OF GOD AS JUDGE 278 REDEEMER IMAGE OF GOD AS REDEEMER 279 LOVER IMAGE OF GOD AS LOVER 279 MASTER IMAGE OF GOD AS MASTER 280 MOTHER IMAGE OF GOD AS MOTHER 280 CREATOR IMAGE OF GOD AS CREATOR 281 FATHER IMAGE OF GOD AS FATHER 281 SPOUSE IMAGE OF GOD AS SPOUSE 282 FRIEND IMAGE OF GOD AS FRIEND 282 KING IMAGE OF GOD AS KING 283 LIBERATR IMAGE OF GOD AS LIBERATOR 283 HEALER IMAGE OF GOD AS HEALER 284 MAPA CONTRAST BETWEEN MOTHER AND FATHER 284 MASTERSP CONTRAST BETWEEN MASTER AND SPOUSE 285 JUDGELUV CONTRAST BETWEEN JUDGE AND LOVER 285 FRNDKING CONTRAST BETWEEN FRIEND AND KING 286 CRTRHEAL CONTRAST BETWEEN CREATOR AND HEALER 286 RDEEMLIB CONTRAST BETWEEN REDEEMER AND LIBERATOR 287 POPESPKS POPE IS INFALLIBLE ON MATTERS OF FAITH OR MORALS 287 SPREL SPOUSES RELIGIOUS PREFERENCE 288 RELIG16 RELIGION IN WHICH RAISED 289 DENOM16 DENOMINATION IN WHICH R WAS RAISED 290 OTH16 OTHER PROTESTANT DENOMINATIONS 291 JEW16 WHAT SORT OF JEW R WAS AT AGE 16 291 FUND16 HOW FUNDAMENTALIST WAS R AT AGE 16 291 SPDEN SPECIFIC DENOMINATION, SPOUSE 292 SPOTHER OTHER PROTESTANT DENOMINATIONS 293 SPJEW WHAT SORT OF JEW IS RS SPOUSE CURRENTLY 293 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xiii item page SPFUND HOW FUNDAMENTALIST IS SPOUSE CURRENTLY 293 SPREL16 RELIGION IN WHICH SPOUSE RAISED 294 SPDEN16 DENOMINATION IN WHICH SPOUSE RAISED 295 SPOTH16 OTHER PROTESTANT DENOMINATIONS 296 SPJEW16 WHAT SORT OF JEW WAS RS SPOUSE AT 16 296 SPFUND16 HOW FUNDAMENTALIST WAS SPOUSE AT 16 296 TITHING HOW MUCH DOES R GIVE TO RELIGION 297 PRAYER BIBLE PRAYER IN PUBLIC SCHOOLS 297 PRAYERY BIBLE PRAYER IN SCHOOLS-VERSION Y 298 PRAYERX BIBLE PRAYER IN SCHOOLS -- VERSION Z 298 BIBLE FEELINGS ABOUT THE BIBLE 299 BIBLEY FEELINGS ABOUT THE BIBLE -- VERSION Z 299 WORLD1 WORLD IMAGE: MUCH EVIL VS. MUCH GOOD 300 WORLD2 WORLD IMAGE: THE GOOD MUST ACT VS. NOT 300 WORLD3 WORLD IMAGE: GOD NOT HERE VS. HERE 301 WORLD4 WORLD IMAGE: MAN IS GOOD VS. CORRUPT 301 WORLD5 WORLD IMAGE: ARTS ARE GOOD VS. NOT 302 WORLD6 WORLD IMAGE: CHAOS VS. HARMONY 302 WORLD7 WORLD IMAGE: ACH. REVEALS GOD VS. NOT 303 LIBTEMP FEELING THERMOMETER -- LIBERALS 303 CONTEMP FEELING THERMOMETER -- CONSERVATIVES 304 PROTTEMP FEELING THERMOMETER -- PROTESTANTS 304 CATHTEMP FEELING THERMOMETER -- CATHOLICS 305 JEWTEMP FEELING THERMOMETER -- JEWS 305 MSLMTEMP FEELING THERMOMETER -- MUSLIMS 306 FEPRIEST R FAVORS WOMEN AS PRIESTS 306 FECLERGY R FAVORS WOMEN AS MINISTERS 307 RELGRADE GRADE GIVEN RELIGION 307 RACMAR FAVOR LAW AGAINST RACIAL INTERMARRIAGE 308 RACMAR10 FAVOR LAW AGAINST RAC INTRMAR 10 YRS AGO 308 RACDIN OBJECT TO OPP. RACE HOME FOR DINNER 309 RACPUSH BLACKS SHOULDNT PUSH 309 RACSEG WHITES HAVE RIGHT TO SEG. NEIGHBORHOOD 310 RACOPEN VOTE ON OPEN HOUSING LAW 310 RACLIVE ANY OPP. RACE IN NEIGHBORHOOD 311 RACCLOS ANY OPP. RACE LIVING CLOSE TO R 311 RACDIS HOW FAR ARE CLOSEST OPP. RACE 312 RACINTEG WILL NEIGHBORHOOD BECOME ALL BLACK 312 RACOBJCT NEIGHBORHOOD INTEGRATED BY SAME SES 313 RACHOME OPP. RACE HOME FOR DINNER RECENTLY 313 RACSCHOL SHOULD WHITES BLACKS GO TO SAME SCHOOL 314 RACFEW CHILDREN TO SCHOOL WITH OPPOSITE RACE 314 RACHAF CHILDREN TO SCHOOL HALF OPPOSITE RACE 315 RACMOST CHILDREN TO SCHOOL MOSTLY OPPOSITE RACE 315 BUSING ATTITUDE TOWARD RACIAL BUSING 316 BUSING10 FAVOR BUSING 10 YRS AGO 316 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xiv item page RACPRES WOULD VOTE FOR BLACK PRESIDENT 317 RACJOB EQUAL OPPORTUNITIES ON JOBS 317 RACCHURH ATTEND CHURCH WITH OTHER RACE 318 COLOR RS SKIN COLOR 318 RACNAME PREFERED RACIAL NAME 319 RACHISCH HOW INTEGRATED WAS RS HIGH SCHOOL 319 RACMIX HOW MANY FRIENDS ARE WHITE 320 RACNEIGH NEIGHBORHOOD R WOULD LIKE TO LIVE IN 320 RACNOBUY EVER BOYCOTT CERTAIN PRODUCTS 321 RACTRUST TRUST WHITE PEOPLE 321 RACPARTY WHICH PARTY HELPS BLACKS MORE 322 RACOCC EQUALITY IN OCCUPATION 322 RACINC EQUALITY IN INCOME 323 RACOPNOW OPPORTUNITIES IMPROVED IN LAST 5 YRS 323 RACOPWIL OPPORTUNITIES IMPROVE IN NEXT 5 YRS 324 RACIMP IMPORTANCE OF RACE RELATIONS ISSUES TO R 324 RACINFO HOW MUCH INFO DOES R HAVE ON RACE ISSUES 325 RACFIRM HOW FIRM IS RS OPINION ON RACIAL ISSUES 325 RACCARE RS CONCERN ABOUT RACIAL ISSUES 326 RACTHINK HOW OFT R FRNDS THINK ABT RACE ISSUES 326 RACWRITE R EVER WRITTEN OFFICIAL ABT RACE ISSUES 327 RACGIVE HAS R GIVEN MONEY TO RACIAL ORGS 327 RACJOIN EVER JOINED ORG WORKING ON RACIAL ISSUES 328 AFFRMACT FAVOR PREFERENCE IN HIRING BLACKS 328 WRKWAYUP BLACKS OVERCOME PREJUDICE WITHOUT FAVORS 329 BLKSIMP HAVE CONDITIONS FOR BLACKS IMPROVED 329 CLOSEBLK HOW CLOSE FEEL TO BLACKS 330 CLOSEWHT HOW CLOSE FEEL TO WHITES 330 ALIENAT1 PEOPLE RUNNING COUNTRY DONT CARE 331 ALIENAT2 RICH GET RICHER, POOR POORER 331 ALIENAT3 WHAT YOU THINK DOESNT COUNT 332 ALIENAT4 YOU RE LEFT OUT OF THINGS 332 ALIENAT5 POWERFUL PEOPLE TAKE ADVANTAGE OF YOU 333 ALIENAT6 PEOPLE IN WASH D.C. ARE OUT OF TOUCH 333 HAPPY GENERAL HAPPINESS 334 HAPMAR HAPPINESS OF MARRIAGE 334 HEALTH CONDITION OF HEALTH 335 LIFE IS LIFE EXCITING OR DULL 335 HELPFUL PEOPLE HELPFUL OR LOOKING OUT FOR SELVES 336 FAIR PEOPLE FAIR OR TRY TO TAKE ADVANTAGE 336 TRUST CAN PEOPLE BE TRUSTED 337 TRUSTY CAN PEOPLE BE TRUSTED-VERSION Y 337 SATCITY CITY OR PLACE R LIVES IN 338 SATHOBBY NON-WORKING ACTIVITIES,HOBBIES 338 SATFAM FAMILY LIFE 339 SATFRND FRIENDSHIPS 339 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xv item page SATHEALT HEALTH AND PHYSICAL CONDITION 340 CONFINAN CONFID IN BANKS FINANCIAL INSTITUTIONS 340 CONBUS CONFIDENCE IN MAJOR COMPANIES 341 CONCLERG CONFIDENCE IN ORGANIZED RELIGION 341 CONEDUC CONFIDENCE IN EDUCATION 342 CONFED CONFID. IN EXEC BRANCH OF FED GOVT 342 CONLABOR CONFIDENCE IN ORGANIZED LABOR 343 CONPRESS CONFIDENCE IN PRESS 343 CONMEDIC CONFIDENCE IN MEDICINE 344 CONTV CONFIDENCE IN TELEVISION 344 CONJUDGE CONFID. IN UNITED STATES SUPREME COURT 345 CONSCI CONFIDENCE IN SCIENTIFIC COMMUNITY 345 CONLEGIS CONFIDENCE IN CONGRESS 346 CONARMY CONFIDENCE IN MILITARY 346 CONFINAY BANKS FINANCIAL INSTITUTIONS -- VER Z 347 CONBUSY MAJOR COMPANIES -- VERSION Z 347 CONCLERY ORGANIZED RELIGION -- VERSION Z 348 CONEDUCY EDUCATION -- VERSION Z 348 CONFEDY EXEC BRANCH FED GOVT -- VERSION Z 349 CONLABOY ORGANIZED LABOR -- VERSION Z 349 CONPRESY PRESS -- VERSION Z 350 CONMEDIY MEDICINE -- VERSION Z 350 CONTVY TELEVISION -- VERSION Z 351 CONJUDGY UNITED STATES SUPREME COURT -- VERSION Z 351 CONSCIY SCIENTIFIC COMMUNITY -- VERSION Z 352 CONLEGIY CONGRESS -- VERSION Z 352 CONARMYY MILITARY -- VERISON Z 353 MANNERS GOOD MANNERS 353 SUCCESS TRIES HARD TO SUCCEED 354 HONEST HONEST 354 CLEAN NEAT AND CLEAN 355 JUDGMENT GOOD SENSE AND SOUND JUDGMENT 355 CONTROL SELF-CONTROL 356 ROLE ACTS LIKE BOY-ACTS LIKE GIRL 356 AMICABLE GETS ALONG WELL WITH OTHER CHILDREN 357 OBEYS OBEYS PARENTS WELL 357 RESPONSI RESPONSIBLE 358 CONSIDER CONSIDERATE OF OTHERS 358 INTEREST INTERESTED HOW AND WHY THINGS HAPPEN 359 STUDIOUS GOOD STUDENT 359 MANNERSY GOOD MANNERS-VERSION Y 360 SUCCESSY TRIES HARD TO SUCCEED-VERSION Y 360 HONESTY HONEST-VERSION Y 361 CLEANY NEAT AND CLEAN-VERSION Y 361 JUDGMENY GOOD SENSE, SOUND JUDGMENT-VERSION Y 362 CONTROLY SELF-CONTROL-VERSION Y 362 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xvi item page ROLEY ACTS LIKE BOY-ACTS LIKE GIRL-VERSION Y 363 AMICABLY GETS ALONG WITH OTHER CHILDREN-VERSION Y 363 OBEYSY OBEYS PARENTS WELL-VERSION Y 364 RESPONSY RESPONSIBLE-VERSION Y 364 CONSIDEY CONSIDERATE OF OTHERS-VERSION Y 365 INTERESY INTERESTED HOW THINGS HAPPEN-VERSION Y 365 STUDIOUY GOOD STUDENT-VERSION Y 366 MANNERSZ GOOD MANNERS-VERSION Z 366 SUCCESSZ TRIES HARD TO SUCCEED-VERSION Z 367 HONESTZ HONEST-VERSION Z 367 CLEANZ NEAT AND CLEAN-VERSION Z 368 JUDGMENZ GOOD SENSE, SOUND JUDGMENT-VERSION Z 368 CONTROLZ SELF-CONTROL-VERSION Z 369 ROLEZ ACTS LIKE BOY-ACTS LIKE GIRL-VERSION Z 369 AMICABLZ GETS ALONG WITH OTHER CHILDREN-VERSION Z 370 OBEYSZ OBEYS PARENTS WELL-VERSION Z 370 RESPONSZ RESPONSIBLE-VERSION Z 371 CONSIDEZ CONSIDERATE OF OTHERS-VERSION Z 371 INTERESZ INTERESTED HOW THINGS HAPPEN-VERSION Z 372 STUDIOUZ GOOD STUDENT-VERSION Z 372 OBEY TO OBEY 373 POPULAR TO BE WELL LIKED OR POPULAR 373 THNKSELF TO THINK FOR ONES SELF 374 WORKHARD TO WORK HARD 374 HELPOTH TO HELP OTHERS 375 CHLDSEX QUALITIES FOR BOYS OR GIRLS 375 CHLDSEX1 QUALITIES FOR BOYS OR GIRLS -- VARIANT 376 YOUNGEN WHAT SHOULD YOUNGER GENERATION BE TAUGHT 376 SOCREL SPEND EVENING WITH RELATIVES 377 SOCOMMUN SPEND EVENING WITH NEIGHBOR 377 SOCFREND SPEND EVENING WITH FRIENDS 378 SOCBAR SPEND EVENING AT BAR 378 SOCPARS SPEND EVENING WITH PARENTS 379 SOCSIBS SPEND EVENING WITH SIBLINGS 379 AGED SHOULD AGED LIVE WITH THEIR CHILDREN 380 DRINK EVER DRINK ALCOHOLIC BEVERAGES? 380 DRUNK EVER DRINK TOO MUCH? 381 SMOKE DOES R SMOKE 381 QUITSMK EVER TRIED TO QUIT SMOKING 381 SMOKECIG DOES R SMOKE CIGARETTES 382 CIGWEEK HAS R SMOKED CIGARETTES IN LAST WEEK 382 EVSMOKE HAS R EVER SMOKED 382 ANOMIA1 NEXT TO HEALTH, MONEY IS MOST IMPORTANT 383 ANOMIA2 WONDER IF ANYTHING IS WORTHWHILE 383 ANOMIA3 NO RIGHT WRONG WAYS TO MAKE MONEY 384 ANOMIA4 LIVE ONLY FOR TODAY 384 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xvii item page ANOMIA5 LOT OF THE AVERAGE MAN GETTING WORSE 385 ANOMIA6 NOT FAIR TO BRING CHILD INTO WORLD 385 ANOMIA7 OFFICIALS NOT INTERESTED IN AVERAGE MAN 386 ANOMIA8 DONT KNOW WHOM TO TRUST 386 ANOMIA9 MOST DONT CARE WHAT HAPPENS TO OTHERS 387 JOBLOSE IS R LIKELY TO LOSE JOB 387 JOBFIND COULD R FIND EQUALLY GOOD JOB 388 SATJOB JOB OR HOUSEWORK 388 RICHWORK IF RICH, CONTINUE OR STOP WORKING 389 JOBINC HIGH INCOME 389 JOBSEC NO DANGER OF BEING FIRED 390 JOBHOUR SHORT WORKING HOURS 390 JOBPROMO CHANCES FOR ADVANCEMENT 391 JOBMEANS WORK IMPORTANT AND FEEL ACCOMPLISHMENT 391 JOBKEEP JOB SECURITY 392 JOBPAY HIGH INCOME 392 JOBRISE OPPORTUNITY FOR ADVANCEMENT 393 JOBHONOR OCCUPATION IS RECOGNIZED AND RESPECTED 393 JOBOFF LEAVES TIME FOR LEISURE 394 JOBINTER INTERESTING WORK 394 JOBINDEP ALLOWS ONE TO WORK INDEPENDENTLY 395 JOBRESP RESPONSIBLE JOB TASKS 395 JOBPEOP CONTACT WITH OTHER PEOPLE 396 JOBHELP CAN HELP OTHERS 396 JOBSOC USEFUL TO SOCIETY 397 JOBACCMP DOING SOMETHING MEANINGFUL 397 JOBSAFE SAFE CONDITIONS 398 CLASS SUBJECTIVE CLASS IDENTIFICATION 398 CLASSY SUBJECTIVE SOCIAL CLASS-VERSION Y 399 RANK RS SELF RANKING OF SOCIAL POSITION 399 RANK10 RS SOCIAL RANK 10 YEARS AGO 400 SATFIN SATISFACTION WITH FINANCIAL SITUATION 400 FINALTER CHANGE IN FINANCIAL SITUATION 401 FINRELA OPINION OF FAMILY INCOME 401 INCNEED INCOME FAMILY NEEDS 402 MININC MINIMUM AMOUNT OF INCOME NEEDED PER WEEK 402 WKSUB DOES R OR SPOUSE HAVE SUPERVISOR 403 WKSUBS DOES SUPERVISOR HAVE SUPERVISOR 403 WKSUP DOES R OR SPOUSE SUPERVISE ANYONE 404 WKSUPS DOES SUBORDINATE SUPERVISE ANYONE 404 UNEMP EVER UNEMPLOYED IN LAST TEN YRS 404 GOVAID EVER RECEIVE WELFARE, UNEMP INSUR, ETC. 405 GETAID EVER RECEIVED WELFARE? 405 UNION DOES R OR SPOUSE BELONG TO UNION 406 GETAHEAD OPINION OF HOW PEOPLE GET AHEAD 406 PARSOL RS LIVING STANDARD COMPARED TO PARENTS 407 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xviii item page KIDSSOL RS KIDS LIVING STANDARD COMPARED TO R 407 FEHOME WOMEN TAKE CARE OF HOME NOT COUNTRY 408 FEWORK SHOULD WOMEN WORK 408 FEPRES VOTE FOR WOMAN PRESIDENT 409 FEPOL WOMEN NOT SUITED FOR POLITICS 409 FEPOLY MEN OR WOMEN BETTER SUITED FOR POLITICS 410 FEIMP IMPORTANCE OF WOMENS RIGHTS ISSUE TO R 410 FEINFO HOW MUCH INFO R HAS ON WOMENS RGTS 411 FEFIRM HOW FIRM IS RS OPINION ON WOMENS RGHTS 411 FECARE RS CONCERN ABOUT WOMENS RIGHTS 412 FETHINK HOW OFT R FRNDS THINK ABT WOMENS RGTS 412 FEWRITE R EVER WRITTEN OFFICIAL ABT WOMENS RGTS 413 FEGIVE HAS R GIVEN MONEY TO WOMENS RIGHTS ORGS 413 FEJOIN EVER JOINED ORG WORKING ON WOMENS RGTS 414 ABDEFECT STRONG CHANCE OF SERIOUS DEFECT 414 ABNOMORE MARRIED--WANTS NO MORE CHILDREN 415 ABHLTH WOMANS HEALTH SERIOUSLY ENDANGERED 415 ABPOOR LOW INCOME--CANT AFFORD MORE CHILDREN 416 ABRAPE PREGNANT AS RESULT OF RAPE 416 ABSINGLE NOT MARRIED 417 ABANY ABORTION IF WOMAN WANTS FOR ANY REASON 417 ABORCT HEARD SUPREME COURT DECISION ON ABORTION 418 ABPRO1 1ST ARGUMENT FOR ABORTION 418 ABPRO2 2ND ARGUMENT FOR ABORTION 418 ABPRO3 3RD ARGUMENT FOR ABORTION 419 ABCON1 1ST ARGUMENT AGAINST ABORTION 419 ABCON2 2ND ARGUMENT AGAINST ABORTION 419 ABCON3 3RD ARGUMENT AGAINST ABORTION 420 ABIMP IMPORTANCE OF ABORTION ISSUE TO R 420 ABINFO HOW MUCH INFO DOES R HAVE ON ABORTION 420 ABFIRM HOW FIRM IS RS OPINION ON ABORTION 421 ABCARE HOW CONCERNED IS R ABOUT ABORTION 421 CHLDIDEL IDEAL NUMBER OF CHILDREN 422 CHLDMORE EXPECT MORE CHILDREN 422 CHLDNUM HOW MANY CHILDREN EXPECTED 422 CHLDSOON CHILDREN EXPECTED IN 5 YEARS 423 PILL BIRTH CONTROL INFORMATION 423 TEENPILL BIRTH CONTROL INFORMATION TO TEENS 424 PILLOK BIRTH CONTROL TO TEENAGERS 14-16 424 SEXEDUC SEX EDUCATION IN PUBLIC SCHOOLS 425 DIVLAW DIVORCE LAWS 425 DIVLAWY DIVORCE LAWS-VERSION Y 426 SPDUE EVER ENTITLED TO ALIMONY OR CHLD SUPPORT 426 SPPAID REGULARLY RECEIVED ALIMONY - CHLD SUPPRT 427 PREMARSX SEX BEFORE MARRIAGE 427 TEENSEX SEX BEFORE MARRIAGE -- TEENS 14-16 428 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xix item page XMARSEX SEX WITH PERSON OTHER THAN SPOUSE 428 HOMOSEX HOMOSEXUAL SEX RELATIONS 429 HOMOCHNG HOMOSEXUALITY: INHERENT OR CHOICE? 429 PORNINF MATERIALS PROVIDE INFO ABOUT SEX 430 PORNMORL MATERIALS LEAD TO BREAKDOWN IN MORALS 430 PORNRAPE MATERIALS LEAD TO RAPE 431 PORNOUT MATERIALS PROVIDE OUTLET 431 PORNLAW FEELINGS ABOUT PORNOGRAPHY LAWS 432 XMOVIE SEEN X-RATED MOVIE IN LAST YEAR 432 XMOVIE1 SEEN PORN FILM (THEATER OR VCR) LAST YR 433 PORNIMP IMPORTANCE OF PORNOGRAPHY ISSUE TO R 433 PORNINFO HOW MUCH INFO DOES R HAVE ON PORN ISSUE 434 PORNFIRM HOW FIRM IS RS OPINION ON PORN ISSUE 434 SPANKING FAVOR SPANKING TO DISCIPLINE CHILD 435 LETDIE1 ALLOW INCURABLE PATIENTS TO DIE 435 LETDIE2 LET PATIENTS DIE IF DOCTORS AGREE 436 SUICIDE1 SUICIDE IF INCURABLE DISEASE 436 SUICIDE2 SUICIDE IF BANKRUPT 437 SUICIDE3 SUICIDE IF DISHONORED FAMILY 437 SUICIDE4 SUICIDE IF TIRED OF LIVING 438 STRIKE PICKETING FOR LABOR STRIKE 438 CIVRIGHT CIVIL RIGHTS DEMONSTRATION 439 ANTIWAR ANTI-WAR DEMONSTRATION 439 PROWAR PRO-WAR DEMONSTRATION 439 SCHOOL SCHOOL RELATED DEMONSTRATION 440 HIT EVER PUNCHED OR BEATEN BY ANOTHER PERSON 440 HITAGE BEATEN AS CHILD OR ADULT 440 HITNUM IF BEATEN--HOW MANY TIMES 441 GUN EVER THREATENED WITH GUN OR SHOT AT 441 GUNAGE THREATENED OR SHOT AT AS CHILD OR ADULT 441 GUNNUM IF THREATENED OR SHOT AT--HOW MANY TIMES 442 HITOK EVER APPROVE OF MAN PUNCHING ADULT MALE 442 HITMARCH STRANGER IN PROTEST MARCH 443 HITDRUNK DRUNK BUMPED INTO MAN WIFE 443 HITCHILD STRANGER HAD HIT MANS CHILD 444 HITBEATR STRANGER WAS BEATING UP A WOMAN 444 HITROBBR STRANGER HAD BROKEN INTO MANS HOUSE 445 POLHITOK EVER APPROVE OF POLICE STRIKING CITIZEN 445 POLABUSE CITIZEN SAID VULGAR OR OBSCENE THINGS 446 POLMURDR CITIZEN QUESTIONED AS MURDER SUSPECT 446 POLESCAP CITIZEN ATTEMPTING TO ESCAPE CUSTODY 447 POLATTAK CITIZEN ATTACKING POLICEMAN WITH FISTS 447 FEAR AFRAID TO WALK AT NIGHT IN NEIGHBORHOOD 448 FEARHOME DOES R FEEL SAFE AND SECURE AT HOME 448 BURGLR HOME BROKEN INTO DURING THE LAST YEAR 449 ROBBRY FORCEFULLY ROBBED DURING THE LAST YEAR 449 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xx item page OWNGUN HAVE GUN IN HOME 450 PISTOL PISTOL OR REVOLVER IN HOME 450 SHOTGUN SHOTGUN IN HOME 451 RIFLE RIFLE IN HOME 451 ROWNGUN DOES GUN BELONG TO R 452 TICKET EVER RECEIVED A TRAFFIC TICKET 452 ARREST EVER PICKED UP OR CHARGED BY POLICE 453 HUNT DOES R OR SPOUSE HUNT 453 HUNTOTHR DOES OTHER HOUSEHOLD MEMBER HUNT 454 NEWS HOW OFTEN DOES R READ NEWSPAPER 454 TVHOURS HOURS PER DAY WATCHING TV 455 RADIOHRS HOURS PER DAY LISTENING TO RADIO 455 PHONE DOES R HAVE TELEPHONE 455 COOP2 RS ATTITUDE TOWARD INTERVIEW 456 COOP RS ATTITUDE TOWARD INTERVIEW 456 COMPREND RS UNDERSTANDING OF QUESTIONS 457 FORM FORM OF SPLIT QUESTIONNAIRE ASKED 457 ABSPNO ABORTION IF HUSBAND OPPOSES 458 ABHAVE1 HAVE ABORTION IF PROBABLE DEFECT 458 ABHAVE2 HAVE ABORTION IF HEALTH ENDANGERED 459 ABHAVE3 HAVE ABORTION IF COULDNT AFFORD CHILD 459 ABLEGAL SHOULD ABORTION EVER BE LEGAL 460 FECHLD MOTHER WORKING DOESNT HURT CHILDREN 460 FEHELP WIFE SHOULD HELP HUSBANDS CAREER FIRST 461 FEPRESCH PRESCHOOL KIDS SUFFER IF MOTHER WORKS 461 FEFAM BETTER FOR MAN TO WORK, WOMAN TEND HOME 462 ERAREAD HAS R HEARD OR READ ABOUT ERA 462 ERAMEANS DOES R UNDERSTAND WHAT ERA MEANS 463 ERA DOES R FAVOR OR OPPOSE ERA? 463 ERATELL DOES R FAVOR OR OPPOSE ERA 464 ERAWHY1 1ST REASON FAVOR-OPPOSE ERA 464 ERAWHY2 2ND REASON FAVOR-OPPOSE ERA 464 ERAWHY3 3RD REASON FAVOR-OPPOSE ERA 465 ERAIMP IMPORTANCE OF ERA ISSUE 465 ERAINFO HOW MUCH INFO DOES R HAVE ABOUT ERA 465 ERAFIRM HOW FIRM IS RS OPINION ON ERA 466 FEBEAR CAN WIFE REFUSE TO HAVE CHILDREN 466 FEWORKIF MARRIED WOMEN WORK IF JOBS LIMITED 467 RACSUBS FAVOR ATTEMPTS TO INTEGRATE SUBURBS 467 RACSUBGV SUBURBAN GOVTS ENCOURAGE INTEGRATION 468 RACMAREL WHAT IF RELATIVE MARRIED OTHER RACE 468 RACMARPR EXPECT PROBS IN INTERRACIAL MARRIAGE 469 RACSUPS EXPECT PROBS IF BLACKS SUPERVISE WHITES 469 RACTEACH DONT HIRE TEACHERS AGAINST INTEGRATION 470 RACAVOID AVOID DRIVING THRU BLACK NEIGHBORHOOD 470 RACCHNG TRY TO INTEGRATE SOCIAL CLUB 471 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xxi item page RACQUIT QUIT IF COULDNT INTEGRATE CLUB 471 RACDIF1 DIFFERENCES DUE TO DISCRIMINATION 472 RACDIF2 DIFFERENCES DUE TO INBORN DISABILITY 472 RACDIF3 DIFFERENCES DUE TO LACK OF EDUCATION 473 RACDIF4 DIFFERENCES DUE TO LACK OF WILL 473 SALFERGT SALIENCE, WOMENS RIGHTS 474 SALLABOR SALIENCE, LABOR LEADERS 474 SALSATFN SALIENCE, FINANCIAL SATISFACTION 475 SALABORT SALIENCE, ABORTION LAWS 475 SALSCI SALIENCE, SCIENTIFIC COMMUNITY 476 DIVORCE5 DIVORCED IN LAST 5 YRS 476 DIVREL1 RELATIVES DIVORCED IN LAST YEAR 476 DIVREL4 RELATIVES DIVORCED BETWEEN 5 1 YRS AGO 477 UNEMP5 UNEMPLOYED IN LAST 5 YRS 477 UNREL1 RELATIVES UNEMPLOYED IN LAST YR 477 UNREL4 RELATIVES UNEMP BETWEEN 5 1 YRS AGO 478 HOSDIS5 HOSPITALIZED, DISABLED LAST 5 YRS 478 HOSREL1 RELS HOSPITALIZED IN LAST YEAR 478 HOSREL4 RELS HOSPITALIZED BETW 5 1 YRS AGO 479 DEATH5 RELATIVES DIED IN LAST 5 YRS 479 DEATH16 RELATIVES DIED SINCE AGE 16 479 PADEATH DEATH OF FATHER 480 MADEATH DEATH OF MOTHER 480 CHLDDTH DEATH OF CHILD 481 SIBDEATH DEATH OF SIBLING 481 SPDEATH DEATH OF SPOUSE 482 TRAUMA1 TRAUMA SCALE, LAST YEAR 482 TRAUMA5 TRAUMA SCALE, LAST 5 YEARS 482 TRAREL1 TRAUMA OF RELATIVES, LAST YEAR 483 TRAREL5 TRAUMA OF RELATIVES, LAST 5 YRS 483 TRATOT1 TRAUMA LAST YEAR, SELF RELATIVES 483 TRATOT5 TRAUMA LAST 5 YRS, SELF RELATIVES 484 DEFSPDR DEFENSE SPENDING--RS POSITION 484 DEFSPDFG DEFENSE SPENDING--GOVT POSITION 485 HLPMINR HELP MINORITIES--RS POSITION 485 HLPMINFG HELP MINORITIES--GOVT POSITION 486 CUTSPDR CUT GOVT SPENDING--RS POSITION 486 CUTSPDFG CUT GOVT SPENDING--GOVT POSITION 487 IMPFAM FAMILY AND CHILDREN 487 IMPWORK CAREER AND WORK 488 IMPRELAX FREE TIME AND RELAXATION 488 IMPFREND FRIENDS AND ACQUAINTANCES 489 IMPKIN RELATIVES 489 IMPCHURH RELIGION AND CHURCH 490 IMPPOL POLITICS AND PUBLIC LIFE 490 PRIVACY IS R CONCERNED ABOUT PRIVACY? 491 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xxii item page CIVIC DOES R FOLLOW PUBLIC AFFAIRS? 491 RUSHED HOW OFTEN R FEELS RUSHED 492 BORED HOW OFTEN DOES R HAVE EXTRA TIME 492 POLLGOOD DO SURVEYS SERVE GOOD PURPOSE 493 POLLTRUE TRUST RESULTS OF SURVEYS 493 FESERVE MANDATORY CONSCRIPTION FOR FEMALES? 494 MESERVE MANDATORY CONSCRIPTION FOR MALES? 494 TAXSERVE FAVOR CONSCRIPTION GIVEN TAXES? 495 MILQUAL QUALITY OF PERSONS IN MILITARY 495 MILPAY PAY AND BENEFITS FOR MILITARY PERSONNEL 496 FENUMOK NUMBER OF WOMEN IN MILITARY 496 HINUMOK NUMBER OF HISPANICS IN MILITARY 497 BLNUMOK NUMBER OF BLACKS IN MILITARY 497 HINUMOKY NUMBER HISPANICS IN MILITARY-VERSION Y 498 BLNUMOKY NUMBER OF BLACKS IN MILITARY-VERSION Y 498 MILVOLOK HOW WELL HAS VOLUNTEER MILITARY WORKED? 499 FIGHTAIR WOMEN AS JET FIGHTER PILOTS 499 MECHANIC WOMEN AS TRUCK MECHANIC 500 NURSE WOMEN AS NURSES IN COMBAT ZONE 500 TYPIST WOMEN AS TYPIST IN PENTAGON 501 BRASS WOMEN IN COMMAND OF MILITARY BASES 501 FIGHTLND WOMEN IN HAND-TO-HAND COMBAT 502 TRANSAIR WOMEN AS JET TRANSPORT PILOT 502 GUNNER WOMEN AS AIR DEFENSE GUNNER IN U.S. 503 FIGHTSEA WOMEN AS CREW MEMBER OF COMBAT SHIP 503 FEFIGHT ARE WOMEN ASSIGNED TO COMBAT 504 FEDIRTY ARE WOMEN ASSIGNED TO DIRTY JOBS 504 FEBRASS DO WOMEN COMMAND OVER MEN 505 FEHLPMIL DO WOMEN RAISE EFFECTIVENESS OF MILITARY 505 DRAFT RETURN TO THE DRAFT? 506 DRAFTFE IF RETURN TO DRAFT, DRAFT WOMEN? 506 DRAFTEM IF EMERGENCY, RETURN TO DRAFT? 507 DRAFTFEM IF EMERGENCY, DRAFT WOMEN ALSO? 507 DRAFTCOL COLLEGE STUDENTS EXEMPT FROM DRAFT? 508 DRAFTMAR MARRIED PERSONS EXEMPT FROM DRAFT? 508 DRAFTPAR PARENTS OF SMALL CHLDRN EXEMPT FRM DRAFT 509 DRAFTGAY GAYS EXEMPT FROM DRAFT? 509 DRAFTCO CONSCIENTIOUS OBJECTOR EXEMPT FROM DRAFT 510 DRAFTDEF DEFENSE OCCUPATIONS EXEMPT FROM DRAFT? 510 VETFAM FAMILY MEMBERS SERVED IN ARMED FORCES? 511 VETFAMNW ANY FAMILY MEMBERS IN ARMED FORCES NOW 511 MINMILOP MIN OPPORTUNITIES BETTER IN MILITARY? 512 FEMILOP FEM OPPORTUNITIES BETTER IN MILITARY? 512 COPUNISH PUNISH DRAFT RESISTERS? 513 COJAIL JAIL DRAFT RESISTERS? 513 MILOKME MILITARY SERVICE GOOD EXPERIENCE FOR MEN 514 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page xxiii item page MILOKFE MIL SERVICE GOOD EXPERIENCE FOR WOMEN 514 UPGRADE REFUSE VOLS WITH NO BASIC SKILLS? 515 JOBTRAIN OBLIGATION TO TRAIN FOR CIVILIAN JOBS? 515 NUKEWAR POSSIBILITY OF AN ALL-OUT ATOMIC WAR 516 LANDWAR POSSIBILITY OF A CONVENTIONAL GROUND WAR 516 MORENUKE POSSIBILITY OF INCREASING ARMS RACE 517 LESSNUKE POSSIBILITY OF REDUCING ATOMIC WEAPONS 517 NONUKE POSSIBILITY ELIMINATING ATOMIC WEAPONS 518 GUERILLA POSSIBILITY OF GUERILLA WARS 518 VETAID ANY IN HH RECEIVE MIL OR VET BENEFITS 519 DEFWRKEV EVER WORK FOR MILITARY SUPPLIER? 519 DEFWRKNW CURRENTLY WORK FOR MILITARY SUPPLIER? 520 MILWRKEV EVER WORK FOR MILITARY OR DOD? 520 MILWRKNW CURRENTLY WORK FOR MILITARY OR DOD? 520 RESDEFWK LOCAL ECONOMY DEPENDS ON DEFENSE WORK? 521 OBVOTE OBLIGATION--VOTING IN ELECTIONS 521 OBVOL OBLIGATION--COMMUNITY SERVICE 522 OBJURY OBLIGATION--JURY DUTY 523 OB911 OBLIGATION--REPORTING A CRIME 524 OBENG OBLIGATION--BEING ABLE TO SPEAK ENGLISH 525 OBKNOW OBLIGATION--KEEPING INFORMED 526 OBMEPAX OBLIGATION--PEACETIME MIL SERVICE-MEN 527 OBMEWAR OBLIGATION--WARTIME MIL SERVICE-MEN 528 OBFEPAX OBLIGATION--PEACETIME MIL SERVICE-FEMALE 529 OBFEWAR OBLIGATION--WARTIME MIL SERVICE-FEMALE 530 HELPPOOR SHOULD GOVT IMPROVE STANDARD OF LIVING? 531 HELPNOT SHOULD GOVT DO MORE OR LESS? 531 HELPSICK SHOULD GOVT HELP PAY FOR MEDICAL CARE? 532 HELPBLK SHOULD GOVT AID BLACKS? 532 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 1 CASEID Case Identification Variable Data type: character Record/columns: 1/1-8 ________________________________________________________________________ AGE AGE OF RESPONDENT 13. Respondent's age VALUE LABEL 89 89 OR OLDER 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/9-10 ________________________________________________________________________ SEX RESPONDENTS SEX 23. Code respondent's sex VALUE LABEL 1 MALE 2 FEMALE Data type: numeric Missing-data code: 0 Record/column: 1/11 ________________________________________________________________________ RACE RACE OF RESPONDENT 24. What race do you consider yourself? VALUE LABEL 0 NAP 1 WHITE 2 BLACK 3 OTHER Data type: numeric Missing-data code: 0 Record/column: 1/12 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 2 RACECEN1 WHAT IS RS RACE 1ST MENTION 1602. What is your race? Indicate one or more races that you consider yourself to be. VALUE LABEL 0 NAP 1 WHITE 2 BLACK OR AFRICAN AMERICAN 3 AMERICAN INDIAN OR ALASKA NATIVE 4 ASIAN INDIAN 5 CHINESE 6 FILIPINO 7 JAPANESE 8 KOREAN 9 VIETNAMESE 10 OTHER ASIAN 11 NATIVE HAWAIIAN 12 GUAMANIAN OR CHAMORRO 13 SAMOAN 14 OTHER PACIFIC ISLANDER 15 SOME OTHER RACE 16 HISPANIC 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/13-14 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 3 RACECEN2 WHAT IS RS RACE 2ND MENTION 1602. What is your race? Indicate one or more races that you consider yourself to be. VALUE LABEL 0 NAP 1 WHITE 2 BLACK OR AFRICAN AMERICAN 3 AMERICAN INDIAN OR ALASKA NATIVE 4 ASIAN INDIAN 5 CHINESE 6 FILIPINO 7 JAPANESE 8 KOREAN 9 VIETNAMESE 10 OTHER ASIAN 11 NATIVE HAWAIIAN 12 GUAMANIAN OR CHAMORRO 13 SAMOAN 14 OTHER PACIFIC ISLANDER 15 SOME OTHER RACE 16 HISPANIC 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/15-16 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 4 RACECEN3 WHAT IS RS RACE 3RD MENTION 1602. What is your race? Indicate one or more races that you consider yourself to be. VALUE LABEL 0 NAP 1 WHITE 2 BLACK OR AFRICAN AMERICAN 3 AMERICAN INDIAN OR ALASKA NATIVE 4 ASIAN INDIAN 5 CHINESE 6 FILIPINO 7 JAPANESE 8 KOREAN 9 VIETNAMESE 10 OTHER ASIAN 11 NATIVE HAWAIIAN 12 GUAMANIAN OR CHAMORRO 13 SAMOAN 14 OTHER PACIFIC ISLANDER 15 SOME OTHER RACE 16 HISPANIC 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/17-18 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 5 HISPANIC HISPANIC SPECIFIED 1601. IF R IS FEMALE, READ LATINA; IF MALE, READ LATINO. Are you Spanish, Hispanic, or Latino/Latina? IF YES: Which group are you from? VALUE LABEL 0 NAP 1 NOT HISPANIC 2 MEXICAN, MEXICAN AMERICAN, CHICANO/A 3 PUERTO RICAN 4 CUBAN 5 SALVADORIAN 6 GUATEMALAN 7 PANAMANIAN 8 NICARAGUAN 9 COSTA RICAN 10 CENTRAL AMERICAN 11 HONDURAN 15 DOMINICAN 16 WEST INDIAN 20 PERUVIAN 21 EQUADORIAN 22 COLUMBIAN 23 VENEZUELAN 24 Argentinian 30 SPANISH 31 BASQUE 35 FILIPINO/A 40 LATIN AMERICAN 41 SOUTH AMERICAN 45 LATIN 46 LATINO/A 47 HISPANIC 50 OTHER, NOT SPECIFIED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/19-20 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 6 ETHNIC COUNTRY OF FAMILY ORIGIN 1596. From what countries or part of the world did your ancestors come? Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/21-22 ________________________________________________________________________ ETH1 1ST MENTIONED COUNTRY OF ORIGIN A. IF MORE THAN ONE COUNTRY NAMED:Which one of these countries do you feel closer to? Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/23-24 ________________________________________________________________________ ETH2 2ND MENTIONED COUNTRY OF ORIGIN A. IF MORE THAN ONE COUNTRY NAMED:Which one of these countries do you feel closer to? Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/25-26 ________________________________________________________________________ ETH3 3RD MENTIONED COUNTRY OF ORIGIN A. IF MORE THAN ONE COUNTRY NAMED:Which one of these countries do you feel closer to? Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/27-28 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 7 ETHNUM TYPE OF RESPONSE ABOUT ETHNICITY -- R VALUE LABEL 1 NAMES 1 2 CHOOSES 1 OF 2+ 3 CANNOT CHOOSE 1 4 CANNOT NAME ANY 5 UNCODEABLE Data type: numeric Missing-data code: 5 Record/column: 1/29 ________________________________________________________________________ SPETHNIC COUNTRY OF SPOUSES FAMILY ORIGIN 1598. From what countries or part of the world did your (wife's/husband's) ancestors come? Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/30-31 ________________________________________________________________________ SPETH1 1ST MENTIONED COUNTRY OF SPOUSES ORIGIN 1598a. IF MORE THAN ONE COUNTRY NAMED: Which one of these countries does your (wife/husband) feel closer to? Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/32-33 ________________________________________________________________________ SPETH2 2ND MENTIONED COUNTRY OF SPOUSES ORIGIN 1598a. IF MORE THAN ONE COUNTRY NAMED: Which one of these countries does your (wife/husband) feel closer to? Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/34-35 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 8 SPETH3 3RD MENTIONED COUNTRY OF SPOUSES ORIGIN 1598a. IF MORE THAN ONE COUNTRY NAMED: Which one of these countries does your (wife/husband) feel closer to? Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/36-37 ________________________________________________________________________ SPETHNUM TYPE OF RESPONSE ABOUT ETHNICITY -- SP VALUE LABEL 0 NAP 1 NAMES 1 2 CHOOSES 1 OF 2+ 3 CANNOT CHOOSE 1 4 CANNOT NAME ANY 5 UNCODEABLE Data type: numeric Missing-data codes: 0,5 Record/column: 1/38 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 9 RACESEE OBSERVED RACE 1600a. CODE RACE WITHOUT ASKING FOR ALL RESPONDENTS EVEN IF UNCERTAIN VALUE LABEL 0 NAP 1 WHITE 2 BLACK 3 OTHER 4 HISPANIC 5 BLACK AND WHITE 6 SPANISH 7 FILIPINO 8 AMERICAN INDIAN 9 ASIAN 10 YELLOW 11 MEXICAN 12 BROWN 13 LATINO 14 MIDDLE EASTERN 15 PUERTO RICAN 16 INDIAN 17 ALASKA NATIVE 18 PACIFIC ISLANDER 19 CUBAN 20 JAPANESE 21 ORIENTAL 22 TRINIDAD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/39-40 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 10 RACEDBTF CERTAINTY OF OBSERVED RACE 1600b. FOR THE RACIAL CLASSIFICATION YOU JUST ASSIGNED IN "A" INDICATE HOW SURE YOU WERE OF RESPONDENT'S RACE. VALUE LABEL 0 NAP 1 NO DOUBT 2 SOME DOUBT, PRETTY SURE 3 A LOT OF DOUBT, PRETTY UNSURE 4 COMPLETELY UNSURE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/41 ________________________________________________________________________ RACESELF RS OWN RACIAL ID 1600c. What race do you consider yourself? VALUE LABEL 0 NAP 1 WHITE 2 BLACK 3 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/42 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 11 DIFRACE1 WHY OBSERVATION DISAGREES SELF ID 1603a. WHY DO YOU THINK YOUR RACIAL CLASSIFICATION OF THE RESPONDENT IN "A" DIFFERED FROM THE RESPONDENT'S SELF-CLASSIFICATION IN "C"? VALUE LABEL 0 NAP 1 R NOT SERIOUS 2 HISPANIC CHOSEN OVER WHITE 3 HISPANIC CHOSEN OVER BLACK 4 PHYSICALLY DOESN'T MATCH RACE 5 RACIALLY MIXED 6 R REJECTS RACIAL CATEGORIES 7 R REJECTS 'BLACK' LABEL 8 IS MARRIED TO MEMBER OF ANOTHER RACE 9 WHITE OR BLACK CHOSEN OVER HISPANIC 10 FEELINGS, NOT BIOLOGY MATTERS 11 IDENTIFIES WITH OTHER THAN 'REAL' RACE 12 OTHER HISPANIC COMPLICATIONS 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/43-44 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 12 DIFRACE2 WHY OBSERVATION DISAGREES SELF ID 1603a. WHY DO YOU THINK YOUR RACIAL CLASSIFICATION OF THE RESPONDENT IN "A" DIFFERED FROM THE RESPONDENT'S SELF-CLASSIFICATION IN "C"? VALUE LABEL 0 NAP 1 R NOT SERIOUS 2 HISPANIC CHOSEN OVER WHITE 3 HISPANIC CHOSEN OVER BLACK 4 PHYSICALLY DOESN'T MATCH RACE 5 RACIALLY MIXED 6 R REJECTS RACIAL CATEGORIES 7 R REJECTS 'BLACK' LABEL 8 IS MARRIED TO MEMBER OF ANOTHER RACE 9 WHITE OR BLACK CHOSEN OVER HISPANIC 10 FEELINGS, NOT BIOLOGY MATTERS 11 IDENTIFIES WITH OTHER THAN 'REAL' RACE 12 OTHER HISPANIC COMPLICATIONS 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/45-46 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 13 DIFRACE3 WHY OBSERVATION DISAGREES SELF ID 1603a. WHY DO YOU THINK YOUR RACIAL CLASSIFICATION OF THE RESPONDENT IN "A" DIFFERED FROM THE RESPONDENT'S SELF-CLASSIFICATION IN "C"? VALUE LABEL 0 NAP 1 R NOT SERIOUS 2 HISPANIC CHOSEN OVER WHITE 3 HISPANIC CHOSEN OVER BLACK 4 PHYSICALLY DOESN'T MATCH RACE 5 RACIALLY MIXED 6 R REJECTS RACIAL CATEGORIES 7 R REJECTS 'BLACK' LABEL 8 IS MARRIED TO MEMBER OF ANOTHER RACE 9 WHITE OR BLACK CHOSEN OVER HISPANIC 10 FEELINGS, NOT BIOLOGY MATTERS 11 IDENTIFIES WITH OTHER THAN 'REAL' RACE 12 OTHER HISPANIC COMPLICATIONS 98 DK 99 NA Data type: numeric Missing-data codes: 98,99,0 Record/columns: 1/47-48 ________________________________________________________________________ EDUC HIGHEST YEAR OF SCHOOL COMPLETED 15. 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: 1/49-50 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 14 PAEDUC HIGHEST YEAR SCHOOL COMPLETED, FATHER 16. 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: 1/51-52 ________________________________________________________________________ MAEDUC HIGHEST YEAR SCHOOL COMPLETED, MOTHER 17. 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: 1/53-54 ________________________________________________________________________ SPEDUC HIGHEST YEAR SCHOOL COMPLETED, SPOUSE 18. 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: 1/55-56 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 15 DEGREE RS HIGHEST DEGREE 19. If finished 9th-12th grade: Did you ever get a high school diploma or a GED certificate? 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: 1/57 ________________________________________________________________________ PADEG FATHERS HIGHEST DEGREE 20. If finished 9th-12th grade: Did he ever get a high school diploma or a GED certificate? 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: 1/58 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 16 MADEG MOTHERS HIGHEST DEGREE 21. If finished 9th-12th grade: Did she ever get a high school diploma or a GED certificate? 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: 1/59 ________________________________________________________________________ SPDEG SPOUSES HIGHEST DEGREE 22. If finished 9th-12th grade: Did he/she ever get a high school diploma or a GED certificate? 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: 1/60 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 17 VETYEARS YEARS IN ARMED FORCES 1604. Have you ever been on active duty for military training or service for two consecutive months or more? IF YES: What was your total time on active duty? VALUE LABEL -1 NAP 0 NONE 1 LESS THAN 2 YRS 2 2 TO 4 YEARS 3 MORE THAN 4 YRS 4 SOME,DK HOW LONG 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/61-62 ________________________________________________________________________ VETKIND BRANCH OF SERVICE 1604a. In what branch of the service was that? VALUE LABEL -1 NAP 0 SEVERAL 1 AIR FORCE GUARD 2 AIR FORCE 3 NAVY 4 ARMY 5 NATIONAL GUARD 6 MARINES 7 COAST GUARD 8 PUBLIC HEALTH 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/63-64 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 18 WORKDY DAYS R NORMALLY WORKS 1605. What days of the week do you normally work? CODE ALL THAT APPLY. VALUE LABEL 0 NAP 1 MON TO FRI 2 MON TO FRI,SAT 3 MON TO FRI,SUN 4 WKEND PLUS 5 NO SCHEDULE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/65 ________________________________________________________________________ WORKHR HOURS R USUALLY WORKS 1606. What hours do you usually workdays, evenings, or nights? CIRCLE ONE CODE. VALUE LABEL 0 NAP 1 REG DAY 2 EVE 3 NIGHTS 4 VARIES 5 OTHER 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/66 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 19 SPDAYS DAYS SPOUSE NORMALLY WORKS 1607. What days of the week does (SPOUSE) normally work? CODE ALL THAT APPLY. VALUE LABEL 0 NAP 1 MON TO FRI 2 MON TO FRI,SAT 3 MON TO FRI,SUN 4 WKEND PLUS 5 NO SCHEDULE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/67 ________________________________________________________________________ SPHOUR HOURS SPOUSE USUALLY WORKS 1608. What hours does (he/she) usually work days, evenings, or nights? VALUE LABEL 0 NAP 1 REG DAY 2 EVE 3 NIGHTS 4 VARIES 5 OTHER 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/68 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 20 DWELLING TYPE OF STRUCTURE 1609. DWELLING TYPE. VALUE LABEL 0 NAP 1 TRAILER 2 DETACHED 1-FAM HOUSE 3 2 UNITS SIDE BY SIDE 4 2 UNITS-ONE ABOVE 5 3-4 FAM HOUSE 6 ROW HOUSE 7 APARTMENT HOUSE 8 APARTMENT-4 STORIES 9 APARTMENT-COMMERCIAL 10 OTHER 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/69-70 ________________________________________________________________________ DWELNGH DWELLING COMPARED TO OTHERS IN NBRHD 1610a. Compared to houses/apartments in the neighborhood, would you say the house/ apartment was . . . VALUE LABEL 0 NAP 1 FAR ABOVE AVERAGE 2 ABOVE AVERAGE 3 AVERAGE 4 BELOW AVERAGE 5 FAR BELOW AVERAGE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/71 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 21 DWELCITY DWELLING COMPARED TO OTHERS IN CITY 1610b. Compared to houses/apartments in the city/town/county, would you say the house was . . . VALUE LABEL 0 NAP 1 FAR ABOVE AVERAGE 2 ABOVE AVERAGE 3 AVERAGE 4 BELOW AVERAGE 5 FAR BELOW AVERAGE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/72 ________________________________________________________________________ DWELOWN DOES R OWN OR RENT HOME? 1611. (Do you/Does your family) own your (home/apartment), pay rent, or what? VALUE LABEL 0 NAP 1 OWN OR IS BUYING 2 PAYS RENT 3 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/73 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 22 WORDA WORD A 1612. We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them. On each line the first word is in capital letters like BEAST. Then there are five other words. Tell me the number of the word that comes closest to the meaning of the word in capital letters. For example, if the word in capital letters is BEAST, you would say "4" since "animal" come closer to BEAST than any of the other words. If you wish, I will read the words to you. These words are difficult for almost everyone just give me your best guess if you are not sure of the answer. VALUE LABEL -1 NAP 0 INCORRECT 1 CORRECT 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/74-75 ________________________________________________________________________ WORDB WORD B 1612. We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them. On each line the first word is in capital letters like BEAST. Then there are five other words. Tell me the number of the word that comes closest to the meaning of the word in capital letters. For example, if the word in capital letters is BEAST, you would say "4" since "animal" come closer to BEAST than any of the other words. If you wish, I will read the words to you. These words are difficult for almost everyone just give me your best guess if you are not sure of the answer. VALUE LABEL -1 NAP 0 INCORRECT 1 CORRECT 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/76-77 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 23 WORDC WORD C 1612. We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them. On each line the first word is in capital letters like BEAST. Then there are five other words. Tell me the number of the word that comes closest to the meaning of the word in capital letters. For example, if the word in capital letters is BEAST, you would say "4" since "animal" come closer to BEAST than any of the other words. If you wish, I will read the words to you. These words are difficult for almost everyone just give me your best guess if you are not sure of the answer. VALUE LABEL -1 NAP 0 INCORRECT 1 CORRECT 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/78-79 ________________________________________________________________________ WORDD WORD D 1612. We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them. On each line the first word is in capital letters like BEAST. Then there are five other words. Tell me the number of the word that comes closest to the meaning of the word in capital letters. For example, if the word in capital letters is BEAST, you would say "4" since "animal" come closer to BEAST than any of the other words. If you wish, I will read the words to you. These words are difficult for almost everyone just give me your best guess if you are not sure of the answer. VALUE LABEL -1 NAP 0 INCORRECT 1 CORRECT 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/80-81 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 24 WORDE WORD E 1612. We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them. On each line the first word is in capital letters like BEAST. Then there are five other words. Tell me the number of the word that comes closest to the meaning of the word in capital letters. For example, if the word in capital letters is BEAST, you would say "4" since "animal" come closer to BEAST than any of the other words. If you wish, I will read the words to you. These words are difficult for almost everyone just give me your best guess if you are not sure of the answer. VALUE LABEL -1 NAP 0 INCORRECT 1 CORRECT 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/82-83 ________________________________________________________________________ WORDF WORD F 1612. We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them. On each line the first word is in capital letters like BEAST. Then there are five other words. Tell me the number of the word that comes closest to the meaning of the word in capital letters. For example, if the word in capital letters is BEAST, you would say "4" since "animal" come closer to BEAST than any of the other words. If you wish, I will read the words to you. These words are difficult for almost everyone just give me your best guess if you are not sure of the answer. VALUE LABEL -1 NAP 0 INCORRECT 1 CORRECT 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/84-85 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 25 WORDG WORD G 1612. We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them. On each line the first word is in capital letters like BEAST. Then there are five other words. Tell me the number of the word that comes closest to the meaning of the word in capital letters. For example, if the word in capital letters is BEAST, you would say "4" since "animal" come closer to BEAST than any of the other words. If you wish, I will read the words to you. These words are difficult for almost everyone just give me your best guess if you are not sure of the answer. VALUE LABEL -1 NAP 0 INCORRECT 1 CORRECT 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/86-87 ________________________________________________________________________ WORDH WORD H 1612. We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them. On each line the first word is in capital letters like BEAST. Then there are five other words. Tell me the number of the word that comes closest to the meaning of the word in capital letters. For example, if the word in capital letters is BEAST, you would say "4" since "animal" come closer to BEAST than any of the other words. If you wish, I will read the words to you. These words are difficult for almost everyone just give me your best guess if you are not sure of the answer. VALUE LABEL -1 NAP 0 INCORRECT 1 CORRECT 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/88-89 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 26 WORDI WORD I 1612. We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them. On each line the first word is in capital letters like BEAST. Then there are five other words. Tell me the number of the word that comes closest to the meaning of the word in capital letters. For example, if the word in capital letters is BEAST, you would say "4" since "animal" come closer to BEAST than any of the other words. If you wish, I will read the words to you. These words are difficult for almost everyone just give me your best guess if you are not sure of the answer. VALUE LABEL -1 NAP 0 INCORRECT 1 CORRECT 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/90-91 ________________________________________________________________________ WORDJ WORD J 1612. We would like to know something about how people go about guessing words they do not know. On this card are listed some words--you may know some of them, and you may not know quite a few of them. On each line the first word is in capital letters like BEAST. Then there are five other words. Tell me the number of the word that comes closest to the meaning of the word in capital letters. For example, if the word in capital letters is BEAST, you would say "4" since "animal" come closer to BEAST than any of the other words. If you wish, I will read the words to you. These words are difficult for almost everyone just give me your best guess if you are not sure of the answer. VALUE LABEL -1 NAP 0 INCORRECT 1 CORRECT 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/92-93 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 27 WORDSUM NUMBER WORDS CORRECT IN VOCABULARY TEST 1612k. Total number of correct words. VALUE LABEL -1 NAP 99 DID NOT TRY Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/94-95 ________________________________________________________________________ GODOC LAST WEEK WENT TO SEE A DOCTOR? 1614. Now I'm going to ask you about things you did during the last seven days. I'm only interested in what you did during the last seven days. From last (DAY OF WEEK) to today did you... a. Go to see a doctor or receive medical treatment at a clinic or hospital? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/96 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 28 EATOUT LAST WEEK HAD A MEAL AT A RESTAURANT 1614. Now I'm going to ask you about things you did during the last seven days. I'm only interested in what you did during the last seven days. From last (DAY OF WEEK) to today did you... b. Have a meal (breakfast, lunch or dinner) at a restaurant (including fast food places and take-outs)? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/97 ________________________________________________________________________ SEEFILM LAST WEEK WENT TO SEE A FILM? 1614. Now I'm going to ask you about things you did during the last seven days. I'm only interested in what you did during the last seven days. From last (DAY OF WEEK) to today did you... c. Go to a movie theater to see a film? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/98 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 29 ATTRELIG LAST WEEK ATTENDED RELIGIOUS SERVICES? 1614. Now I'm going to ask you about things you did during the last seven days. I'm only interested in what you did during the last seven days. From last (DAY OF WEEK) to today did you... d. 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: 1/99 ________________________________________________________________________ NUMDAYS NUMBER OF DAYS ATTENDED RELIGIOUS SERVICES 1615. On what day or days do you attend religious services during the last seven days? (PROBE, ASK UNTIL "NO" IS GIVEN: "Did you attend religious services on any other days during the last seven days?") VALUE LABEL -1 NAP 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/columns: 1/100-101 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 30 SUNDAY ATTENDED RELIGIOUS SERVICES LAST SUNDAY 1615. On what day or days do you attend religious services during the last seven days? (PROBE, ASK UNTIL "NO" IS GIVEN: "Did you attend religious services on any other days during the last seven days?") SUNDAY VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/102 ________________________________________________________________________ MONDAY ATTENDED RELIGIOUS SERVICES LAST MONDAY 1615. On what day or days do you attend religious services during the last seven days? (PROBE, ASK UNTIL "NO" IS GIVEN: "Did you attend religious services on any other days during the last seven days?") MONDAY VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/103 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 31 TUESDAY ATTENDED RELIGIOUS SERVICES LAST TUESDAY 1615. On what day or days do you attend religious services during the last seven days? (PROBE, ASK UNTIL "NO" IS GIVEN: "Did you attend religious services on any other days during the last seven days?") TUESDAY VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/104 ________________________________________________________________________ WEDNESDY ATTENDED RELIGIOUS SERVICES LAST WEDNESD 1615. On what day or days do you attend religious services during the last seven days? (PROBE, ASK UNTIL "NO" IS GIVEN: "Did you attend religious services on any other days during the last seven days?") WEDNESDAY VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/105 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 32 THURSDAY ATTENDED RELIGIOUS SERVICES LAST THURSDA 1615. On what day or days do you attend religious services during the last seven days? (PROBE, ASK UNTIL "NO" IS GIVEN: "Did you attend religious services on any other days during the last seven days?") THURSDAY VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/106 ________________________________________________________________________ FRIDAY ATTENDED RELIGIOUS SERVICES LAST FRIDAY 1615. On what day or days do you attend religious services during the last seven days? (PROBE, ASK UNTIL "NO" IS GIVEN: "Did you attend religious services on any other days during the last seven days?") FRIDAY VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/107 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 33 SATURDAY ATTENDED RELIGIOUS SERVICES LAST SATURDA 1615. On what day or days do you attend religious services during the last seven days? (PROBE, ASK UNTIL "NO" IS GIVEN: "Did you attend religious services on any other days during the last seven days?") SATURDAY VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/108 ________________________________________________________________________ ATTREG LAST 7 DAYS ATTEND A WORSHIP SERVICE 1616. During the last seven days did you do the following: a. Attend a regular, weekly worship service at a church/synagogue (e.g. mass or Sunday morning services). Don't include watching a service on TV or listening to one on the radio. VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/109 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 34 MEDIAREL WATCH A RELIGIOUS PROGRAM ON TELEVISION-RADIO? 1616. During the last seven days did you do the following: b. Watch a religious program on television or listen to a religious program on the radio? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/110 ________________________________________________________________________ OTHREL ATTEND SOME OTHER TYPE OF RELIGIOUS EVENT 1616. During the last seven days did you do the following: c. Attend some other type of religious event or meeting (e.g. prayer breakfasts, Bible study groups, choir practices, church sponsored lectures, adult fellowship meetings)? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/111 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 35 OTHREL1 WHAT TYPE OF RELIGIOUS EVENTS OR MEETINGS 1617. [Besides the regular, weekly worship service], what type of religious events or meetings did you attend during the last seven days? VALUE LABEL 0 NAP 1 BIBLE STUDY,CLASS 2 CHOIR, CHORAL, CONCERT, PLAY 3 DISCUSSION GROUP 4 LECTURE 5 GOVERNING BOARD, ETC 6 PREACHING, TAUGHT SUNDAY SCHOOL 7 PRAYER GROUP, BREAKFAST, MEETING 8 COUNSELING 9 WORSHIP SERVICE 10 OTHER, RELIGIOUS 11 OTHER, NON-RELIGIOUS 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/112-113 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 36 OTHREL2 WHAT TYPE OF RELIGIOUS EVENTS OR MEETINGS 1617. [Besides the regular, weekly worship service], what type of religious events or meetings did you attend during the last seven days? VALUE LABEL 0 NAP 1 BIBLE STUDY,CLASS 2 CHOIR, CHORAL, CONCERT, PLAY 3 DISCUSSION GROUP 4 LECTURE 5 GOVERNING BOARD, ETC 6 PREACHING, TAUGHT SUNDAY SCHOOL 7 PRAYER GROUP, BREAKFAST, MEETING 8 COUNSELING 9 WORSHIP SERVICE 10 OTHER, RELIGIOUS 11 OTHER, NON-RELIGIOUS 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/114-115 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 37 OTHREL3 WHAT TYPE OF RELIGIOUS EVENTS OR MEETINGS 1617. [Besides the regular, weekly worship service], what type of religious events or meetings did you attend during the last seven days? VALUE LABEL 0 NAP 1 BIBLE STUDY,CLASS 2 CHOIR, CHORAL, CONCERT, PLAY 3 DISCUSSION GROUP 4 LECTURE 5 GOVERNING BOARD, ETC 6 PREACHING, TAUGHT SUNDAY SCHOOL 7 PRAYER GROUP, BREAKFAST, MEETING 8 COUNSELING 9 WORSHIP SERVICE 10 OTHER, RELIGIOUS 11 OTHER, NON-RELIGIOUS 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/116-117 ________________________________________________________________________ ATTWEEK ATTEND RELIGIOUS EVENTS DURING THE LAST WEEK 1618. Did you, yourself, happen to attend church or synagogue in the last seven days? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/118 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 38 RELIGID RS RELIGIOUS IDENTITY 1619a. When it comes to your religious identity, would you say you are a fundamentalist, evangelical, mainline, or liberal Protestant or do none of these describe you? VALUE LABEL 0 NAP 1 FUNDAMENTALIST 2 EVANGELICAL 3 MAINLINE 4 LIBERAL 5 NONE 6 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/119 ________________________________________________________________________ RELID1 PROTESTANT IDENTIFICATION 1ST MENTION 1619b. When it comes to your religious identity, would you say you are a pentecostal, fundamentalist, evangelical, mainline, or liberal Protestant, or do none of these describe you? VALUE LABEL 0 NAP 1 PENTECOSTAL 2 FUNDAMENTALIST 3 EVANGELICAL 4 MAINLINE 5 LIBERAL 6 NONE 7 OTHER (SPECIFY) 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/120 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 39 RELID2 PROTESTANT IDENTIFICATION 2ND MENTION 1619c. Do you consider yourself to be a member of READ REMAINING GROUPS? VALUE LABEL 0 NAP 1 PENTECOSTAL 2 FUNDAMENTALIST 3 EVANGELICAL 4 MAINLINE 5 LIBERAL 6 NONE 7 OTHER (SPECIFY) 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/121 ________________________________________________________________________ RELID3 PROTESTANT IDENTIFICATION 3RD MENTION 1619d. Do you also consider yourself to be a member of READ REMAINING GROUPS? VALUE LABEL 0 NAP 1 PENTECOSTAL 2 FUNDAMENTALIST 3 EVANGELICAL 4 MAINLINE 5 LIBERAL 6 NONE 7 OTHER (SPECIFY) 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/122 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 40 RELIDBST PROTESTANT IDENTIFICATION BEST GROUP 1619e. Which of these best describes what you are? VALUE LABEL 0 NAP 1 PENTECOSTAL 2 FUNDAMENTALIST 3 EVANGELICAL 4 MAINLINE 5 LIBERAL 6 NONE 7 OTHER (SPECIFY) 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/123 ________________________________________________________________________ CATHID IF CATHOLIC WHAT IDENTITY 1619f. When it comes to your religious identity, would you say you are a traditional, moderate, or liberal Catholic, or do none of these describe you? VALUE LABEL 0 NAP 1 TRADITIONAL 2 MODERATE 3 LIBERAL 4 NONE 6 OTHER (SPECIFY) 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/124 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 41 CHARISMA IS R ASSOCIATED WITH CHARISMATIC MOVEMENT 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. 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 ________________________________________________________________________ RELATE1 RELATIONSHIP OF 1ST PERSON TO HOUSEHOLD HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/126 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 42 GENDER1 GENDER OF 1ST PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/127 ________________________________________________________________________ OLD1 AGE OF 1ST PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/128-129 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 43 MAR1 MARITAL STATUS OF 1ST PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/130 ________________________________________________________________________ AWAY1 IS 1ST PERSON STAYING SOMEWHERE ELSE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/131 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 44 WHERE1 WHERE IS 1ST PERSON STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/132 ________________________________________________________________________ RELATE2 RELATIONSHIP OF 2ND PERSON TO HOUSEHOLD HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/133 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 45 GENDER2 GENDER OF 2ND PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/134 ________________________________________________________________________ OLD2 AGE OF 2ND PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/135-136 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 46 MAR2 MARITAL STATUS OF 2ND PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/137 ________________________________________________________________________ AWAY2 IS 2ND PERSON STAYING SOMEWHERE ELSE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/138 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 47 WHERE2 WHERE IS 2ND PERSON STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/139 ________________________________________________________________________ RELATE3 RELATIONSHIP OF 3RD PERSON TO HOUSEHOLD HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/140 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 48 GENDER3 GENDER OF 3RD PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/141 ________________________________________________________________________ OLD3 AGE OF 3RD PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/142-143 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 49 MAR3 MARITAL STATUS OF 3RD PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/144 ________________________________________________________________________ AWAY3 IS 3RD PERSON STAYING SOMEWHERE ELSE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/145 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 50 WHERE3 WHERE IS 3RD PERSON STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/146 ________________________________________________________________________ RELATE4 RELATIONSHIP OF 4TH PERSON TO HOUSEHOLD HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/147 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 51 GENDER4 GENDER OF 4TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/148 ________________________________________________________________________ OLD4 AGE OF 4TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/149-150 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 52 MAR4 MARITAL STATUS OF 4TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/151 ________________________________________________________________________ AWAY4 IS 4TH PERSON STAYING SOMEWHERE ELSE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/152 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 53 WHERE4 WHERE IS 4TH PERSON STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/153 ________________________________________________________________________ RELATE5 RELATIONSHIP OF 5TH PERSON TO HOUSEHOLD HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/154 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 54 GENDER5 GENDER OF 5TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/155 ________________________________________________________________________ OLD5 AGE OF 5TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/156-157 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 55 MAR5 MARITAL STATUS OF 5TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/158 ________________________________________________________________________ AWAY5 IS 5TH PERSON STAYING SOMEWHERE ELSE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/159 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 56 WHERE5 WHERE IS 5TH PERSON STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/160 ________________________________________________________________________ RELATE6 RELATIONSHIP OF 6TH PERSON TO HOUSEHOLD HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/161 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 57 GENDER6 GENDER OF 6TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/162 ________________________________________________________________________ OLD6 AGE OF 6TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/163-164 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 58 MAR6 MARITAL STATUS OF 6TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/165 ________________________________________________________________________ AWAY6 IS 6TH PERSON STAYING SOMEWHERE ELSE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/166 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 59 WHERE6 WHERE IS 6TH PERSON STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/167 ________________________________________________________________________ RELATE7 RELATIONSHIP OF 7TH PERSON TO HOUSEHOLD HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/168 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 60 GENDER7 GENDER OF 7TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/169 ________________________________________________________________________ OLD7 AGE OF 7TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/170-171 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 61 MAR7 MARITAL STATUS OF 7TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/172 ________________________________________________________________________ AWAY7 IS 7TH PERSON STAYING SOMEWHERE ELSE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/173 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 62 WHERE7 WHERE IS 7TH PERSON STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/174 ________________________________________________________________________ RELATE8 RELATIONSHIP OF 8TH PERSON TO HOUSEHOLD HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/175 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 63 GENDER8 GENDER OF 8TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/176 ________________________________________________________________________ OLD8 AGE OF 8TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/177-178 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 64 MAR8 MARITAL STATUS OF 8TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/179 ________________________________________________________________________ AWAY8 IS 8TH PERSON STAYING SOMEWHERE ELSE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/180 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 65 WHERE8 WHERE IS 8TH PERSON STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/181 ________________________________________________________________________ RELATE9 RELATIONSHIP OF 9TH PERSON TO HOUSEHOLD HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/182 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 66 GENDER9 GENDER OF 9TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/183 ________________________________________________________________________ OLD9 AGE OF 9TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/184-185 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 67 MAR9 MARITAL STATUS OF 9TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/186 ________________________________________________________________________ AWAY9 IS 9TH PERSON STAYING SOMEWHERE ELSE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/187 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 68 WHERE9 WHERE IS 9TH PERSON STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/188 ________________________________________________________________________ RELATE10 RELATIONSHIP OF 10TH PERSON TO HOUSEHOLD HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/189 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 69 GENDER10 GENDER OF 10TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/190 ________________________________________________________________________ OLD10 AGE OF 1OTH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/191-192 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 70 MAR10 MARITAL STATUS OF 10TH PERSON 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/193 ________________________________________________________________________ AWAY10 IS 10TH PERSON STAYING SOMEWHERE ELSE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/194 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 71 WHERE10 WHERE IS 1OTH PERSON STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/195 ________________________________________________________________________ RELATE11 RELATION OF 11TH PERSON (VISITOR) TO HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/196 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 72 GENDER11 GENDER OF 11TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/197 ________________________________________________________________________ OLD11 AGE OF 11TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/198-199 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 73 MAR11 MARITAL STATUS OF 11TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/200 ________________________________________________________________________ AWAY11 IS 11TH PERSON (VISITOR) STAYING ELSEWHERE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/201 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 74 WHERE11 WHERE IS 11TH PERSON (VISITOR) STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/202 ________________________________________________________________________ RELATE12 RELATION OF 12TH PERSON (VISITOR) TO HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/203 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 75 GENDER12 GENDER OF 12TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/204 ________________________________________________________________________ OLD12 AGE OF 12TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/205-206 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 76 MAR12 MARITAL STATUS OF 12TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/207 ________________________________________________________________________ AWAY12 IS 12TH PERSON (VISITOR) STAYING ELSEWHERE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/208 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 77 WHERE12 WHERE IS 12TH PERSON (VISITOR) STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/209 ________________________________________________________________________ RELATE13 RELATION OF 13TH PERSON (VISITOR) TO HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/210 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 78 GENDER13 GENDER OF 13TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/211 ________________________________________________________________________ OLD13 AGE OF 13TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/212-213 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 79 MAR13 MARITAL STATUS OF 13TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/214 ________________________________________________________________________ AWAY13 IS 13TH PERSON (VISITOR) STAYING ELSEWHERE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/215 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 80 WHERE13 WHERE IS 13TH PERSON (VISITOR) STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/216 ________________________________________________________________________ RELATE14 RELATION OF 14TH PERSON (VISITOR) TO HEAD 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. a. What is [PERSON]'s relationship to the head of household? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/217 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 81 GENDER14 GENDER OF 14TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. b. Code sex [ASK IF NOT OBVIOUS] VALUE LABEL 0 NAP 1 MALE 2 FEMALE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/218 ________________________________________________________________________ OLD14 AGE OF 14TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. c. How old was [PERSON] on his/her last birthday? VALUE LABEL -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/219-220 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 82 MAR14 MARITAL STATUS OF 14TH PERSON (VISITOR) 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. d. IF 13 YEARS OR OLDER: Is [PERSON] now married, widowed, divorced, separated, or has he/she never been married? VALUE LABEL 0 NAP 1 MARRIED 2 WIDOWED 3 DIVORCED 4 SEPARATED 5 NEVER MARRIED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/221 ________________________________________________________________________ AWAY14 IS 14TH PERSON (VISITOR) STAYING ELSEWHERE NOW? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. e. Are any of the people we have listed staying somewhere else right now? If yes, who is staying somewhere else right now? VALUE LABEL 0 NAP 1 YES 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/222 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 83 WHERE14 WHERE IS 14TH PERSON (VISITOR) STAYING? 1621. Please tell me the names of the people who usually live in this household. Let's start with the head of the household. f. Where is [PERSON] staying right now? Is [PERSON] staying at another household; Is (he/she) traveling; Is (he/she) in some institution or dormitory--like at college or in a hospital or something; or what? VALUE LABEL 0 NAP 1 ANOTHER HOUSEHOLD 2 TRAVELING 3 INSTITUTION 4 OTHER, DK 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/223 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 84 RELHHD1 RELATION OF 1ST PERSON TO HOUSEHOLD HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/224-225 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 85 RELHHD2 RELATION OF 2ND PERSON TO HOUSEHOLD HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/226-227 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 86 RELHHD3 RELATION OF 3RD PERSON TO HOUSEHOLD HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/228-229 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 87 RELHHD4 RELATION OF 4TH PERSON TO HOUSEHOLD HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/230-231 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 88 RELHHD5 RELATION OF 5TH PERSON TO HOUSEHOLD HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/232-233 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 89 RELHHD6 RELATION OF 6TH PERSON TO HOUSEHOLD HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/234-235 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 90 RELHHD7 RELATION OF 7TH PERSON TO HOUSEHOLD HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/236-237 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 91 RELHHD8 RELATION OF 8TH PERSON TO HOUSEHOLD HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/238-239 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 92 RELHHD9 RELATION OF 9TH PERSON TO HOUSEHOLD HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/240-241 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 93 RELHHD10 RELATION OF 1OTH PERSON TO HOUSEHOLD HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/242-243 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 94 RELHHD11 RELATION OF 11TH PERSON (VISITOR) TO HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/244-245 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 95 RELHHD12 RELATION OF 12TH PERSON (VISITOR) TO HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/246-247 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 96 RELHHD13 RELATION OF 13TH PERSON (VISITOR) TO HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/248-249 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 97 RELHHD14 RELATION OF 14TH PERSON (VISITOR) TO HEAD 1622. What is (PERSON)'s relationship to (HEAD OF HOUSEHOLD)? VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 PARTNER,FIANCE-E-,BOYFRIEND,GIRLFRIEND,ETC 4 CHILD,NATURAL OR ADOPTED,STEPCHILD 5 GRANDCHILD,GREAT-GRANCHILD 6 SON-IN-LAW,DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT,GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER,SISTER-FULL,HALF, OR STEP SIBLING- 14 SIBLING-IN-LAW 15 OTHER RELATIVE-GREAT-AUNT,GRANDNIECE,ETC.- 16 ROOMMATE,HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE-EMPLOYEE,BOARDER- 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/250-251 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 98 HEFINFO NUMBER OF PEOPLE IN INFORMANT S HOUSEHOLD 1623. Number in family of person who was household informant (i.e. who provided information on household members). VALUE LABEL 0 NAP 1 1ST PERSON 2 2ND PERSON 3 3RD PERSON 4 4TH PERSON 5 5TH PERSON 6 6TH PERSON 7 7TH PERSON 8 8TH PERSON 9 9TH PERSON 10 10TH PERSON 11 11TH PERSON 12 12TH PERSON 13 13TH PERSON 14 14TH PERSON 22 NOT IN HOUSEHOLD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/252-253 ________________________________________________________________________ HHRACE RACE OF HOUSEHOLD 1624. Race of household. VALUE LABEL 0 NAP 1 WHITE 2 BLACK 3 AMER INDIAN 4 ASIATIC, ORIENTAL 5 OTHER, MIXED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/254 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 99 RESPNUM NUMBER IN FAMILY OF R 1625. Number in family of respondent. VALUE LABEL 0 NAP 1 1ST PERSON 2 2ND PERSON 3 3RD PERSON 4 4TH PERSON 5 5TH PERSON 6 6TH PERSON 7 7TH PERSON 8 8TH PERSON 9 9TH PERSON 10 10TH PERSON 11 11TH PERSON 12 12TH PERSON 13 13TH PERSON 14 14TH PERSON 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/255-256 ________________________________________________________________________ HHTYPE HOUSEHOLD TYPE 1626. Household Type. Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/257-259 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 100 HHTYPE1 HOUSEHOLD TYPE (CONDENSED) 1627. Household type (condensed). VALUE LABEL 0 NAP 1 MARRIED COUPLE, NO CHILDREN 2 SINGLE PARENT 3 OTHER FAM., NO CHILDREN 4 SINGLE ADULT 5 COHAB COUPLE, NO CHILDREN 6 NON-FAMILY, NO CHILDREN 8 UNSURE, NO CHILDREN 11 MARRIED COUPLE W CHILDREN 13 OTHER FAMILY W CHILDREN 15 COHAB COUPLE W CHILDREN 16 NON-FAMILY W CHILDREN 18 UNSURE W CHILDREN 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/260-261 ________________________________________________________________________ FAMGEN NUMBER OF FAMILY GENERATIONS IN HOUSEHOLD 1628. Number of family generations in household. VALUE LABEL 0 NAP 1 1 GEN 2 2 GENS, CHILDREN 3 2 GENS, PARENTS 4 2 GENS, GRANDCHLDRN 5 3 GENS, GRANDCHLDRN 6 3 GENS, CHLD, PAR 7 4 GENS 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/262 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 101 RPLACE RS RELATIONSHIP TO HOUSEHOLD HEAD 1629. Respondent's relationship to household head. VALUE LABEL 0 NAP 1 HEAD OF HOUSEHOLD 2 SPOUSE 3 CHILD 4 SON OR DAUGHTER-IN-LAW 5 GRAND OR GREAT-GRANDCHILD 6 PARENT OR PARENT-IN-LAW 7 OTHER RELATIVE 8 NON-RELATIVE 9 NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/263 ________________________________________________________________________ RVISITOR IS R A VISITOR? 1630. Is respondent a visitor? VALUE LABEL 0 NAP 1 R. IS HOUSEHOLD MEMBER 2 R. IS VISITOR 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/264 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 102 VISITORS NUMBER OF VISITORS IN HOUSEHOLD 1631. Number of visitors in household. VALUE LABEL -1 NAP 0 NO VISITORS 1 1 VISITOR 2 2 VISITORS 3 3 VISITORS 4 4 VISITORS 8 DK 9 NA Data type: numeric Missing-data codes: -1,8,9 Record/columns: 1/265-266 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 103 RELHH1 RELATIONSHIP OF PERSON 1 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/267-268 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 104 RELHH2 RELATIONSHIP OF PERSON 2 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/269-270 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 105 RELHH3 RELATIONSHIP OF PERSON 3 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/271-272 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 106 RELHH4 RELATIONSHIP OF PERSON 4 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/273-274 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 107 RELHH5 RELATIONSHIP OF PERSON 5 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/275-276 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 108 RELHH6 RELATIONSHIP OF PERSON 6 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/277-278 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 109 RELHH7 RELATIONSHIP OF PERSON 7 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/279-280 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 110 RELHH8 RELATIONSHIP OF PERSON 8 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/281-282 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 111 RELHH9 RELATIONSHIP OF PERSON 9 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/283-284 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 112 RELHH10 RELATIONSHIP OF PERSON 10 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/285-286 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 113 RELHH11 RELATIONSHIP OF PERSON 11 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/287-288 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 114 RELHH12 RELATIONSHIP OF PERSON 12 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/289-290 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 115 RELHH13 RELATIONSHIP OF PERSON 13 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/291-292 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 116 RELHH14 RELATIONSHIP OF PERSON 14 TO HEAD OF HOUSEHOLD 1632. What is (PERSON)'s relationship to head of household? VALUE LABEL 0 NAP 1 HOUSEHOLDER 2 SPOUSE 3 PARTNER,GIRL(BOY)FRIEND 4 CHILD, UNSP 5 GRANDCHILD, GREAT GRANDCHILD 6 SON (DAUGHTER)-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER 14 SIBLING-IN-LAW 15 OTHER RELATIVE 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RLATIVE 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/293-294 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 117 RELSP1 RELATIONSHIP OF PERSON 1 TO SPOUSE OF HOUSEHOL 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/295-296 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 118 RELSP2 RELATIONSHIP OF PERSON 2 TO SPOUSE OF HOUSEHOL 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/297-298 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 119 RELSP3 RELATIONSHIP OF PERSON 3 TO SPOUSE OF HOUSEHOL 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/299-300 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 120 RELSP4 RELATIONSHIP OF PERSON 4 TO SPOUSE OF HOUSEHOL 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/301-302 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 121 RELSP5 RELATIONSHIP OF PERSON 5 TO SPOUSE OF HOUSEHOL 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/303-304 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 122 RELSP6 RELATIONSHIP OF PERSON 6 TO SPOUSE OF HOUSEHOL 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/305-306 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 123 RELSP7 RELATIONSHIP OF PERSON 7 TO SPOUSE OF HOUSEHOL 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/307-308 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 124 RELSP8 RELATIONSHIP OF PERSON 8 TO SPOUSE OF HOUSEHOL 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/309-310 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 125 RELSP9 RELATIONSHIP OF PERSON 9 TO SPOUSE OF HOUSEHOL 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/311-312 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 126 RELSP10 RELATIONSHIP OF PERSON 10 TO SPOUSE OF HOUSEHO 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/313-314 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 127 RELSP11 RELATIONSHIP OF PERSON 11 TO SPOUSE OF HOUSEHO 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/315-316 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 128 RELSP12 RELATIONSHIP OF PERSON 12 TO SPOUSE OF HOUSEHO 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/317-318 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 129 RELSP13 RELATIONSHIP OF PERSON 13 TO SPOUSE OF HOUSEHO 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/319-320 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 130 RELSP14 RELATIONSHIP OF PERSON 14 TO SPOUSE OF HOUSEHO 1633. What is (NAME)'s relationship to spouse? VALUE LABEL 0 NAP 1 HH SPOUSE, PARTNER 2 SPOUSE 3 PARTNER, FIANCE, BOYFRIEND, GIRLFRIEND, ETC 4 CHILD, NOT SPECIFIED 5 GRANDCHILD, GREAT-GRANDCHILD 6 SON-IN-LAW, DAUGHTER-IN-LAW 7 PARENT 8 PARENT-IN-LAW 9 GRANDPARENT, GREAT-GRANDPARENT 10 UNCLE OR AUNT 11 NIECE OR NEPHEW 12 COUSIN 13 BROTHER, SISTER (FULL, HALF, OR STEP SIBLING 14 SIBLING-IN-LAW 15 OTHER RELATIVE (GREAT-AUNT, GRANDNIECE, ETC) 16 ROOMMATE, HOUSEMATE 17 FRIEND 18 CHILD OF NON-RELATIVE 19 OTHER NON-RELATIVE (EMPLOYEE, BOARDER) 41 BIOLOGICAL CHILD 42 ADOPTED CHILD 43 STEPCHILD 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/321-322 ________________________________________________________________________ DATEINTV DATE OF INTERVIEW 1634. Date of interview. VALUE LABEL 0 NAP 9999 NA Data type: numeric Missing-data codes: 0,9999 Record/columns: 1/323-326 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 131 ISCO68 RESPONDENT S OCCUPATION, 1970 CENSUS 1635. Respondent's occupation (International Standard Classification Codes-1968) VALUE LABEL 0 NAP 9998 DK Data type: numeric Missing-data codes: 0,9998 Record/columns: 1/327-330 ________________________________________________________________________ PAISCO68 RS FATHER S OCCUPATION, 1970 CENSUS 1636. Occupation of respondent's father (International Standard Classification Codes-1968) VALUE LABEL 0 NAP 9998 DK Data type: numeric Missing-data codes: 0,9998 Record/columns: 1/331-334 ________________________________________________________________________ SPISCO68 R S SPOUSE S OCCUPATION, 1970 CENSUS 1637. Occupation of respondent's spouse (International Standard Classification Codes-1968) VALUE LABEL 0 NAP 9998 DK Data type: numeric Missing-data codes: 0,9998 Record/columns: 1/335-338 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 132 ISCO681 RESPONDENT S OCCUPATION, 1980 CENSUS 1638. Respondent's occupation (International Standard Classification Codes-1968) VALUE LABEL 0 NAP 9998 DK Data type: numeric Missing-data codes: 0,9998 Record/columns: 1/339-342 ________________________________________________________________________ PAISC681 R S FATHER S OCCUPATION, 1980 CENSUS 1639. Occupation of respondent's father (International Standard Classification Codes-1968) VALUE LABEL 0 NAP 9998 DK Data type: numeric Missing-data codes: 0,9998 Record/columns: 1/343-346 ________________________________________________________________________ MAISC681 R S MOTHER S OCCUPATION, 1980 CENSUS 1640. Occupation of respondent's mother (International Standard Classification Codes-1968) VALUE LABEL 0 NAP 9998 DK Data type: numeric Missing-data codes: 0,9998 Record/columns: 1/347-350 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 133 SPISC681 R S SPOUSE S OCCUPATION, 1980 CENSUS 1641. Occupation of respondent's spouse (International Standard Classification Codes-1968) VALUE LABEL 0 NAP 9998 DK Data type: numeric Missing-data codes: 0,9998 Record/columns: 1/351-354 ________________________________________________________________________ ISCO88 RESPONDENT S OCCUPATION, 1988 CENSUS 1642. Respondent's Occupation, 1988 Census VALUE LABEL 0 NAP 9998 DK 9999 NA Data type: numeric Missing-data codes: 0,9998,9999 Record/columns: 1/355-358 ________________________________________________________________________ PAISCO88 R S FATHER S OCCUPATION, 1988 CENSUS 1643. Respondent's Father's Occupation, 1988 Census VALUE LABEL 0 NAP 9998 DK 9999 NA Data type: numeric Missing-data codes: 0,9998,9999 Record/columns: 1/359-362 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 134 MAISCO88 R S MOTHER S OCCUPATION, 1988 CENSUS 1644. Respondent's Mother's Occupation, 1988 Census VALUE LABEL 0 NAP 9998 DK 9999 NA Data type: numeric Missing-data codes: 0,9998,9999 Record/columns: 1/363-366 ________________________________________________________________________ SPISCO88 R S SPOUSE S OCCUPATION, 1988 CENSUS 1645. Respondent's Spouse's Occupation, 1988 Census VALUE LABEL 0 NAP 9998 DK 9999 NA Data type: numeric Missing-data codes: 0,9998,9999 Record/columns: 1/367-370 ________________________________________________________________________ SEI RESPONDENT SOCIOECONOMIC INDEX 1646. Respondent socioeconomic index. VALUE LABEL -1.0 NAP 99.8 DK 99.9 NA Data type: numeric Decimals: 1 Missing-data codes: -1.0,99.8,99.9 Record/columns: 1/371-374 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 135 FIRSTSEI RESPONDENT SOCIOECONOMIC INDEX FIRST OCCUPATION 1647. Socioeconomic index of respondent's first occupation. VALUE LABEL -1.0 NAP 99.8 DK 99.9 NA Data type: numeric Decimals: 1 Missing-data codes: -1.0,99.8,99.9 Record/columns: 1/375-378 ________________________________________________________________________ PASEI R S FATHER S SOCIOECONOMIC INDEX 1648. Socioeconomic index of respondent's father. VALUE LABEL -1.0 NAP 99.8 DK 99.9 NA Data type: numeric Decimals: 1 Missing-data codes: -1.0,99.8,99.9 Record/columns: 1/379-382 ________________________________________________________________________ MASEI R S MOTHER S SOCIOECONOMIC INDEX 1649. Socioeconomic index of respondent's mother. VALUE LABEL -1.0 NAP 99.8 DK 99.9 NA Data type: numeric Decimals: 1 Missing-data codes: -1.0,99.8,99.9 Record/columns: 1/383-386 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 136 SPSEI R S SPOUSE S SOCIOECONOMIC INDEX 1650. Socioeconomic index of respondent's spouse. VALUE LABEL -1.0 NAP 99.8 DK 99.9 NA Data type: numeric Decimals: 1 Missing-data codes: -1.0,99.8,99.9 Record/columns: 1/387-390 ________________________________________________________________________ COHORT YEAR OF BIRTH 1651. Birth cohort of respondent. VALUE LABEL 0 NAP 9999 NA Data type: numeric Missing-data codes: 0,9999 Record/columns: 1/391-394 ________________________________________________________________________ MARCOHRT YEAR OF FIRST MARRIAGE 1652. Marriage cohort of the respondent. VALUE LABEL 0 NAP 9999 NA Data type: numeric Missing-data codes: 0,9999 Record/columns: 1/395-398 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 137 BIRTHMO MONTH IN WHICH R WAS BORN 1653. What is your date of birth? VALUE LABEL 0 NAP 1 JANUARY 2 FEBRUARY 3 MARCH 4 APRIL 5 MAY 6 JUNE 7 JULY 8 AUGUST 9 SEPTEMBER 10 OCTOBER 11 NOVEMBER 12 DECEMBER 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/399-400 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 138 ZODIAC RESPONDENTS ASTROLOGICAL SIGN 654. ASTROLOGICAL SIGN OF RESPONDENT VALUE LABEL 0 NAP 1 ARIES 2 TAURUS 3 GEMINI 4 CANCER 5 LEO 6 VIRGO 7 LIBRA 8 SCORPIO 9 SAGITTARIUS 10 CAPRICORN 11 AQUARIUS 12 PISCES 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/401-402 ________________________________________________________________________ WRKSTAT LABOR FRCE STATUS 1. 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: 1/403 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 139 HRS1 NUMBER OF HOURS WORKED LAST WEEK 1a. 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: 1/404-405 ________________________________________________________________________ HRS2 NUMBER OF HOURS USUALLY WORK A WEEK 1b. 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: 1/406-407 ________________________________________________________________________ EVWORK EVER WORK AS LONG AS ONE YEAR 1c. 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: 1/408 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 140 OCC RS CENSUS OCCUPATION CODE (1970) 2a. 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: 1/409-411 ________________________________________________________________________ PRESTIGE RS OCCUPATIONAL PRESTIGE SCORE (1970) 2a. What kind of work do you (did you normally) do? That is, what (is/was)your job called? b. What (do/did) you actually do in that job? Tell me, what (are/were) some of your main duties? VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/412-413 ________________________________________________________________________ WRKSLF R SELF-EMP OR WORKS FOR SOMEBODY 2e. (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: 1/414 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 141 WRKGOVT GOVT OR PRIVATE EMPLOYEE 2f. (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: 1/415 ________________________________________________________________________ COMMUTE TRAVEL TIME TO WORK 2g. 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: 1/416-417 ________________________________________________________________________ INDUSTRY RS INDUSTRY CODE (1970) 2c. What kind of place (do/did) you work for? d. What (do/did) they (make/do)? VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/418-420 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 142 OCC80 RS CENSUS OCCUPATION CODE (1980) 3. Respondent's occupation, prestige, and industry VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/421-423 ________________________________________________________________________ PRESTG80 RS OCCUPATIONAL PRESTIGE SCORE (1980) 3. Respondent's occupation, prestige, and industry VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/424-425 ________________________________________________________________________ INDUS80 RS INDUSTRY CODE (1980) 3. Respondent's occupation, prestige, and industry VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/426-428 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 143 MARITAL MARITAL STATUS 4. 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: 1/429 ________________________________________________________________________ AGEWED AGE WHEN FIRST MARRIED 4a. 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: 1/430-431 ________________________________________________________________________ DIVORCE EVER BEEN DIVORCED OR SEPARATED 4b. 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: 1/432 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 144 WIDOWED EVER BEEN WIDOWED 4c. 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: 1/433 ________________________________________________________________________ SPWRKSTA SPOUSE LABOR FORCE STATUS 5. 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: 1/434 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 145 SPHRS1 NUMBER OF HRS SPOUSE WORKED LAST WEEK 5a. 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: 1/435-436 ________________________________________________________________________ SPHRS2 NO. OF HRS SPOUSE USUALLY WORKS A WEEK 5b. 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: 1/437-438 ________________________________________________________________________ SPEVWORK SPOUSE EVER WORK AS LONG AS A YEAR 5c. 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: 1/439 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 146 SPOCC SPOUSE CENSUS OCCUPATION CODE (1970) 6a. What kind of work (does/did) your [SPOUSE] normally do? That is, what (is/was) (his/her) job called? b. What (does/did) [SPOUSE] actually do in that job? Tell me, what (are/were) some of (his/her) main duties? VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/440-442 ________________________________________________________________________ SPPRES SPOUSES OCCUPATIONAL PRESTIGE SCORE (1970) 6a. What kind of work (does/did) your [SPOUSE] normally do? That is, what (is/was) (his/her) job called? b. What (does/did) [SPOUSE] actually do in that job? Tell me, what (are/were) some of (his/her) main duties? VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/443-444 ________________________________________________________________________ SPWRKSLF SPOUSE SELF-EMP. OR WORKS FOR SOMEBODY 6e. (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: 1/445 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 147 SPIND SPOUSES INDUSTRY CODE (1970) 6c. What kind of place (does/did) [SPOUSE] work for? d. What (do/did) they (make/do)? VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/446-448 ________________________________________________________________________ SPOCC80 SPOUSE CENSUS OCCUPATION CODE (1980) 7. Spouse's occupation, prestige, and industry. VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/449-451 ________________________________________________________________________ SPPRES80 SPOUSES OCCUPATIONAL PRESTIGE SCORE (1980) 7. Spouse's occupation, prestige, and industry. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/452-453 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 148 SPIND80 SPOUSES INDUSTRY CODE (1980) 7. Spouse's occupation, prestige, and industry. VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/454-456 ________________________________________________________________________ PAOCC16 FATHERS CENSUS OCCUPATION CODE (1970) 8a. What kind of work did your father [FATHER SUBSTITUTE] normally do while you were growing up? That is, what was his job called? b. What did he actually do in that job? Tell me, what were some of his main duties? VALUE LABEL 0 NAP 990 NA 998 DK Data type: numeric Missing-data codes: 0,990-999 Record/columns: 1/457-459 ________________________________________________________________________ PAPRES16 FATHERS OCCUPATIONAL PRESTIGE SCORE (1970) 8a. What kind of work did your father [FATHER SUBSTITUTE] normally do while you were growing up? That is, what was his job called? b. What did he actually do in that job? Tell me, what were some of his main duties? VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/460-461 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 149 PAWRKSLF FATHER SELF-EMP. OR WORKED FOR SOMEBODY 8e. 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: 1/462 ________________________________________________________________________ PAIND16 FATHERS INDUSTRY CODE (1970) 8c. What kind of place did he work for? d. What did they (make/do)? VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data code: 0 Record/columns: 1/463-465 ________________________________________________________________________ PAOCC80 FATHERS CENSUS OCCUPATION CODE (1980) 9. Father's occupation, prestige, and industry. VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/466-468 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 150 PAPRES80 FATHERS OCCUPATIONAL PRESTIGE SCORE (1980) 9. Father's occupation, prestige, and industry. VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/469-470 ________________________________________________________________________ PAIND80 FATHERS INDUSTRY CODE (1980) 9. Father's occupation, prestige, and industry. VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/471-473 ________________________________________________________________________ MAOCC80 MOTHERS CENSUS OCCUPATION CODE (1980) 10a. What kind of work did your [mother/MOTHER SUBSTITUTE] usually do while you were growing up? That is, what was her job called? b. What did she actually do?/What were some of her main duties? VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/474-476 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 151 MAPRES80 MOTHERS OCCUPATIONAL PRESTIGE SCORE (1980) 10a. What kind of work did your [mother/MOTHER SUBSTITUTE] usually do while you were growing up? That is, what was her job called? b. What did she actually do?/What were some of her main duties? VALUE LABEL 0 DK,NA,NAP Data type: numeric Missing-data code: 0 Record/columns: 1/477-478 ________________________________________________________________________ MAWRKSLF MOTHER SELF-EMP. OR WORKED FOR SOMEBODY 10e. Was she self-employed, or did 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: 1/479 ________________________________________________________________________ MAIND80 MOTHERS INDUSTRY CODE (1980) 10c. What kind of place did she work for? d. What did they (make/do)? VALUE LABEL 0 NAP 990 NA 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/480-482 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 152 SIBS NUMBER OF BROTHERS AND SISTERS 11. 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 -1 NAP 98 DK 99 NA Data type: numeric Missing-data codes: -1,98,99 Record/columns: 1/483-484 ________________________________________________________________________ CHILDS NUMBER OF CHILDREN 12. 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 DK NA Data type: numeric Missing-data code: 9 Record/column: 1/485 ________________________________________________________________________ AGEKDBRN RS AGE WHEN 1ST CHILD BORN 14. 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: 1/486-487 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 153 RES16 TYPE OF PLACE LIVED IN WHEN 16 YRS OLD 25. 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 0 NAP 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: 0,8,9 Record/column: 1/488 ________________________________________________________________________ REG16 REGION OF RESIDENCE, AGE 16 26. In what state or 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: 1/489 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 154 MOBILE16 GEOGRAPHIC MOBILITY SINCE AGE 16 26a. When you were 16 years old, were you living int his same (city/town/county)? VALUE LABEL 0 NAP 1 SAME CITY 2 SAME ST,DIF CITY 3 DIFFERENT STATE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/490 ________________________________________________________________________ FAMILY16 LIVING WITH PARENTS WHEN 16 YRS OLD 27. Were you living with both your own mother and father areound the time you were 16? IF NO: With whom were you living around that time? VALUE LABEL -1 NAP 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 codes: -1,9 Record/columns: 1/491-492 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 155 FAMDIF16 REASON NOT LIVING WITH PARENTS 27a. 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: 1/493 ________________________________________________________________________ MAWORK MOTHERS EMPLOYMENT SINCE MARRIAGE 28. 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: 1/494 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 156 MAWKBABY MOTHERS EMPLOYMENT BEFORE FIRST GRADE 28a. 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: 1/495 ________________________________________________________________________ MAWKBORN MOTHERS EMPLOYMENT AFTER R WAS BORN 28b. 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: 1/496 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 157 MAWK16 MOTHERS EMPLOYMENT WHEN R GROWING UP 28c. 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: 1/497 ________________________________________________________________________ MAWRKGRW MOTHERS EMPLOYMENT WHEN R WAS 16 29. 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: 1/498 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 158 INCOM16 RS FAMILY INCOME WHEN 16 YRS OLD 30. 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? 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/columns: 1/499-500 ________________________________________________________________________ BORN WAS R BORN IN THIS COUNTRY 31. 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: 1/501 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 159 PARBORN WERE RS PARENTS BORN IN THIS COUNTRY 32. Were both your parents born in this country? 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/columns: 1/502-503 ________________________________________________________________________ GRANBORN HOW MANY GRANDPARENTS BORN OUTSIDE U.S. 33. Were all of your four grandparents born in this country? a. 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/columns: 1/504-505 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 160 HOMPOP NUMBER OF PERSONS IN HOUSEHOLD 34. Household size and composition. VALUE LABEL 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/506-507 ________________________________________________________________________ BABIES HOUSEHOLD MEMBERS LESS THAN 6 YRS OLD 34a. Number of members under 6 years of age. VALUE LABEL 8 8 OR MORE 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/508 ________________________________________________________________________ PRETEEN HOUSEHOLD MEMBERS 6 THRU 12 YRS OLD 34b. Number of members 6 to 12 years. VALUE LABEL 8 8 OR MORE 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/509 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 161 TEENS HOUSEHOLD MEMBERS 13 THRU 17 YRS OLD 34c. Number of members 13 to 17 years old. VALUE LABEL 8 8 OR MORE 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/510 ________________________________________________________________________ ADULTS HOUSEHOLD MEMBERS 18 YRS AND OLDER 34d. Number of members over 17 years old. VALUE LABEL 8 8 OR MORE 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/511 ________________________________________________________________________ UNRELAT NUMBER IN HOUSEHOLD NOT RELATED 35. Is everyone in the household related to you in some way? a. 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/columns: 1/512-513 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 162 EARNRS HOW MANY IN FAMILY EARNED MONEY 36. Just thinking about your family now -- those people in the househol who are related to you -- how many persons in the family, including yourself, earned any money last year from any job or employment? VALUE LABEL 8 EIGHT OR MORE 9 NA Data type: numeric Missing-data code: 9 Record/column: 1/514 ________________________________________________________________________ INCOME TOTAL FAMILY INCOME 37. In which of these groups did your total family income, from all sources, fall last year before taxes, that is? 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: 1/515-516 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 163 RINCOME RESPONDENTS INCOME 38. Did you earn any income from [OCCUPATION DESCRIBED IN Q2] last year? a. If yes: In which of these groups did your earnings from [OCCUPATION IN Q2] for last year fall? That is, before taxes or other deductions. 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: 1/517-518 ________________________________________________________________________ CONINC FAMILY INCOME IN CONSTANT DOLLARS 1657. Inflation-adjusted family income. VALUE LABEL 0 NAP 999998 DONT KNOW 999999 NA Data type: numeric Missing-data codes: 0,999999,999998 Record/columns: 1/519-524 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 164 CONRINC RESPONDENT INCOME IN CONSTANT DOLLARS 1658. Inflation-adjusted personal income. VALUE LABEL 0 NAP 999998 DONT KNOW 999999 NA Data type: numeric Missing-data codes: 0,999999,999998 Record/columns: 1/525-530 ________________________________________________________________________ INCOME72 TOTAL FAMILY INCOME 39. In which of these groups did your total family income, from all sources, fall last year, 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: 1/531-532 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 165 INCOME77 TOTAL FAMILY INCOME 40. Family income on 1977-1980 surveys 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: 1/533-534 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 166 RINCOM77 RESPONDENTS INCOME 41. Respondent's income on 1977/78/80 surveys. 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: 1/535-536 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 167 INCOME82 TOTAL FAMILY INCOME 42. Family income on 1982/85 surveys. 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: 1/537-538 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 168 RINCOM82 RESPONDENTS INCOME 43. Respondent's income on 1982-85 surveys. 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: 1/539-540 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 169 INCOME86 TOTAL FAMILY INCOME 44. Family income on 1986-90 surveys. 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: 1/541-542 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 170 RINCOM86 RESPONDENTS INCOME 45. Respondent's income on 1986-90 surveys. 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: 1/543-544 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 171 INCOME91 TOTAL FAMILY INCOME 46. Family income on teh 1991-96 surveys. 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: 1/545-546 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 172 RINCOM91 RESPONDENTS INCOME 47. Respondent's income on the 1991-96 surveys. 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: 1/547-548 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 173 INCOME98 TOTAL FAMILY INCOME 48. Family income on the 1998, 2000, and 2002 surveys. 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: 1/549-550 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 174 RINCOM98 RESPONDENTS INCOME 49. Respondent's income on the 1998, 2000, and 2002 surveys. 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: 1/551-552 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 175 INCOME06 TOTAL FAMILY INCOME 50. In which of these groups did your total family income, from all soruces, fall last year -- 2005 -- before taxes, that is? 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 TO $109999 23 $110000 TO $129999 24 $130000 TO $149999 25 $150000 OR OVER 26 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/553-554 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 176 RINCOM06 RESPONDENTS INCOME 51. In which of these groups did your earnings from [OCCUPATION IN Q2], from all sources for 2005 fall? That is, before taxes or other deductions. 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 TO $109999 23 $110000 TO $129999 24 $130000 TO $149999 25 $150000 OR OVER 26 REFUSED 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/555-556 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 177 WEEKSWRK WEEKS R. WORKED LAST YEAR 175. Now I'd like to ask you about last year. 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: 1/557-558 ________________________________________________________________________ PARTFULL WAS RS WORK PART-TIME OR FULL-TIME? 175a. When you worked last year, 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: 1/559 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 178 REGION REGION OF INTERVIEW 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: 1/560 ________________________________________________________________________ XNORCSIZ EXPANDED N.O.R.C. SIZE CODE 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: 1/561-562 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 179 SRCBELT SRC BELTCODE VALUE LABEL 0 NOT ASSIGNED 1 12 LRGST SMSA'S 2 SMSA'S 13-100 3 SUBURB, 12 LRGST 4 SUBURB, 13-100 5 OTHER URBAN 6 OTHER RURAL Data type: numeric Missing-data code: 0 Record/column: 1/563 ________________________________________________________________________ SIZE SIZE OF PLACE IN 1000S VALUE LABEL -1 NOT ASSIGNED Data type: numeric Missing-data code: -1 Record/columns: 1/564-567 ________________________________________________________________________ DOTDATA D.O.T. CODE - RELATION TO DATA Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/568-572 ________________________________________________________________________ DOTPEOP D.O.T. CODE - RELATION TO PEOPLE Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/573-577 ________________________________________________________________________ DOTTHNG D.O.T. CODE - RELATION TO THINGS Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/578-582 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 180 DOTGED D.O.T. CODE - GENERAL EDUC DEVELOP. Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/583-587 ________________________________________________________________________ DOTSVP D.O.T. CODE - SPECIFIC VOCAT. PREP Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/588-592 ________________________________________________________________________ DOTPRES TEMME PRESTIGE SCALE Data type: numeric Decimals: 1 Missing-data code: -1.0 Record/columns: 1/593-596 ________________________________________________________________________ SPDOTDAT SP. D.O.T. CODE - RELATION TO DATA Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/597-601 ________________________________________________________________________ SPDOTPEO SP. D.O.T. CODE - RELATION TO PEOPLE Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/602-606 ________________________________________________________________________ SPDOTTHN SP. D.O.T. CODE - RELATION TO THINGS Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/607-611 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 181 SPDOTGED SP. D.O.T. CODE - GENERAL EDUC DEVELOP. Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/612-616 ________________________________________________________________________ SPDOTSVP SP. D.O.T. CODE - SPECIFIC VOCAT. PREP Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/617-621 ________________________________________________________________________ SPDOTPRE SP. TEMME PRESTIGE SCALE Data type: numeric Decimals: 1 Missing-data code: -1.0 Record/columns: 1/622-625 ________________________________________________________________________ PADOTDAT FA. D.O.T. CODE - RELATION TO DATA Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/626-630 ________________________________________________________________________ PADOTPEO FA. D.O.T. CODE - RELATION TO PEOPLE Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/631-635 ________________________________________________________________________ PADOTTHN FA. D.O.T. CODE - RELATION TO THINGS Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/636-640 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 182 PADOTGED FA. D.O.T. CODE - GENERAL EDUC DEVELOP. Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/641-645 ________________________________________________________________________ PADOTSVP FA. D.O.T. CODE - SPECIFIC VOCAT. PREP Data type: numeric Decimals: 2 Missing-data code: -1.00 Record/columns: 1/646-650 ________________________________________________________________________ PADOTPRE FA. TEMME PRESTIGE SCALE Data type: numeric Decimals: 1 Missing-data code: -1.0 Record/columns: 1/651-654 ________________________________________________________________________ PARTYID POLITICAL PARTY AFFILIATION 56. 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: 1/655 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 183 VOTE68 DID R VOTE IN 1968 ELECTION 57. Now in 1968, you remember that Humphrey ran for President on the Democratic ticket against Nixon for the Republicans, and Wallace 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: 1/656 ________________________________________________________________________ PRES68 VOTE FOR HUMPHREY, NIXON, OR WALLACE 57a. 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: 1/657 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 184 IF68WHO WHO WOULD R HAVE VOTED FOR-1968 ELECTION 57b. 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: 1/658 ________________________________________________________________________ VOTE72 DID R VOTE IN 1972 ELECTION 58. 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: 1/659 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 185 PRES72 VOTE FOR MCGOVERN OR NIXON 58a. 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: 1/660 ________________________________________________________________________ IF72WHO WHO WOULD R HAVE VOTED FOR-1972 ELECTION 58b. 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: 1/661 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 186 VOTE76 DID R VOTE IN 1976 ELECTION 59. In 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: 1/662 ________________________________________________________________________ PRES76 VOTE FOR CARTER OR FORD 59a. 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: 1/663 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 187 IF76WHO WHO WOULD R HAVE VOTED FOR-1976 ELECTION 59b. 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: 1/664 ________________________________________________________________________ VOTE80 DID R VOTE IN 1980 ELECTION 60. 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: 1/665 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 188 PRES80 VOTE FOR CARTER, REAGAN OR ANDERSON 60a. 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: 1/666 ________________________________________________________________________ IF80WHO WHO WOULD R HAVE VOTED FOR-1980 ELECTION 60b. 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: 1/667 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 189 VOTE84 DID R VOTE IN 1984 ELECTION 61. 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: 1/668 ________________________________________________________________________ PRES84 VOTE FOR REAGAN OR MONDALE 61a. 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: 1/669 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 190 IF84WHO WHO WOULD R HAVE VOTED FOR-1984 ELECTION 61b. If did not vote or ineligible: Who would you have voted for, for President, if you have 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: 1/670 ________________________________________________________________________ VOTE88 DID R VOTE IN 1988 ELECTION 62. 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: 1/671 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 191 PRES88 VOTE FOR DUKAKIS OR BUSH 62a. 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: 1/672 ________________________________________________________________________ IF88WHO WHO WOULD R HAVE VOTED FOR-1988 ELECTION 62b. 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: 1/673 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 192 VOTE92 DID R VOTE IN 1992 ELECTION 63. 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: 1/674 ________________________________________________________________________ PRES92 VOTE FOR CLINTON, BUSH, PEROT 63a. 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: 1/675 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 193 IF92WHO WHO WOULD R HAVE VOTED FOR-1992 ELECTION 63b. 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 BUSH 3 PEROT 4 OTHER 5 WOULDNT VOTE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/676 ________________________________________________________________________ VOTE96 DID R VOTE IN 1996 ELECTION 64. 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: 1/677 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 194 PRES96 VOTE FOR CLINTON, DOLE, PEROT 64a. If voted: Did you vote for Clinton, Bush, or 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: 1/678 ________________________________________________________________________ IF96WHO WHO WOULD R HAVE VOTED FOR-1996 ELECTION 64b. 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: 1/679 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 195 VOTE00 DID R VOTE IN 2000 ELECTION 65. In 2000, you remember that Gore 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 INELIGIBLE 4 REFUSED TO ANSWER 8 DONT KNOW/REMEMBER 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/680 ________________________________________________________________________ PRES00 VOTE FOR GORE, BUSH, NADER 65a. If voted: Did you vote for Gore or Bush? VALUE LABEL 0 NAP 1 GORE 2 BUSH 3 NADER 4 OTHER (SPECIFY) 6 DIDNT VOTE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/681 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 196 IF00WHO WHO WOULD R HAS VOTED FOR IN 2000 ELECTION 65b. If did not vote or ineligible: Who would you have voted for, for President, if you had voted? VALUE LABEL 0 NAP 1 GORE 2 BUSH 3 NADER 4 OTHER 8 DONT KNOW/REMEMBER 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/682 ________________________________________________________________________ VOTE04 DID R VOTE IN 2004 ELECTION 66. In 2004, you remember that Kerry 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 INELIGIBLE 4 REFUSED TO ANSWER 8 DONT KNOW/REMEMBER 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/683 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 197 PRES04 VOTE FOR KERRY, BUSH, NADER 66a. If voted: Did you vote for Kerry or Bush? VALUE LABEL 0 NAP 1 KERRY 2 BUSH 3 NADER 4 OTHER (SPECIFY) 6 DIDNT VOTE 8 DONT KNOW 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/684 ________________________________________________________________________ IF04WHO WHO WOULD R HAS VOTED FOR IN 2004 ELECTION 66b. If did not vote or ineligible: Who would you have voted for, for President, if you had voted? VALUE LABEL 0 NAP 1 KERRY 2 BUSH 3 NADER 4 OTHER 8 DONT KNOW/REMEMBER 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/685 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 198 POLVIEWS THINK OF SELF AS LIBERAL OR CONSERVATIVE 67a. 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: 1/686 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 199 POLVIEWY LIBERAL OR CONSERVATIVE-VERSION Y 67b. 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/columns: 1/687-688 ________________________________________________________________________ POLVIEWX LIBERAL OR CONSERVATIVE-VERSION X 67c. In political 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: 1/689-690 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 200 NATSPAC SPACE EXPLORATION PROGRAM 68. 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. a. 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: 1/691 ________________________________________________________________________ NATENVIR IMPROVING PROTECTING ENVIRONMENT 68. 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. b. 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: 1/692 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 201 NATHEAL IMPROVING PROTECTING NATIONS HEALTH 68. 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. c. 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: 1/693 ________________________________________________________________________ NATCITY SOLVING PROBLEMS OF BIG CITIES 68. 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. d. 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: 1/694 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 202 NATCRIME HALTING RISING CRIME RATE 68. 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. e. 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: 1/695 ________________________________________________________________________ NATDRUG DEALING WITH DRUG ADDICTION 68. 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. f. 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: 1/696 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 203 NATEDUC IMPROVING NATIONS EDUCATION SYSTEM 68. 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. g. 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: 1/697 ________________________________________________________________________ NATRACE IMPROVING THE CONDITIONS OF BLACKS 68. 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. h. 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: 1/698 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 204 NATARMS MILITARY, ARMAMENTS, AND DEFENSE 68. 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. i. 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: 1/699 ________________________________________________________________________ NATAID FOREIGN AID 68. 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. j. 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: 1/700 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 205 NATFARE WELFARE 68. 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. k. 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: 1/701 ________________________________________________________________________ NATROAD HIGHWAYS AND BRIDGES 68. 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. l. 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: 1/702 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 206 NATSOC SOCIAL SECURITY 68. 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. m. 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: 1/703 ________________________________________________________________________ NATMASS MASS TRANSPORTATION 68. 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. n. 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: 1/704 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 207 NATPARK PARKS AND RECREATION 68. 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. o. 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: 1/705 ________________________________________________________________________ NATCHLD ASSISTANCE FOR CHILDCARE 68. 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. p. Assistance for childcare. 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: 1/706 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 208 NATSCI SUPPORTING SCIENTIFIC RESEARCH 68. 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. q. Supporting scientific research. 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: 1/707 ________________________________________________________________________ NATSPACY SPACE EXPLORATION -- VERSION Y 69. 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. a. 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: 1/708 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 209 NATENVIY THE ENVIRONMENT -- VERSION Y 69. 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. b. 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: 1/709 ________________________________________________________________________ NATHEALY HEALTH -- VERSION Y 69. 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. c. 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: 1/710 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 210 NATCITYY ASSISTANCE TO BIG CITIES -- VERSION Y 69. 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. d. Assistance 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: 1/711 ________________________________________________________________________ NATCRIMY LAW ENFORCEMENT -- VERISON Y 69. 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. e. 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: 1/712 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 211 NATDRUGY DRUG REHABILITATION -- VERSION Y 69. 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. f. 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: 1/713 ________________________________________________________________________ NATEDUCY EDUCATION -- VERSION Y 69. 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. g. 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: 1/714 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 212 NATRACEY ASSISTANCE TO BLACKS -- VERSION Y 69. 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. h. 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: 1/715 ________________________________________________________________________ NATARMSY NATIONAL DEFENSE -- VERSION Y 69. 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. i. 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: 1/716 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 213 NATAIDY ASSISTANCE TO OTHER COUNTRIES -- VER Y 69. 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. j. 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: 1/717 ________________________________________________________________________ NATFAREY ASSISTANCE TO THE POOR -- VERSION Y 69. 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. k. 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: 1/718 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 214 NATSPACZ SPACE EXPLORATION -- VERSION Z 70. 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. a. 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: 1/719 ________________________________________________________________________ NATENVIZ IMPROVING THE ENVIRONMENT -- VERSION Z 70. 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. b. 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: 1/720 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 215 NATHEALZ IMPROVING HEALTH -- VERSION Z 70. 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. c. 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: 1/721 ________________________________________________________________________ NATCITYZ SOLVING PROBLEMS OF BIG CITIES -- VER Z 70. 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. d. 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: 1/722 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 216 NATCRIMZ REDUCING CRIME -- VERISON Z 70. 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. e. 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: 1/723 ________________________________________________________________________ NATDRUGZ REDUCING DRUG ADDICTION -- VERSION Z 70. 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. f. 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: 1/724 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 217 NATEDUCZ IMPROVING THE EDUCATION SYSTEM -- VER Z 70. 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. g. 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: 1/725 ________________________________________________________________________ NATRACEZ IMPROVING CONDITIONS OF BLACKS -- VER Z 70. 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. h. 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: 1/726 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 218 NATARMSZ STRENGTHENING NATIONAL DEFENSE -- VER Z 70. 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. l. Strengthening 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: 1/727 ________________________________________________________________________ NATAIDZ HELPING OTHER COUNTRIES -- VERSION Z 70. 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. j. 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: 1/728 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 219 NATFAREZ CARING FOR THE POOR -- VERSION Z 70. 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. k. 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: 1/729 ________________________________________________________________________ NATROADZ IMPROVING HIGHWAYS AND BRIDGES -- VER Z 70. 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. l. Improving the condition 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: 1/730 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 220 NATSOCZ PROTECTING SOCIAL SECURITY -- VERSION Z 70. 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. m. 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: 1/731 ________________________________________________________________________ NATMASSZ IMPROVING MASS TRANSIT -- VERSION Z 70. 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. n. Improving 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: 1/732 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 221 NATPARKZ IMPROVING PARKS AND RECREATION -- VER Z 70. 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. o. 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: 1/733 ________________________________________________________________________ EQUAL1 EVERYONE SHOULD LOOK OUT FOR SELF 71. 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. a. 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: 1/734 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 222 EQUAL2 BUSINESS PROFITS BENEFIT ALL 71. 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. b. 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: 1/735 ________________________________________________________________________ EQUAL3 GOVT SHLD INSURE JOBS AND STABLE PRICES 71. 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. c. 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: 1/736 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 223 EQUAL4 RESPONSIBILITY OF GOVT TO MEET NEEDS 71. 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. d. It is the responsibility of government to meet everyone's needs, even in teh 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: 1/737 ________________________________________________________________________ EQUAL5 SOCIAL WELFARE BENEFITS ARE DISINCENTIVE 71. 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. e. 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: 1/738 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 224 EQUAL6 ONE IS ABLE TO LIVE WELL IN AMERICA 71. 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. f. 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: 1/739 ________________________________________________________________________ EQUAL7 BUSINESS PROFITS ARE DISTRIBUTED FAIRLY 71. 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. g. 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: 1/740 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 225 EQUAL8 SOCIAL STANDING DUE TO ABILITY 71. 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. h. 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: 1/741 ________________________________________________________________________ USCLASS1 TRADITIONAL CLASS DIVISIONS STILL REMAIN 72. 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. 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: 1/742 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 226 USCLASS2 ACHIEVEMENT DEPENDS ON FAMILY BACKGROUND 72. 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. b. 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: 1/743 ________________________________________________________________________ USCLASS3 ACHIEVEMENT DEPENDS ON EDUC AND ABILITY 72. 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. c. America has an open society. What one achieves in life no longer depends on one's family bakcground, 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: 1/744 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 227 USCLASS4 ONES OWN EFFORTS DONT COUNT 72. 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. d. What one gets in life hardly depends at all on one's own efforts, but rather on teh 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: 1/745 ________________________________________________________________________ USCLASS5 PERSONAL INCOME NOT DETERMINED BY WORK 72. 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. e. Personal income shousl 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: 1/746 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 228 USCLASS6 DIFFERENCES IN CLASS ARE AN INCENTIVE 72. 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. f. Only if differences in income and social standing are large enough is there 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: 1/747 ________________________________________________________________________ USCLASS7 DIFFERENCES IN CLASS REFLECT OWN EFFORT 72. 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. g. 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: 1/748 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 229 USCLASS8 SOCIAL DIFFERENCES ARE ACCEPTABLE 72. 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. h. 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: 1/749 ________________________________________________________________________ EDUCOP EQUAL OPPORTUNITY TO OBTAIN EDUCATION? 73a. 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: 1/750 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 230 GOVCARE GOVT CONCERN FOR SOCIAL WELFARE 73b. 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 opinions. With which opinion do you agree the most? 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: 1/751 ________________________________________________________________________ EQWLTH SHOULD GOVT REDUCE INCOME DIFFERENCES 74a. 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: 1/752 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 231 EQWLTHY GOVT REDUCE INCOME DIFFERENCES-VERSION Y 74b. 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: 1/753 ________________________________________________________________________ TAX RS FEDERAL INCOME TAX 75. 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 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/754 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 232 SPKATH ALLOW ANTI-RELIGIONIST TO SPEAK 76. There are always some people whose ideas are considered bad or dangerous by other people. For instance, somebody who is against churches and religion... a. 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: 1/755 ________________________________________________________________________ COLATH ALLOW ANTI-RELIGIONIST TO TEACH 76. There are always some people whose ideas are considered bad or dangerous by other people. For instance, somebody who is against churches and religion... b. 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: 1/756 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 233 LIBATH ALLOW ANTI-RELIGIOUS BOOK IN LIBRARY 76. There are always some people whose ideas are considered bad or dangerous by other people. For instance, somebody who is against churches and religion... c. If some people in your community suggested 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: 1/757 ________________________________________________________________________ SPKSOC ALLOW SOCIALIST TO SPEAK 77. Or consider a person who favored government ownership of all the railroads and all big industries: a. 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: 1/758 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 234 COLSOC ALLOW SOCIALIST TO TEACH 77. Or consider a person who favored government ownership of all the railroads and all big industries: b. 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: 1/759 ________________________________________________________________________ LIBSOC ALLOW SOCIALISTS BOOK IN LIBRARY 77. Or consider a person who favored government ownership of all the railroads and all big industries: c. 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: 1/760 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 235 SPKRAC ALLOW RACIST TO SPEAK 78. Or consider a person who believes that Blacks are genetically inferior. a. 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 ALLOWED 2 NOT ALLOWED 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/761 ________________________________________________________________________ COLRAC ALLOW RACIST TO TEACH 78. Or consider a person who believes that Blacks are genetically inferior. b. 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: 1/762 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 236 LIBRAC ALLOW RACISTS BOOK IN LIBRARY 78. Or consider a person who believes that Blacks are genetically inferior. c. If some people in your community suggested that a book he wrote which said 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: 1/763 ________________________________________________________________________ SPKCOM ALLOW COMMUNIST TO SPEAK 79. Now, I should like to ask you some questions about a man who admits he is a Communist: a. 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: 1/764 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 237 COLCOM SHOULD COMMUNIST TEACHER BE FIRED 79. Now, I should like to ask you some questions about a man who admits he is a Communist: b. 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: 1/765 ________________________________________________________________________ LIBCOM ALLOW COMMUNISTS BOOK IN LIBRARY 79. Now, I should like to ask you some questions about a man who admits he is a Communist: c. 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: 1/766 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 238 SPKMIL ALLOW MILITARIST TO SPEAK 80. Consider a person who advocates doing away with elections and letting the military run the country. a. 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: 1/767 ________________________________________________________________________ COLMIL ALLOW MILITARIST TO TEACH 80. Consider a person who advocates doing away with elections and letting the military run the country. b. 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: 1/768 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 239 LIBMIL ALLOW MILITARISTS BOOK IN LIBRARY 80. Consider a person who advocates doing away with elections and letting the military run the country. c. 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 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: 1/769 ________________________________________________________________________ SPKHOMO ALLOW HOMOSEXUAL TO SPEAK 81. And what about a man who admits that he is a homosexual? a. 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: 1/770 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 240 COLHOMO ALLOW HOMOSEXUAL TO TEACH 81. And what about a man who admits that he is a homosexual? b. 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: 1/771 ________________________________________________________________________ LIBHOMO ALLOW HOMOSEXUALS BOOK IN LIBRARY 81. And what about a man who admits that he is a homosexual? c. 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: 1/772 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 241 CAPPUN2 DOES R FAVOR CAPITAL PUNISHMENT 82a. 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: 1/773 ________________________________________________________________________ CAPPUN FAVOR OR OPPOSE DEATH PENALTY FOR MURDER 82b. Do you favor or oppose the death enalty 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: 1/774 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 242 CAPIMP IMPORTANCE OF DEATH PENALTY ISSUE TO R 83. How important is the death penalty issue to you? 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: 1/775 ________________________________________________________________________ CAPINFO HOW MUCH INFO R HAS ON DEATH PENALTY 84. 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: 1/776 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 243 CAPFIRM HOW FIRM IS RS OPINION OF DEATH PENALTY 85. How firm are you about your opinion on the death penalty? 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 ________________________________________________________________________ GUNLAW FAVOR OR OPPOSE GUN PERMITS 86. 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: 1/778 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 244 GUNIMP IMPORTANCE OF GUN CONTROL ISSUE TO R 87. How important is the gun control issue to you? 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: 1/779 ________________________________________________________________________ GUNINFO HOW MUCH INFO DOES R HAVE ON GUN CONTROL 88. How much information do you have about the gun control issue? 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: 1/780 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 245 GUNFIRM HOW FIRM IS RS OPINION ON GUN CONTROL 89. How firm are you about your opinion on gun control? 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: 1/781 ________________________________________________________________________ COURTS COURTS DEALING WITH CRIMINALS 90. 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: 1/782 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 246 COURTSY COURTS DEALING WITH CRIMINALS-VERSION Y 91. 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: 1/783 ________________________________________________________________________ CRIMIMP IMPORTANCE OF CRIME ISSUE TO R 92a. How important is the crime issue to you? 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: 1/784 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 247 CRIMINFO HOW MUCH INFO DOES R HAVE ON CRIME ISSUE 92b. How much information do you have about the crime issue? 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: 1/785 ________________________________________________________________________ CRIMFIRM HOW FIRM IS RS OPINION ON CRIME ISSUE 92c. How firm are you about your opinion on crime? 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: 1/786 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 248 LAWIMP IMPORTANCE OF LAW ENFORCEMENT ISSUE TO R 93a. How important is the law enforcement issue to you? 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: 1/787 ________________________________________________________________________ LAWINFO HOW MUCH INFO DOES R HAVE ON LAW ISSUE 93b. How much information do you have about the law enforcement issue? 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: 1/788 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 249 LAWFIRM HOW FIRM IS RS OPINION ON LAW ISSUE 93c. How firm are you about your opinion on law enforcement? 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: 1/789 ________________________________________________________________________ WIRTAP WIRETAPPING 94. 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: 1/790 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 250 GRASS SHOULD MARIJUANA BE MADE LEGAL 95. 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: 1/791 ________________________________________________________________________ GRASSY SHOULD MARIJUANA BE LEGAL-VERSION Y 96. 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: 1/792 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 251 USWAR EXPECT U.S. IN WAR WITHIN 10 YEARS 97. 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: 1/793 ________________________________________________________________________ USWARY EXPECT U.S. IN WORLD WAR IN 10 YEARS 98. 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: 1/794 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 252 USINTL TAKE ACTIVE PART IN WORLD AFFAIRS 99. 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: 1/795 ________________________________________________________________________ USUN REMAIN IN U.N. OR PULL OUT 100. 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: 1/796 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 253 COMMUN FEELINGS ABOUT COMMUNISM 101. Thinking about all the different kinds of governments in the world today, which of these statements comes closes to how you feel about Communism as a form of government? 1. It's the worst kind of all. 2. It's bad, but no worse than some others. 3. It's all right for some countries. 4. It's a good 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: 1/797 ________________________________________________________________________ COMMUN10 FEELINGS ABOUT COMMUNISM 10 YRS AGO 102. 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? 1. It's the worst kind of all. 2. It's bad, but no worse than some others. 3. It's all right for some countries. 4. It's a good 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: 1/798 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 254 RUSSIA LIKING FOR RUSSIA 103. You will notice that the boxes on this card go from the highest position 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? a. 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/columns: 1/799-800 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 255 JAPAN LIKING FOR JAPAN 103. You will notice that the boxes on this card go from the highest position 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? 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/columns: 1/801-802 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 256 ENGLAND LIKING FOR ENGLAND 103. You will notice that the boxes on this card go from the highest position 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? 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/columns: 1/803-804 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 257 CANADA LIKING FOR CANADA 103. You will notice that the boxes on this card go from the highest position 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? 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/columns: 1/805-806 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 258 BRAZIL LIKING FOR BRAZIL 103. You will notice that the boxes on this card go from the highest position 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? 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/columns: 1/807-808 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 259 CHINA LIKING FOR CHINA 103. You will notice that the boxes on this card go from the highest position 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? 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/columns: 1/809-810 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 260 ISRAEL LIKING FOR ISRAEL 103. You will notice that the boxes on this card go from the highest position 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? 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/columns: 1/811-812 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 261 EGYPT LIKING FOR EGYPT 103. You will notice that the boxes on this card go from the highest position 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? 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/columns: 1/813-814 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 262 RELIG RS RELIGIOUS PREFERENCE 104. What is your religous 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: 1/815-816 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 263 DENOM SPECIFIC DENOMINATION 104a. 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-SPECIFY 70 NO DENOMINATION 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/817-818 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 264 OTHER OTHER PROTESTANT DENOMINATIONS VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/819-821 ________________________________________________________________________ JEW WHAT SORT OF JEW R IS 104b. Do you consider yourself 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: 1/822 ________________________________________________________________________ FUND HOW FUNDAMENTALIST IS R CURRENTLY 104c. Fundamentalism/liberalism of respondent'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: 1/823 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 265 ATTEND HOW OFTEN R ATTENDS RELIGIOUS SERVICES 105. 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: 1/824 ________________________________________________________________________ MAATTEND HOW OFTEN MA ATTENDED RELIGIOUS SERVICES 106a. 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/columns: 1/825-826 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 266 PAATTEND HOW OFTEN PA ATTENDED RELIGIOUS SERVICES 106b. 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/columns: 1/827-828 ________________________________________________________________________ SPATTEND HOW OFTEN SP ATTENDS RELIGIOUS SERVICES 106c. 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/columns: 1/829-830 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 267 RELITEN STRENGTH OF AFFILIATION 107. Would you call yoruself a strong [RELIGIOUS PREFERENCE] or a not very strong [RELIGIOUS PREFERENCE]? 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: 1/831 ________________________________________________________________________ POSTLIFE BELIEF IN LIFE AFTER DEATH 108. Do you believe there 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: 1/832 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 268 POSTLF1 LIFE OF PEACE AND TRANQUILITY 108a. Of course, no one knows exactly what life after death would be like, but her are some ideas people have had. How likely do you feel each possibility is? 1. 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: 1/833 ________________________________________________________________________ POSTLF2 LIFE OF INTENSE ACTION 108a. Of course, no one knows exactly what life after death would be like, but her are some ideas people have had. How likely do you feel each possibility is? 2. 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: 1/834 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 269 POSTLF3 LIKE HERE ON EARTH ONLY BETTER 108a. Of course, no one knows exactly what life after death would be like, but her are some ideas people have had. How likely do you feel each possibility is? 3. A life liek 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: 1/835 ________________________________________________________________________ POSTLF4 LIFE WITHOUT MANY EARTHLY JOYS 108a. Of course, no one knows exactly what life after death would be like, but her are some ideas people have had. How likely do you feel each possibility is? 4. 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: 1/836 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 270 POSTLF5 PALE OR SHADOWY FORM OF LIFE 108a. Of course, no one knows exactly what life after death would be like, but her are some ideas people have had. How likely do you feel each possibility is? 5. 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: 1/837 ________________________________________________________________________ POSTLF6 A SPIRITUAL LIFE INVOLVING MIND NOT BODY 108a. Of course, no one knows exactly what life after death would be like, but her are some ideas people have had. How likely do you feel each possibility is? 6. 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: 1/838 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 271 POSTLF7 PARADISE OF PLEASURES AND DELIGHTS 108a. Of course, no one knows exactly what life after death would be like, but her are some ideas people have had. How likely do you feel each possibility is? 7. 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: 1/839 ________________________________________________________________________ POSTLF8 PLACE OF LOVING INTELLECTUAL COMMUNION 108a. Of course, no one knows exactly what life after death would be like, but her are some ideas people have had. How likely do you feel each possibility is? 8. 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: 1/840 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 272 POSTLF9 UNION WITH GOD 108a. Of course, no one knows exactly what life after death would be like, but her are some ideas people have had. How likely do you feel each possibility is? 9. 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: 1/841 ________________________________________________________________________ POSTLF10 REUNION WITH LOVED ONES 108a. Of course, no one knows exactly what life after death would be like, but her are some ideas people have had. How likely do you feel each possibility is? 10. 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: 1/842 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 273 LIKEDIFF AFTERLIFE CONTRAST: BETTER OR LACKING 109. 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. a. 1. A life like the one here on earth, only better. 7. A life without many of the 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: 1/843 ________________________________________________________________________ MINDBODY AFTERLIFE CONTRAST: SPIRITUAL OR SENSUAL 109. 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. b. 1. A spiritual life, involving our mind but not our body. 2. 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: 1/844 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 274 RESTACT AFTERLIFE CONTRAST: PEACEFUL OR ACTION 109. 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. c. 1. A life of peaceful and tranquil contemplation. 2. 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: 1/845 ________________________________________________________________________ PALEFULL AFTERLIFE CONTRAST: SHADOWS OR FULL 109. 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. d. 1. A pale, shadowy form of life, hardly life at all. 2. A life of compelte 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: 1/846 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 275 PRAY HOW OFTEN DOES R PRAY 110. 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: 1/847 ________________________________________________________________________ DEJAVU THOUGHT ONE WAS SOMEPLACE BEFORE 111. How often have you had any of the following experiences? a. 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: 1/848 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 276 ESP FELT IN TOUCH WITH SOMEONE FAR AWAY 111. How often have you had any of the following experiences? b. 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: 1/849 ________________________________________________________________________ VISIONS PERCEIVED EVENTS AT GREAT DISTANCE 111. How often have you had any of the following experiences? c. 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: 1/850 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 277 SPIRITS FELT IN TOUCH WITH DECEASED PERSON 111. How often have you had any of the following experiences? d. 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: 1/851 ________________________________________________________________________ GRACE HAD POWERFUL RELIGIOUS EXPERIENCE 111. How often have you had any of the following experiences? e. 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: 1/852 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 278 NEARGOD HOW CLOSE DOES R FEEL TO GOD 112. How close do you feel to God most of the time? 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: 1/853 ________________________________________________________________________ JUDGE IMAGE OF GOD AS JUDGE 113. When you think about God, how likely are each of these images to come to your mind? a. 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: 1/854 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 279 REDEEMER IMAGE OF GOD AS REDEEMER 113. When you think about God, how likely are each of these images to come to your mind? b. 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: 1/855 ________________________________________________________________________ LOVER IMAGE OF GOD AS LOVER 113. When you think about God, how likely are each of these images to come to your mind? c. 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: 1/856 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 280 MASTER IMAGE OF GOD AS MASTER 113. When you think about God, how likely are each of these images to come to your mind? d. 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: 1/857 ________________________________________________________________________ MOTHER IMAGE OF GOD AS MOTHER 113. When you think about God, how likely are each of these images to come to your mind? e. 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: 1/858 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 281 CREATOR IMAGE OF GOD AS CREATOR 113. When you think about God, how likely are each of these images to come to your mind? f. 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: 1/859 ________________________________________________________________________ FATHER IMAGE OF GOD AS FATHER 113. When you think about God, how likely are each of these images to come to your mind? g. 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: 1/860 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 282 SPOUSE IMAGE OF GOD AS SPOUSE 113. When you think about God, how likely are each of these images to come to your mind? h. 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: 1/861 ________________________________________________________________________ FRIEND IMAGE OF GOD AS FRIEND 113. When you think about God, how likely are each of these images to come to your mind? i. 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: 1/862 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 283 KING IMAGE OF GOD AS KING 113. When you think about God, how likely are each of these images to come to your mind? j. 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: 1/863 ________________________________________________________________________ LIBERATR IMAGE OF GOD AS LIBERATOR 113. When you think about God, how likely are each of these images to come to your mind? k. 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: 1/864 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 284 HEALER IMAGE OF GOD AS HEALER 113. When you think about God, how likely are each of these images to come to your mind? l. 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: 1/865 ________________________________________________________________________ MAPA CONTRAST BETWEEN MOTHER AND FATHER 114. 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 the two contrasting images? a. 1. Mother 7. Father VALUE LABEL 0 NAP 1 MOTHER 7 FATHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/866 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 285 MASTERSP CONTRAST BETWEEN MASTER AND SPOUSE 114. 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 the two contrasting images? b. 1. Master 7. Spouse VALUE LABEL 0 NAP 1 MASTER 7 SPOUSE 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/867 ________________________________________________________________________ JUDGELUV CONTRAST BETWEEN JUDGE AND LOVER 114. 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 the two contrasting images? c. 1. Judge 7. Lover VALUE LABEL 0 NAP 1 JUDGE 7 LOVER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/868 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 286 FRNDKING CONTRAST BETWEEN FRIEND AND KING 114. 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 the two contrasting images? d. 1. Friend 7. King VALUE LABEL 0 NAP 1 FRIEND 7 KING 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/869 ________________________________________________________________________ CRTRHEAL CONTRAST BETWEEN CREATOR AND HEALER 114. 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 the two contrasting images? e. 1. Creator 7. Healer VALUE LABEL 0 NAP 1 CREATOR 7 HEALER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/870 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 287 RDEEMLIB CONTRAST BETWEEN REDEEMER AND LIBERATOR 114. 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 the two contrasting images? f. 1. Redeemer 7. Liberator VALUE LABEL 0 NAP 1 REDEEMER 7 LIBERATOR 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/871 ________________________________________________________________________ POPESPKS POPE IS INFALLIBLE ON MATTERS OF FAITH OR MORALS 114g. We are interested in what American Catholics think about religious matters. Please select the answer from this card that comes closest to your own personal opinion about the following statement: under certain conditions, the pope is infallible when he speaks on matters of faith and morals. VALUE LABEL 0 NAP 1 CERTAINLY TRUE 2 PROBABLY TRUE 3 UNCERTAIN TRUE OR FALSE 4 PROBABLY FALSE 5 CERTAINLY FALSE 8 DONT KNOW 9 NO ANSWER Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/872 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 288 SPREL SPOUSES RELIGIOUS PREFERENCE 115. 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: 1/873-874 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 289 RELIG16 RELIGION IN WHICH RAISED 115. 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: 1/875-876 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 290 DENOM16 DENOMINATION IN WHICH R WAS RAISED 115a. 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: 1/877-878 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 291 OTH16 OTHER PROTESTANT DENOMINATIONS VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/879-881 ________________________________________________________________________ JEW16 WHAT SORT OF JEW R WAS AT AGE 16 115b. 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: 1/882 ________________________________________________________________________ FUND16 HOW FUNDAMENTALIST WAS R AT AGE 16 115c. 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: 1/883 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 292 SPDEN SPECIFIC DENOMINATION, SPOUSE 116. What is your [SPOUSE]'s religious preference? Is it Protestant, Catholic, Jewish, some other religion, or no religion? 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: 1/884-885 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 293 SPOTHER OTHER PROTESTANT DENOMINATIONS 116a. If Protestant: What specific denomination is that, if any? VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/886-888 ________________________________________________________________________ SPJEW WHAT SORT OF JEW IS RS SPOUSE CURRENTLY 116b. If Jewish: Does s/he consider herself/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: 1/889 ________________________________________________________________________ SPFUND HOW FUNDAMENTALIST IS SPOUSE CURRENTLY 116c. 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: 1/890 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 294 SPREL16 RELIGION IN WHICH SPOUSE RAISED 117. 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: 1/891 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 295 SPDEN16 DENOMINATION IN WHICH SPOUSE RAISED 117a. 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: 1/892-893 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 296 SPOTH16 OTHER PROTESTANT DENOMINATIONS VALUE LABEL 0 NAP 998 DK 999 NA Data type: numeric Missing-data codes: 0,998,999 Record/columns: 1/894-896 ________________________________________________________________________ SPJEW16 WHAT SORT OF JEW WAS RS SPOUSE AT 16 117b. If Jewish: Was 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: 1/897 ________________________________________________________________________ SPFUND16 HOW FUNDAMENTALIST WAS SPOUSE AT 16 117c. 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: 1/898 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 297 TITHING HOW MUCH DOES R GIVE TO RELIGION 118. 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: 1/899-903 ________________________________________________________________________ PRAYER BIBLE PRAYER IN PUBLIC SCHOOLS 119a. The United States Supreme Court has ruled that no state or local government may require the reading of the Lor'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: 1/904 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 298 PRAYERY BIBLE PRAYER IN SCHOOLS-VERSION Y 119b. 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: 1/905 ________________________________________________________________________ PRAYERX BIBLE PRAYER IN SCHOOLS -- VERSION Z 119c. Which of these statements comes closest to your feelings about prayers in the public schools: 1. The Lord's prayer or some Bible verse should be read daily. 2. There should be a moment for silent prayer or meditation daily. 3. No prayer or other religious observances should be held in the public schools. 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: 1/906 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 299 BIBLE FEELINGS ABOUT THE BIBLE 120a. Which of these statements comes closest to describing your feelings about teh Bible? 1. The Bible is the actual word of God and is to be taken literally, word for word. 2. The Bible is the inspired word of God but not everything in it should be taken literally, word for word. 3. 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: 1/907 ________________________________________________________________________ BIBLEY FEELINGS ABOUT THE BIBLE -- VERSION Z 120b. Here are four statements about the Bible, and I'd like you to tell me which is the closest to your own view: 1. The Bible is God's word and all it says is true. 2. The Bible was written by men inspired by God, but it contains some human errors. 3. The Bible is a good book because it was written by wise men, but God had nothing to do with it. 4. The Bible was written by men who lived so long ago that it is worth very little today. VALUE LABEL 0 NAP 1 GOD'S WORD 2 INSPIRED BY GOD 3 WRITTEN BY MAN 4 NOT WORTH MUCH 5 OTHER 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/908 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 300 WORLD1 WORLD IMAGE: MUCH EVIL VS. MUCH GOOD 121. 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? a. 1. The world is basically filled with evil and sin. 7. 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: 1/909 ________________________________________________________________________ WORLD2 WORLD IMAGE: THE GOOD MUST ACT VS. NOT 121. 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? b. 1. The good person must be deeply involved in the problems and activities in the world. 7. 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: 1/910 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 301 WORLD3 WORLD IMAGE: GOD NOT HERE VS. HERE 121. 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? c. 1. God is almost totally removed from the sinfulness of the world. 7. 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: 1/911 ________________________________________________________________________ WORLD4 WORLD IMAGE: MAN IS GOOD VS. CORRUPT 121. 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? d. 1. Human nature is basically good. 7. 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: 1/912 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 302 WORLD5 WORLD IMAGE: ARTS ARE GOOD VS. NOT 121. 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? e. 1. Through such things as art and music we learn more about God. 7. 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: 1/913 ________________________________________________________________________ WORLD6 WORLD IMAGE: CHAOS VS. HARMONY 121. 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? f. 1. The world is a place of strife and disorder. 7. 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: 1/914 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 303 WORLD7 WORLD IMAGE: ACH. REVEALS GOD VS. NOT 121. 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? g. 1. Human achievement helps to reveal God in the world. 7. 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: 1/915 ________________________________________________________________________ LIBTEMP FEELING THERMOMETER -- LIBERALS 122. I'd like to get your feelings toward groups that are in teh 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. a. Liberals VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/916-918 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 304 CONTEMP FEELING THERMOMETER -- CONSERVATIVES 122. I'd like to get your feelings toward groups that are in teh 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. b. Conservatives VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/919-921 ________________________________________________________________________ PROTTEMP FEELING THERMOMETER -- PROTESTANTS 122. I'd like to get your feelings toward groups that are in teh 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. c. Protestants VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/922-924 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 305 CATHTEMP FEELING THERMOMETER -- CATHOLICS 122. I'd like to get your feelings toward groups that are in teh 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. d. Catholics VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/925-927 ________________________________________________________________________ JEWTEMP FEELING THERMOMETER -- JEWS 122. I'd like to get your feelings toward groups that are in teh 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. e. Jews VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/928-930 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 306 MSLMTEMP FEELING THERMOMETER -- MUSLIMS 122. I'd like to get your feelings toward groups that are in teh 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. f. Muslims VALUE LABEL -1 NAP 998 DK 999 NA Data type: numeric Missing-data codes: -1,998,999 Record/columns: 1/931-933 ________________________________________________________________________ FEPRIEST R FAVORS WOMEN AS PRIESTS 123a. If Catholic respondent: 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: 1/934 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 307 FECLERGY R FAVORS WOMEN AS MINISTERS 123b. Non-Catholic respondents: 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: 1/935 ________________________________________________________________________ RELGRADE GRADE GIVEN RELIGION 124. 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: 1/936 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 308 RACMAR FAVOR LAW AGAINST RACIAL INTERMARRIAGE 125a. Do you think there should be laws against marriages between (Negroes/Blacks/African-Americans) 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: 1/937 ________________________________________________________________________ RACMAR10 FAVOR LAW AGAINST RAC INTRMAR 10 YRS AGO 125b. 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: 1/938 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 309 RACDIN OBJECT TO OPP. RACE HOME FOR DINNER 126. How strongly would you object if a member of your family wanted to bring a (negro/black) friend home to dinner? 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: 1/939 ________________________________________________________________________ RACPUSH BLACKS SHOULDNT PUSH 127. Here are some opinions other people have expressed in connection with (negro/black)-white relations. Do you agree or disagree with each statement: a. (Negroes/blacks/African-Americans) 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: 1/940 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 310 RACSEG WHITES HAVE RIGHT TO SEG. NEIGHBORHOOD 127. Here are some opinions other people have expressed in connection with (negro/black)-white relations. Do you agree or disagree with each statement: b. White people have a right to keep (negroes/blacks/African-Americans) out of their neighborhoods if they want to, and (negroes/blacks/African-Americans) 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: 1/941 ________________________________________________________________________ RACOPEN VOTE ON OPEN HOUSING LAW 128. Suppose there is a community-wide vote on the general housing issue. There are two possible laws to vote on: 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/African-Americans). b. The second law says that a homeowner cannot refuse to sell to someone because of their race or color. Which law would you vote for? 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: 1/942 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 311 RACLIVE ANY OPP. RACE IN NEIGHBORHOOD 129. Are there any (negroes/blacks/African-Americans) 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: 1/943 ________________________________________________________________________ RACCLOS ANY OPP. RACE LIVING CLOSE TO R 129a. Are there any (negro/black/African-American) 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: 1/944 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 312 RACDIS HOW FAR ARE CLOSEST OPP. RACE 129b. How many blocks (or miles) away do they live (the Negro/black/African American] 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: 1/945 ________________________________________________________________________ RACINTEG WILL NEIGHBORHOOD BECOME ALL BLACK 129c. Do you think this neighborhood will become all (negro/black/African-American) 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: 1/946 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 313 RACOBJCT NEIGHBORHOOD INTEGRATED BY SAME SES 130. If 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: 1/947 ________________________________________________________________________ RACHOME OPP. RACE HOME FOR DINNER RECENTLY 131. During the last few years, has anyone in your family brought a friend who was a (negro/black/African-American) 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: 1/948 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 314 RACSCHOL SHOULD WHITES BLACKS GO TO SAME SCHOOL 132. Do you think white students and (negro/black) students should go to teh 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: 1/949 ________________________________________________________________________ RACFEW CHILDREN TO SCHOOL WITH OPPOSITE RACE 133a. Would you yourself have any objection to sending your children to a school wehre a few of the children are [whites/(negroes/blacks/African-Americans)]? VALUE LABEL 0 NAP 1 YES, OBJECT 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/950 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 315 RACHAF CHILDREN TO SCHOOL HALF OPPOSITE RACE 133b. Where half of the children are [whites/(negroes/blacks/African-Americans)]? VALUE LABEL 0 NAP 1 YES, OBJECT 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/951 ________________________________________________________________________ RACMOST CHILDREN TO SCHOOL MOSTLY OPPOSITE RACE 133c. Where more than half of the children are [whites/(negroes/blacks/African-Americans)]? VALUE LABEL 0 NAP 1 YES, OBJECT 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/952 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 316 BUSING ATTITUDE TOWARD RACIAL BUSING 134a. In general, do you favor or oppose the busing of (negro/black/African-American) 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: 1/953 ________________________________________________________________________ BUSING10 FAVOR BUSING 10 YRS AGO 134b. 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: 1/954 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 317 RACPRES WOULD VOTE FOR BLACK PRESIDENT 135. If your party nominated a (negro/black/African-American) 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: 1/955 ________________________________________________________________________ RACJOB EQUAL OPPORTUNITIES ON JOBS 136. 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 whould have the first chance aat 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: 1/956 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 318 RACCHURH ATTEND CHURCH WITH OTHER RACE 137. Do (blacks/Negroes/African-Americans)/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: 1/957 ________________________________________________________________________ COLOR RS SKIN COLOR 138. 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: 1/958 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 319 RACNAME PREFERED RACIAL NAME 139. Which would you most like to be called: black, negro, colored, or Afro-American, or does it make 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: 1/959 ________________________________________________________________________ RACHISCH HOW INTEGRATED WAS RS HIGH SCHOOL 140. 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/columns: 1/960-961 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 320 RACMIX HOW MANY FRIENDS ARE WHITE 141. 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: 8,9,0 Record/column: 1/962 ________________________________________________________________________ RACNEIGH NEIGHBORHOOD R WOULD LIKE TO LIVE IN 142. 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: 8,9,0 Record/column: 1/963 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 321 RACNOBUY EVER BOYCOTT CERTAIN PRODUCTS 143. 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: 8,9,0 Record/column: 1/964 ________________________________________________________________________ RACTRUST TRUST WHITE PEOPLE 144.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: 8,9,0 Record/column: 1/965 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 322 RACPARTY WHICH PARTY HELPS BLACKS MORE 145. 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: 8,9,0 Record/column: 1/966 ________________________________________________________________________ RACOCC EQUALITY IN OCCUPATION 146. Do you feel that a black person who has the same education and qualifications can get as good a job as a white person? VALUE LABEL 0 NAP 1 ALMOST ALWAYS 2 SOMETIMES 3 ALMOST NEVER 8 DK 9 NA Data type: numeric Missing-data codes: 8,9,0 Record/column: 1/967 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 323 RACINC EQUALITY IN INCOME 147. 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: 8,9,0 Record/column: 1/968 ________________________________________________________________________ RACOPNOW OPPORTUNITIES IMPROVED IN LAST 5 YRS 148a. 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: 8,9,0 Record/column: 1/969 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 324 RACOPWIL OPPORTUNITIES IMPROVE IN NEXT 5 YRS 148b. In the next five yeears, 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: 8,9,0 Record/column: 1/970 ________________________________________________________________________ RACIMP IMPORTANCE OF RACE RELATIONS ISSUES TO R 149a. How important is the race relations issue to you? 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: 8,9,0 Record/column: 1/971 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 325 RACINFO HOW MUCH INFO DOES R HAVE ON RACE ISSUES 149b. How much information do you have about the race relations issue? 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: 8,9,0 Record/column: 1/972 ________________________________________________________________________ RACFIRM HOW FIRM IS RS OPINION ON RACIAL ISSUES 149c. How firm are you about your opinion on race relations? 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: 8,9,0 Record/column: 1/973 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 326 RACCARE RS CONCERN ABOUT RACIAL ISSUES 150. How concerned are you personally about race relations? 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: 8,9,0 Record/column: 1/974 ________________________________________________________________________ RACTHINK HOW OFT R FRNDS THINK ABT RACE ISSUES 151. How often would you say that you and your friends think about race relations? 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: 8,9,0 Record/column: 1/975 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 327 RACWRITE R EVER WRITTEN OFFICIAL ABT RACE ISSUES 152. Have you ever: a. 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: 8,9,0 Record/column: 1/976 ________________________________________________________________________ RACGIVE HAS R GIVEN MONEY TO RACIAL ORGS 152. Have you ever: b. 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: 8,9,0 Record/column: 1/977 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 328 RACJOIN EVER JOINED ORG WORKING ON RACIAL ISSUES 152. Have you ever: c. 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: 8,9,0 Record/column: 1/978 ________________________________________________________________________ AFFRMACT FAVOR PREFERENCE IN HIRING BLACKS 153. 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 whites. What about your opinion - are you for or against preferential hiring and promotion of blacks? If favors: Do you favor preference in hiring and promotion strongly or not strongly? If opposes: Do you oppose preference in hiring and promotion strongly or not strongly? 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: 8,9,0 Record/column: 1/979 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 329 WRKWAYUP BLACKS OVERCOME PREJUDICE WITHOUT FAVORS 153b. Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with the following statement: Irish, Italian, Jewish and many other 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: 8,9,0 Record/column: 1/980 ________________________________________________________________________ BLKSIMP HAVE CONDITIONS FOR BLACKS IMPROVED 154. 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: 8,9,0 Record/column: 1/981 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 330 CLOSEBLK HOW CLOSE FEEL TO BLACKS 154a. 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: 1/982-983 ________________________________________________________________________ CLOSEWHT HOW CLOSE FEEL TO WHITES 154b. 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: 1/984-985 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 331 ALIENAT1 PEOPLE RUNNING COUNTRY DONT CARE 156. 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: a. 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: 1/986 ________________________________________________________________________ ALIENAT2 RICH GET RICHER, POOR POORER 156. 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: b. 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: 1/987 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 332 ALIENAT3 WHAT YOU THINK DOESNT COUNT 156. 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: c. 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: 1/988 ________________________________________________________________________ ALIENAT4 YOU RE LEFT OUT OF THINGS 156. 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: d. 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: 1/989 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 333 ALIENAT5 POWERFUL PEOPLE TAKE ADVANTAGE OF YOU 156. 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: e. 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: 1/990 ________________________________________________________________________ ALIENAT6 PEOPLE IN WASH D.C. ARE OUT OF TOUCH 156. 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: f. The people in Washington, D.C. are out of touch with the rest of the country. VALUE LABEL 0 NAP 1 FEEL 2 NOT FEEL 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/991 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 334 HAPPY GENERAL HAPPINESS 157. 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: 1/992 ________________________________________________________________________ HAPMAR HAPPINESS OF MARRIAGE 158. Taking all things together, how would you describe your marriage? 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: 1/993 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 335 HEALTH CONDITION OF HEALTH 159. 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: 1/994 ________________________________________________________________________ LIFE IS LIFE EXCITING OR DULL 160. 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: 1/995 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 336 HELPFUL PEOPLE HELPFUL OR LOOKING OUT FOR SELVES 161. 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: 1/996 ________________________________________________________________________ FAIR PEOPLE FAIR OR TRY TO TAKE ADVANTAGE 162. 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: 1/997 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 337 TRUST CAN PEOPLE BE TRUSTED 163a. Generally speaking, would you say that most people can be trusted or that you can't be too careful in life? 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: 1/998 ________________________________________________________________________ TRUSTY CAN PEOPLE BE TRUSTED-VERSION Y 163b. 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: 1/999 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 338 SATCITY CITY OR PLACE R LIVES IN 164. For each area of life I am going to name, tell me the number that shows how much satisfaction you get from that area. a. 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: 1/1000 ________________________________________________________________________ SATHOBBY NON-WORKING ACTIVITIES,HOBBIES 164. For each area of life I am going to name, tell me the number that shows how much satisfaction you get from that area. b. 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: 1/1001 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 339 SATFAM FAMILY LIFE 164. For each area of life I am going to name, tell me the number that shows how much satisfaction you get from that area. c. 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: 1/1002 ________________________________________________________________________ SATFRND FRIENDSHIPS 164. For each area of life I am going to name, tell me the number that shows how much satisfaction you get from that area. d. 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: 1/1003 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 340 SATHEALT HEALTH AND PHYSICAL CONDITION 164. For each area of life I am going to name, tell me the number that shows how much satisfaction you get from that area. e. 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: 1/1004 ________________________________________________________________________ CONFINAN CONFID IN BANKS FINANCIAL INSTITUTIONS 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? a. 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: 1/1005 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 341 CONBUS CONFIDENCE IN MAJOR COMPANIES 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? b. 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: 1/1006 ________________________________________________________________________ CONCLERG CONFIDENCE IN ORGANIZED RELIGION 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? c. 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: 1/1007 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 342 CONEDUC CONFIDENCE IN EDUCATION 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? d. 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: 1/1008 ________________________________________________________________________ CONFED CONFID. IN EXEC BRANCH OF FED GOVT 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? e. 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: 1/1009 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 343 CONLABOR CONFIDENCE IN ORGANIZED LABOR 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? f. 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: 1/1010 ________________________________________________________________________ CONPRESS CONFIDENCE IN PRESS 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? g. 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: 1/1011 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 344 CONMEDIC CONFIDENCE IN MEDICINE 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? h. 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: 1/1012 ________________________________________________________________________ CONTV CONFIDENCE IN TELEVISION 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? i. Television. 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: 1/1013 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 345 CONJUDGE CONFID. IN UNITED STATES SUPREME COURT 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? j. 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: 1/1014 ________________________________________________________________________ CONSCI CONFIDENCE IN SCIENTIFIC COMMUNITY 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? k. 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: 1/1015 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 346 CONLEGIS CONFIDENCE IN CONGRESS 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? l. 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: 1/1016 ________________________________________________________________________ CONARMY CONFIDENCE IN MILITARY 165. 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 of confidence, only some confidence, or hardly any confidence at all in them? m. 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: 1/1017 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 347 CONFINAY BANKS FINANCIAL INSTITUTIONS -- VER Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: a. 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: 1/1018 ________________________________________________________________________ CONBUSY MAJOR COMPANIES -- VERSION Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: b. 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: 1/1019 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 348 CONCLERY ORGANIZED RELIGION -- VERSION Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: c. 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: 1/1020 ________________________________________________________________________ CONEDUCY EDUCATION -- VERSION Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: d. 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: 1/1021 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 349 CONFEDY EXEC BRANCH FED GOVT -- VERSION Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: e. 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: 1/1022 ________________________________________________________________________ CONLABOY ORGANIZED LABOR -- VERSION Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: f. 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: 1/1023 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 350 CONPRESY PRESS -- VERSION Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: g. 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: 1/1024 ________________________________________________________________________ CONMEDIY MEDICINE -- VERSION Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: h. 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: 1/1025 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 351 CONTVY TELEVISION -- VERSION Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: i. Television? 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: 1/1026 ________________________________________________________________________ CONJUDGY UNITED STATES SUPREME COURT -- VERSION Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: j. U.S. 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: 1/1027 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 352 CONSCIY SCIENTIFIC COMMUNITY -- VERSION Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: k. 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: 1/1028 ________________________________________________________________________ CONLEGIY CONGRESS -- VERSION Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: l. 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: 1/1029 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 353 CONARMYY MILITARY -- VERISON Z 166. 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 number 1. Other people have no confidence at all in teh people running these institutions. Suppose these people are at the other end, at point 7. Where would you place yourself on this scale for: m. 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: 1/1030 ________________________________________________________________________ MANNERS GOOD MANNERS 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which 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: 1/1031 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 354 SUCCESS TRIES HARD TO SUCCEED 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1032 ________________________________________________________________________ HONEST HONEST 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1033 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 355 CLEAN NEAT AND CLEAN 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1034 ________________________________________________________________________ JUDGMENT GOOD SENSE AND SOUND JUDGMENT 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? THAT HE HAS GOOD SENSE AND SOUND JUDGMENT 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: 1/1035 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 356 CONTROL SELF-CONTROL 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1036 ________________________________________________________________________ ROLE ACTS LIKE BOY-ACTS LIKE GIRL 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1037 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 357 AMICABLE GETS ALONG WELL WITH OTHER CHILDREN 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1038 ________________________________________________________________________ OBEYS OBEYS PARENTS WELL 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1039 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 358 RESPONSI RESPONSIBLE 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1040 ________________________________________________________________________ CONSIDER CONSIDERATE OF OTHERS 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1041 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 359 INTEREST INTERESTED HOW AND WHY THINGS HAPPEN 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1042 ________________________________________________________________________ STUDIOUS GOOD STUDENT 167a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1043 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 360 MANNERSY GOOD MANNERS-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which 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: 1/1044 ________________________________________________________________________ SUCCESSY TRIES HARD TO SUCCEED-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1045 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 361 HONESTY HONEST-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1046 ________________________________________________________________________ CLEANY NEAT AND CLEAN-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? THAT A CHILD 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: 1/1047 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 362 JUDGMENY GOOD SENSE, SOUND JUDGMENT-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? THAT A CHILD HAS GOOD SENSE AND SOUND JUDGMENT 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: 1/1048 ________________________________________________________________________ CONTROLY SELF-CONTROL-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1049 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 363 ROLEY ACTS LIKE BOY-ACTS LIKE GIRL-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1050 ________________________________________________________________________ AMICABLY GETS ALONG WITH OTHER CHILDREN-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? THAT A CHILD 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: 1/1051 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 364 OBEYSY OBEYS PARENTS WELL-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1052 ________________________________________________________________________ RESPONSY RESPONSIBLE-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1053 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 365 CONSIDEY CONSIDERATE OF OTHERS-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1054 ________________________________________________________________________ INTERESY INTERESTED HOW THINGS HAPPEN-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1055 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 366 STUDIOUY GOOD STUDENT-VERSION Y 168a. Which three qualities listed on this card would you say are the most desirable for a child to have? b. Which one of these three is the most desirable of all? c. All of the qualities listed on this card may be desirable, but could you tell me which three you consider least important? d. And which of these three is least important of all? 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: 1/1056 ________________________________________________________________________ MANNERSZ GOOD MANNERS-VERSION Z 169. 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. a. 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: 1/1057 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 367 SUCCESSZ TRIES HARD TO SUCCEED-VERSION Z 169. 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. b. 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: 1/1058 ________________________________________________________________________ HONESTZ HONEST-VERSION Z 169. 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. c. 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: 1/1059 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 368 CLEANZ NEAT AND CLEAN-VERSION Z 169. 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. d. 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: 1/1060 ________________________________________________________________________ JUDGMENZ GOOD SENSE, SOUND JUDGMENT-VERSION Z 169. 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. e. That he has good sense and sound judgment 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: 1/1061 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 369 CONTROLZ SELF-CONTROL-VERSION Z 169. 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. f. 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: 1/1062 ________________________________________________________________________ ROLEZ ACTS LIKE BOY-ACTS LIKE GIRL-VERSION Z 169. 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. g. 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: 1/1063 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 370 AMICABLZ GETS ALONG WITH OTHER CHILDREN-VERSION Z 169. 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. h. 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: 1/1064 ________________________________________________________________________ OBEYSZ OBEYS PARENTS WELL-VERSION Z 169. 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. i. 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: 1/1065 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 371 RESPONSZ RESPONSIBLE-VERSION Z 169. 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. j. 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: 1/1066 ________________________________________________________________________ CONSIDEZ CONSIDERATE OF OTHERS-VERSION Z 169. 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. k. 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: 1/1067 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 372 INTERESZ INTERESTED HOW THINGS HAPPEN-VERSION Z 169. 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. l. 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: 1/1068 ________________________________________________________________________ STUDIOUZ GOOD STUDENT-VERSION Z 169. 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. m. 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: 1/1069 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 373 OBEY TO OBEY 170. 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? a. Which comes next in importantc? b. Which comes third? c. Which comes fourth? 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: 1/1070 ________________________________________________________________________ POPULAR TO BE WELL LIKED OR POPULAR 170. 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? a. Which comes next in importantc? b. Which comes third? c. Which comes fourth? 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: 1/1071 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 374 THNKSELF TO THINK FOR ONES SELF 170. 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? a. Which comes next in importantc? b. Which comes third? c. Which comes fourth? 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: 1/1072 ________________________________________________________________________ WORKHARD TO WORK HARD 170. 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? a. Which comes next in importantc? b. Which comes third? c. Which comes fourth? 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: 1/1073 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 375 HELPOTH TO HELP OTHERS 170. 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? a. Which comes next in importantc? b. Which comes third? c. Which comes fourth? 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: 1/1074 ________________________________________________________________________ CHLDSEX QUALITIES FOR BOYS OR GIRLS 171a. 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: 1/1075 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 376 CHLDSEX1 QUALITIES FOR BOYS OR GIRLS -- VARIANT 171b. 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: 1/1076 ________________________________________________________________________ YOUNGEN WHAT SHOULD YOUNGER GENERATION BE TAUGHT 172. Here are two statements. Will you tell me which one you agree with more? a. First, the younger generation should be taught by their elders to do what is right. b. Second, the younger generation should be taught to think for themselves. 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: 1/1077 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 377 SOCREL SPEND EVENING WITH RELATIVES 173. 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: 0,8,9 Record/columns: 1/1078-1079 ________________________________________________________________________ SOCOMMUN SPEND EVENING WITH NEIGHBOR 173. Would you use this card and tell me which answer comes closest to how often you do the following things: 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: 0,8,9 Record/columns: 1/1080-1081 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 378 SOCFREND SPEND EVENING WITH FRIENDS 173. Would you use this card and tell me which answer comes closest to how often you do the following things: 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: 0,8,9 Record/columns: 1/1082-1083 ________________________________________________________________________ SOCBAR SPEND EVENING AT BAR 173. Would you use this card and tell me which answer comes closest to how often you do the following things: 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: 0,8,9 Record/columns: 1/1084-1085 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 379 SOCPARS SPEND EVENING WITH PARENTS 173. Would you use this card and tell me which answer comes closest to how often you do the following things: 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: 0,8,9 Record/columns: 1/1086-1087 ________________________________________________________________________ SOCSIBS SPEND EVENING WITH SIBLINGS 173. Would you use this card and tell me which answer comes closest to how often you do the following things: 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: 0,8,9 Record/columns: 1/1088-1089 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 380 AGED SHOULD AGED LIVE WITH THEIR CHILDREN 174. 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: 1/1090 ________________________________________________________________________ DRINK EVER DRINK ALCOHOLIC BEVERAGES? 176. 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: 1/1091 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 381 DRUNK EVER DRINK TOO MUCH? 176a. 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: 1/1092 ________________________________________________________________________ SMOKE DOES R SMOKE 177. 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: 1/1093 ________________________________________________________________________ QUITSMK EVER TRIED TO QUIT SMOKING 177a. 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: 1/1094 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 382 SMOKECIG DOES R SMOKE CIGARETTES 177b. 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: 1/1095 ________________________________________________________________________ CIGWEEK HAS R SMOKED CIGARETTES IN LAST WEEK 177c. 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: 1/1096 ________________________________________________________________________ EVSMOKE HAS R EVER SMOKED 177d. 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: 1/1097 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 383 ANOMIA1 NEXT TO HEALTH, MONEY IS MOST IMPORTANT 178. 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: 1/1098 ________________________________________________________________________ ANOMIA2 WONDER IF ANYTHING IS WORTHWHILE 178. 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. b. You sometimes 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: 1/1099 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 384 ANOMIA3 NO RIGHT WRONG WAYS TO MAKE MONEY 178. 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. 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: 1/1100 ________________________________________________________________________ ANOMIA4 LIVE ONLY FOR TODAY 178. 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. d. 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: 1/1101 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 385 ANOMIA5 LOT OF THE AVERAGE MAN GETTING WORSE 178. 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. e. 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: 1/1102 ________________________________________________________________________ ANOMIA6 NOT FAIR TO BRING CHILD INTO WORLD 178. 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. f. 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: 1/1103 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 386 ANOMIA7 OFFICIALS NOT INTERESTED IN AVERAGE MAN 179. 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. 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: 1/1104 ________________________________________________________________________ ANOMIA8 DONT KNOW WHOM TO TRUST 179. 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. b. 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: 1/1105 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 387 ANOMIA9 MOST DONT CARE WHAT HAPPENS TO OTHERS 179. 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. c. 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: 1/1106 ________________________________________________________________________ JOBLOSE IS R LIKELY TO LOSE JOB 180a. Thinking about the next 12 months, how likely do you think it is that you will lose your job or be laid off? 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: 1/1107 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 388 JOBFIND COULD R FIND EQUALLY GOOD JOB 180b. 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? 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: 1/1108 ________________________________________________________________________ SATJOB JOB OR HOUSEWORK 181. On the whole, how satisfied are you with the work you do? 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: 1/1109 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 389 RICHWORK IF RICH, CONTINUE OR STOP WORKING 182. 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: 1/1110 ________________________________________________________________________ JOBINC HIGH INCOME 183a. Would you please look at this card and tell me which one thing on this list you would most prefer in a job? b. Which comes next? c. Which is third most important? d. Which is fourth most important? 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: 1/1111 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 390 JOBSEC NO DANGER OF BEING FIRED 183a. Would you please look at this card and tell me which one thing on this list you would most prefer in a job? b. Which comes next? c. Which is third most important? d. Which is fourth most important? 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: 1/1112 ________________________________________________________________________ JOBHOUR SHORT WORKING HOURS 183a. Would you please look at this card and tell me which one thing on this list you would most prefer in a job? b. Which comes next? c. Which is third most important? d. Which is fourth most important? 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: 1/1113 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 391 JOBPROMO CHANCES FOR ADVANCEMENT 183a. Would you please look at this card and tell me which one thing on this list you would most prefer in a job? b. Which comes next? c. Which is third most important? d. Which is fourth most important? 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: 1/1114 ________________________________________________________________________ JOBMEANS WORK IMPORTANT AND FEEL ACCOMPLISHMENT 183a. Would you please look at this card and tell me which one thing on this list you would most prefer in a job? b. Which comes next? c. Which is third most important? d. Which is fourth most important? 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: 1/1115 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 392 JOBKEEP JOB SECURITY 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1116 ________________________________________________________________________ JOBPAY HIGH INCOME 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1117 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 393 JOBRISE OPPORTUNITY FOR ADVANCEMENT 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1118 ________________________________________________________________________ JOBHONOR OCCUPATION IS RECOGNIZED AND RESPECTED 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1119 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 394 JOBOFF LEAVES TIME FOR LEISURE 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1120 ________________________________________________________________________ JOBINTER INTERESTING WORK 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1121 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 395 JOBINDEP ALLOWS ONE TO WORK INDEPENDENTLY 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1122 ________________________________________________________________________ JOBRESP RESPONSIBLE JOB TASKS 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1123 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 396 JOBPEOP CONTACT WITH OTHER PEOPLE 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1124 ________________________________________________________________________ JOBHELP CAN HELP OTHERS 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1125 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 397 JOBSOC USEFUL TO SOCIETY 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1126 ________________________________________________________________________ JOBACCMP DOING SOMETHING MEANINGFUL 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1127 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 398 JOBSAFE SAFE CONDITIONS 184. On these card are various aspects of jobs. How important do you personally consider these job characteristics? 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: 1/1128 ________________________________________________________________________ CLASS SUBJECTIVE CLASS IDENTIFICATION 185a. 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: 1/1129 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 399 CLASSY SUBJECTIVE SOCIAL CLASS-VERSION Y 185b. 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: 1/1130 ________________________________________________________________________ RANK RS SELF RANKING OF SOCIAL POSITION 186. In our society there are groups which tend to be towards the top and those that are towards the bottom. Here we have ascale that runs from top (1) to bottom (10). a. 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: 1/1131-1132 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 400 RANK10 RS SOCIAL RANK 10 YEARS AGO 186. In our society there are groups which tend to be towards the top and those that are towards the bottom. Here we have ascale that runs from top (1) to bottom (10). b. And ten years ago, where did you fit in then? VALUE LABEL 0 NAP 1 TOP 10 BOTTOM 98 DK 99 NA Data type: numeric Missing-data codes: 0,98,99 Record/columns: 1/1133-1134 ________________________________________________________________________ SATFIN SATISFACTION WITH FINANCIAL SITUATION 187a. 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 your present financial situation, more or less satisfied, or not satisfied at all? VALUE LABEL 0 NAP 1 SATISFIED 2 MORE OR LESS 3 NOT AT ALL SAT 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1135 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 401 FINALTER CHANGE IN FINANCIAL SITUATION 187b. During the last few years, has your financial situation been getting better, worse, or has it stayed the same? VALUE LABEL 0 NAP 1 BETTER 2 WORSE 3 STAYED SAME 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1136 ________________________________________________________________________ FINRELA OPINION OF FAMILY INCOME 188. 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 0 NAP 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: 0,8,9 Record/column: 1/1137 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 402 INCNEED INCOME FAMILY NEEDS 189. Living where you do now and meeting the expenses you consider necessary, 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: 1/1138-1143 ________________________________________________________________________ MININC MINIMUM AMOUNT OF INCOME NEEDED PER WEEK 190. 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: 1/1144-1146 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 403 WKSUB DOES R OR SPOUSE HAVE SUPERVISOR 191. 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: 1/1147 ________________________________________________________________________ WKSUBS DOES SUPERVISOR HAVE SUPERVISOR 191a. If yes: Does that person have a superviosr 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: 1/1148 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 404 WKSUP DOES R OR SPOUSE SUPERVISE ANYONE 192. 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: 1/1149 ________________________________________________________________________ WKSUPS DOES SUBORDINATE SUPERVISE ANYONE 192a. 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: 1/1150 ________________________________________________________________________ UNEMP EVER UNEMPLOYED IN LAST TEN YRS 193. 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: 1/1151 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 405 GOVAID EVER RECEIVE WELFARE, UNEMP INSUR, ETC. 194. 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: 1/1152 ________________________________________________________________________ GETAID EVER RECEIVED WELFARE? 195. 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: 1/1153 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 406 UNION DOES R OR SPOUSE BELONG TO UNION 196. Do you (or your [SPOUSE]) belong to a lobor 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: 1/1154 ________________________________________________________________________ GETAHEAD OPINION OF HOW PEOPLE GET AHEAD 197. 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: 1/1155 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 407 PARSOL RS LIVING STANDARD COMPARED TO PARENTS 198a. Compared to your parents 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: 1/1156 ________________________________________________________________________ KIDSSOL RS KIDS LIVING STANDARD COMPARED TO R 198b. 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 that your 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: 1/1157 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 408 FEHOME WOMEN TAKE CARE OF HOME NOT COUNTRY 199. 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: 1/1158 ________________________________________________________________________ FEWORK SHOULD WOMEN WORK 200. 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: 1/1159 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 409 FEPRES VOTE FOR WOMAN PRESIDENT 201. 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: 1/1160 ________________________________________________________________________ FEPOL WOMEN NOT SUITED FOR POLITICS 202a. 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: 1/1161 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 410 FEPOLY MEN OR WOMEN BETTER SUITED FOR POLITICS 202b. 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: 1/1162 ________________________________________________________________________ FEIMP IMPORTANCE OF WOMENS RIGHTS ISSUE TO R 203a. How important is the women's rights issue to you? 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: 1/1163 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 411 FEINFO HOW MUCH INFO R HAS ON WOMENS RGTS 203b. 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 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: 1/1164 ________________________________________________________________________ FEFIRM HOW FIRM IS RS OPINION ON WOMENS RGHTS 203c. How firm are you about your opinion on women's rights? 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: 1/1165 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 412 FECARE RS CONCERN ABOUT WOMENS RIGHTS 204a. How concerned are you personally about women's rights? 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: 1/1166 ________________________________________________________________________ FETHINK HOW OFT R FRNDS THINK ABT WOMENS RGTS 204b. How often would you say that you and your friends think about women's rights? 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: 1/1167 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 413 FEWRITE R EVER WRITTEN OFFICIAL ABT WOMENS RGTS 205. Have you ever: a. Written a letter to a public official expressing your views on women's right? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1168 ________________________________________________________________________ FEGIVE HAS R GIVEN MONEY TO WOMENS RIGHTS ORGS 205. Have you ever: b. 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: 1/1169 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 414 FEJOIN EVER JOINED ORG WORKING ON WOMENS RGTS 205. Have you ever: c. 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: 1/1170 ________________________________________________________________________ ABDEFECT STRONG CHANCE OF SERIOUS DEFECT 206. Please tell me whether or not you think it should be possible for a pregnant woman to obtaina legal abortion if: a. 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: 1/1171 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 415 ABNOMORE MARRIED--WANTS NO MORE CHILDREN 206. Please tell me whether or not you think it should be possible for a pregnant woman to obtaina legal abortion if: b. She is married and does 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: 1/1172 ________________________________________________________________________ ABHLTH WOMANS HEALTH SERIOUSLY ENDANGERED 206. Please tell me whether or not you think it should be possible for a pregnant woman to obtaina legal abortion if: c. 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: 1/1173 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 416 ABPOOR LOW INCOME--CANT AFFORD MORE CHILDREN 206. Please tell me whether or not you think it should be possible for a pregnant woman to obtaina legal abortion if: d. 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: 1/1174 ________________________________________________________________________ ABRAPE PREGNANT AS RESULT OF RAPE 206. Please tell me whether or not you think it should be possible for a pregnant woman to obtaina legal abortion if: e. 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: 1/1175 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 417 ABSINGLE NOT MARRIED 206. Please tell me whether or not you think it should be possible for a pregnant woman to obtaina legal abortion if: f. 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: 1/1176 ________________________________________________________________________ ABANY ABORTION IF WOMAN WANTS FOR ANY REASON 206. Please tell me whether or not you think it should be possible for a pregnant woman to obtaina legal abortion if: g. 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: 1/1177 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 418 ABORCT HEARD SUPREME COURT DECISION ON ABORTION 207. 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: 1/1178 ________________________________________________________________________ ABPRO1 1ST ARGUMENT FOR ABORTION 208. As far as you've heard, what are the main arguments in favor of abortions? VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/1179-1180 ________________________________________________________________________ ABPRO2 2ND ARGUMENT FOR ABORTION 208. As far as you've heard, what are the main arguments in favor of abortions? VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/1181-1182 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 419 ABPRO3 3RD ARGUMENT FOR ABORTION 208. As far as you've heard, what are the main arguments in favor of abortions? VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/1183-1184 ________________________________________________________________________ ABCON1 1ST ARGUMENT AGAINST ABORTION 208. And, as far as you've heard, what are the main arguments against abortion? VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/1185-1186 ________________________________________________________________________ ABCON2 2ND ARGUMENT AGAINST ABORTION 208. And, as far as you've heard, what are the main arguments against abortion? VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/1187-1188 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 420 ABCON3 3RD ARGUMENT AGAINST ABORTION 208. And, as far as you've heard, what are the main arguments against abortion? VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/1189-1190 ________________________________________________________________________ ABIMP IMPORTANCE OF ABORTION ISSUE TO R 209a. How important is the abortion issue to you? 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: 1/1191 ________________________________________________________________________ ABINFO HOW MUCH INFO DOES R HAVE ON ABORTION 209b. How much information do you have about the abortion issue? 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: 1/1192 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 421 ABFIRM HOW FIRM IS RS OPINION ON ABORTION 209c. How firm are you about your opinion on abortion? 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: 1/1193 ________________________________________________________________________ ABCARE HOW CONCERNED IS R ABOUT ABORTION 210. How concerned are you personally about the abortion issue? 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: 1/1194 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 422 CHLDIDEL IDEAL NUMBER OF CHILDREN 211. 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/columns: 1/1195-1196 ________________________________________________________________________ CHLDMORE EXPECT MORE CHILDREN 212. 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: 1/1197 ________________________________________________________________________ CHLDNUM HOW MANY CHILDREN EXPECTED 212a. How many (more)? VALUE LABEL 0 NAP 8 8 OR MORE 9 DK,NA Data type: numeric Missing-data codes: 0,9 Record/column: 1/1198 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 423 CHLDSOON CHILDREN EXPECTED IN 5 YEARS 212b. 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/columns: 1/1199-1200 ________________________________________________________________________ PILL BIRTH CONTROL INFORMATION 213a. 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: 1/1201 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 424 TEENPILL BIRTH CONTROL INFORMATION TO TEENS 213b. Do you think birth control information should be avaialable 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: 1/1202 ________________________________________________________________________ PILLOK BIRTH CONTROL TO TEENAGERS 14-16 213c. Do you strongly agree, agree, 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: 1/1203 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 425 SEXEDUC SEX EDUCATION IN PUBLIC SCHOOLS 214. 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: 1/1204 ________________________________________________________________________ DIVLAW DIVORCE LAWS 215a. 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: 1/1205 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 426 DIVLAWY DIVORCE LAWS-VERSION Y 215b. 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: 1/1206 ________________________________________________________________________ SPDUE EVER ENTITLED TO ALIMONY OR CHLD SUPPORT 216. 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: 1/1207 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 427 SPPAID REGULARLY RECEIVED ALIMONY - CHLD SUPPRT 216a. 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: 1/1208 ________________________________________________________________________ PREMARSX SEX BEFORE MARRIAGE 217. There's been a lot of discussion about the way morals and attitudes about 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 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: 1/1209 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 428 TEENSEX SEX BEFORE MARRIAGE -- TEENS 14-16 217a. 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: 1/1210 ________________________________________________________________________ XMARSEX SEX WITH PERSON OTHER THAN SPOUSE 218. What is yoru opinion about a married person having sexual relations with someone other than the marriage partner? 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: 1/1211 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 429 HOMOSEX HOMOSEXUAL SEX RELATIONS 219. What about sexual relations between two adults of the same sex? 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: 1/1212 ________________________________________________________________________ HOMOCHNG HOMOSEXUALITY: INHERENT OR CHOICE? 220. 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: 1/1213 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 430 PORNINF MATERIALS PROVIDE INFO ABOUT SEX 221. 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: 1/1214 ________________________________________________________________________ PORNMORL MATERIALS LEAD TO BREAKDOWN IN MORALS 221. 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: 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: 1/1215 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 431 PORNRAPE MATERIALS LEAD TO RAPE 221. 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: 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: 1/1216 ________________________________________________________________________ PORNOUT MATERIALS PROVIDE OUTLET 221. 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: 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: 1/1217 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 432 PORNLAW FEELINGS ABOUT PORNOGRAPHY LAWS 222. Which of these statements comes closest to your feelings about pornography laws: 1. There should be laws against the distribution of pornography whatever the age. 2. There should be laws against the distribution of pornography to persons under 18. 3. There should be no laws forbidding the distribution of pornography. 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: 1/1218 ________________________________________________________________________ XMOVIE SEEN X-RATED MOVIE IN LAST YEAR 223a. 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: 1/1219 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 433 XMOVIE1 SEEN PORN FILM (THEATER OR VCR) LAST YR 223b. 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: 1/1220 ________________________________________________________________________ PORNIMP IMPORTANCE OF PORNOGRAPHY ISSUE TO R 224a. How important is the pornography issue to you? 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: 1/1221 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 434 PORNINFO HOW MUCH INFO DOES R HAVE ON PORN ISSUE 224b. How much information do you have about the pornography issue? 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: 1/1222 ________________________________________________________________________ PORNFIRM HOW FIRM IS RS OPINION ON PORN ISSUE 224c. How firm are you about (your opinion on/the way you feel about) pornography? 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: 1/1223 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 435 SPANKING FAVOR SPANKING TO DISCIPLINE CHILD 225. 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: 1/1224 ________________________________________________________________________ LETDIE1 ALLOW INCURABLE PATIENTS TO DIE 226. 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: 1/1225 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 436 LETDIE2 LET PATIENTS DIE IF DOCTORS AGREE 226a. 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: 1/1226 ________________________________________________________________________ SUICIDE1 SUICIDE IF INCURABLE DISEASE 227. Do you think a person has the right to end his or her own life if this person: a. 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: 1/1227 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 437 SUICIDE2 SUICIDE IF BANKRUPT 227. Do you think a person has the right to end his or her own life if this person: b. 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: 1/1228 ________________________________________________________________________ SUICIDE3 SUICIDE IF DISHONORED FAMILY 227. Do you think a person has the right to end his or her own life if this person: c. 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: 1/1229 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 438 SUICIDE4 SUICIDE IF TIRED OF LIVING 227. Do you think a person has the right to end his or her own life if this person: d. 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: 1/1230 ________________________________________________________________________ STRIKE PICKETING FOR LABOR STRIKE 228 Have you ever taken part in: a. 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: 1/1231 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 439 CIVRIGHT CIVIL RIGHTS DEMONSTRATION 228 Have you ever taken part in: b. 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: 1/1232 ________________________________________________________________________ ANTIWAR ANTI-WAR DEMONSTRATION 228 Have you ever taken part in: c. 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: 1/1233 ________________________________________________________________________ PROWAR PRO-WAR DEMONSTRATION 228 Have you ever taken part in: d. 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: 1/1234 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 440 SCHOOL SCHOOL RELATED DEMONSTRATION 228 Have you ever taken part in: e. 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: 1/1235 ________________________________________________________________________ HIT EVER PUNCHED OR BEATEN BY ANOTHER PERSON 229. 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: 1/1236 ________________________________________________________________________ HITAGE BEATEN AS CHILD OR ADULT 229a. 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: 1/1237 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 441 HITNUM IF BEATEN--HOW MANY TIMES 229b. 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: 1/1238 ________________________________________________________________________ GUN EVER THREATENED WITH GUN OR SHOT AT 230. 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: 1/1239 ________________________________________________________________________ GUNAGE THREATENED OR SHOT AT AS CHILD OR ADULT 230a. 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: 1/1240 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 442 GUNNUM IF THREATENED OR SHOT AT--HOW MANY TIMES 230b. 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: 1/1241 ________________________________________________________________________ HITOK EVER APPROVE OF MAN PUNCHING ADULT MALE 231. 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: 1/1242 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 443 HITMARCH STRANGER IN PROTEST MARCH 231. If yes or not sure: Would you approve if the stranger: a. 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: 1/1243 ________________________________________________________________________ HITDRUNK DRUNK BUMPED INTO MAN WIFE 231. If yes or not sure: Would you approve if the stranger: b. Was drunked 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: 1/1244 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 444 HITCHILD STRANGER HAD HIT MANS CHILD 231. If yes or not sure: Would you approve if the stranger: c. 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: 1/1245 ________________________________________________________________________ HITBEATR STRANGER WAS BEATING UP A WOMAN 231. If yes or not sure: Would you approve if the stranger: d. 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: 1/1246 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 445 HITROBBR STRANGER HAD BROKEN INTO MANS HOUSE 231. If yes or not sure: Would you approve if the stranger: e. 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: 1/1247 ________________________________________________________________________ POLHITOK EVER APPROVE OF POLICE STRIKING CITIZEN 232. 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: 1/1248 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 446 POLABUSE CITIZEN SAID VULGAR OR OBSCENE THINGS 232. If yes or not sure: Would you approve of a policeman striking a citizen who: a. 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: 1/1249 ________________________________________________________________________ POLMURDR CITIZEN QUESTIONED AS MURDER SUSPECT 232. If yes or not sure: Would you approve of a policeman striking a citizen who: b. 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: 1/1250 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 447 POLESCAP CITIZEN ATTEMPTING TO ESCAPE CUSTODY 232. If yes or not sure: Would you approve of a policeman striking a citizen who: c. Was attempting 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: 1/1251 ________________________________________________________________________ POLATTAK CITIZEN ATTACKING POLICEMAN WITH FISTS 232. If yes or not sure: Would you approve of a policeman striking a citizen who: d. 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: 1/1252 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 448 FEAR AFRAID TO WALK AT NIGHT IN NEIGHBORHOOD 233. Is there any area right around here - that is, within a mile - where you would be afraid to walk alone at night? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1253 ________________________________________________________________________ FEARHOME DOES R FEEL SAFE AND SECURE AT HOME 234. 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: 1/1254 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 449 BURGLR HOME BROKEN INTO DURING THE LAST YEAR 235. 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: 1/1255 ________________________________________________________________________ ROBBRY FORCEFULLY ROBBED DURING THE LAST YEAR 236. 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: 1/1256 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 450 OWNGUN HAVE GUN IN HOME 237. Do you happen to have in your home (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: 1/1257 ________________________________________________________________________ PISTOL PISTOL OR REVOLVER IN HOME 237a. If yes: Is it a pistol, shotgun, rigfle, or what? PISTOL OR REVOLVER 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: 1/1258 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 451 SHOTGUN SHOTGUN IN HOME 237a. If yes: Is it a pistol, shotgun, rigfle, or what? SHOTGUN 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: 1/1259 ________________________________________________________________________ RIFLE RIFLE IN HOME 237a. If yes: Is it a pistol, shotgun, rigfle, or what? RIFLE 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: 1/1260 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 452 ROWNGUN DOES GUN BELONG TO R 237b. 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: 1/1261 ________________________________________________________________________ TICKET EVER RECEIVED A TRAFFIC TICKET 238. 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: 1/1262 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 453 ARREST EVER PICKED UP OR CHARGED BY POLICE 239. 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: 1/1263 ________________________________________________________________________ HUNT DOES R OR SPOUSE HUNT 240a. Do you (or does you [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: 1/1264 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 454 HUNTOTHR DOES OTHER HOUSEHOLD MEMBER HUNT 240b. 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: 1/1265 ________________________________________________________________________ NEWS HOW OFTEN DOES R READ NEWSPAPER 241. 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: 1/1266 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 455 TVHOURS HOURS PER DAY WATCHING TV 242. 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: 1/1267-1268 ________________________________________________________________________ RADIOHRS HOURS PER DAY LISTENING TO RADIO 243. Do you ever listen to the radio? a. 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: 1/1269-1270 ________________________________________________________________________ PHONE DOES R HAVE TELEPHONE 243. Thank you very much for your time and help. Do you have a telephone? VALUE LABEL 0 NAP 1 NO PHONE 2 REFUSED 3 PHONE IN HOME 4 PHONE ELSEWHERE 5 PHONE,DK WHERE 6 CELLPHONE 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1271 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 456 COOP2 RS ATTITUDE TOWARD INTERVIEW 245. 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: 0,8,9 Record/column: 1/1272 ________________________________________________________________________ COOP RS ATTITUDE TOWARD INTERVIEW 246. 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: 0,8,9 Record/column: 1/1273 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 457 COMPREND RS UNDERSTANDING OF QUESTIONS 247. 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: 1/1274 ________________________________________________________________________ FORM FORM OF SPLIT QUESTIONNAIRE ASKED 248. A split ballot was used in the 1973, 1974, 1976, 1978, 1980, and 1982-2006 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. VALUE LABEL 0 NO SPLIT QUES 1 STANDARD 2 ALTERNATE 3 ALTERNATE Data type: numeric Missing-data code: 0 Record/column: 1/1275 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 458 ABSPNO ABORTION IF HUSBAND OPPOSES 249. 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: 1/1276 ________________________________________________________________________ ABHAVE1 HAVE ABORTION IF PROBABLE DEFECT 250. WOMEN: Would you yourself have an abortion if: MEN: Would you yourself advise the woman you were married to have an abortion if: a. 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: 1/1277 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 459 ABHAVE2 HAVE ABORTION IF HEALTH ENDANGERED 250. WOMEN: Would you yourself have an abortion if: MEN: Would you yourself advise the woman you were married to have an abortion if: b. (Your/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: 1/1278 ________________________________________________________________________ ABHAVE3 HAVE ABORTION IF COULDNT AFFORD CHILD 250. WOMEN: Would you yourself have an abortion if: MEN: Would you yourself advise the woman you were married to have an abortion if: c. 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: 1/1279 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 460 ABLEGAL SHOULD ABORTION EVER BE LEGAL 251. 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: 1/1280 ________________________________________________________________________ FECHLD MOTHER WORKING DOESNT HURT CHILDREN 252. 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. 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: 1/1281 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 461 FEHELP WIFE SHOULD HELP HUSBANDS CAREER FIRST 252. 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. 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: 1/1282 ________________________________________________________________________ FEPRESCH PRESCHOOL KIDS SUFFER IF MOTHER WORKS 252. 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. 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: 1/1283 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 462 FEFAM BETTER FOR MAN TO WORK, WOMAN TEND HOME 252. 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. 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: 1/1284 ________________________________________________________________________ ERAREAD HAS R HEARD OR READ ABOUT ERA 253. 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: 1/1285 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 463 ERAMEANS DOES R UNDERSTAND WHAT ERA MEANS 253a. 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: 1/1286 ________________________________________________________________________ ERA DOES R FAVOR OR OPPOSE ERA? 253b. 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: 1/1287 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 464 ERATELL DOES R FAVOR OR OPPOSE ERA 253c. 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: 1/1288 ________________________________________________________________________ ERAWHY1 1ST REASON FAVOR-OPPOSE ERA 254. Why do you (favor/oppose) the Equal Rights Amendment? VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/1289-1290 ________________________________________________________________________ ERAWHY2 2ND REASON FAVOR-OPPOSE ERA 254. Why do you (favor/oppose) the Equal Rights Amendment? VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/1291-1292 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 465 ERAWHY3 3RD REASON FAVOR-OPPOSE ERA 254. Why do you (favor/oppose) the Equal Rights Amendment? VALUE LABEL 0 NAP 99 NA Data type: numeric Missing-data codes: 0,99 Record/columns: 1/1293-1294 ________________________________________________________________________ ERAIMP IMPORTANCE OF ERA ISSUE 255. How important is the Equal Rights Amendment issue to you? 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: 1/1295 ________________________________________________________________________ ERAINFO HOW MUCH INFO DOES R HAVE ABOUT ERA 256. How much information do you have about the Equal Rights Amendment? 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: 1/1296 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 466 ERAFIRM HOW FIRM IS RS OPINION ON ERA 257. How firm are you about (your opinion/the way you feel about) the Equal Rights Amendment? 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: 1/1297 ________________________________________________________________________ FEBEAR CAN WIFE REFUSE TO HAVE CHILDREN 258. 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: 1/1298 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 467 FEWORKIF MARRIED WOMEN WORK IF JOBS LIMITED 259. If there is a limited number of jobs, do you approve or disapprove of a married woman holding a job in business ro 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: 1/1299 ________________________________________________________________________ RACSUBS FAVOR ATTEMPTS TO INTEGRATE SUBURBS 260. 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: 1/1300 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 468 RACSUBGV SUBURBAN GOVTS ENCOURAGE INTEGRATION 261. 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: 1/1301 ________________________________________________________________________ RACMAREL WHAT IF RELATIVE MARRIED OTHER RACE 262. How would it make you feel if a close relative of yours were planning to marry a [(negro/black)/white]? 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: 1/1302 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 469 RACMARPR EXPECT PROBS IN INTERRACIAL MARRIAGE 263. 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: 1/1303 ________________________________________________________________________ RACSUPS EXPECT PROBS IF BLACKS SUPERVISE WHITES 263. Please tell me whether you agree or disagree with the following statements: b. You can expect special problems with (negroes/blacks) 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: 1/1304 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 470 RACTEACH DONT HIRE TEACHERS AGAINST INTEGRATION 263. Please tell me whether you agree or disagree with the following statements: 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: 1/1305 ________________________________________________________________________ RACAVOID AVOID DRIVING THRU BLACK NEIGHBORHOOD 264. If you were driving through the neighbhorhoods in a city, would you go out of your way to avoid going through a (negro/black/African-American) section? VALUE LABEL 0 NAP 1 YES 2 NO 8 DK 9 NA Data type: numeric Missing-data codes: 0,8,9 Record/column: 1/1306 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 471 RACCHNG TRY TO INTEGRATE SOCIAL CLUB 265. 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: 1/1307 ________________________________________________________________________ RACQUIT QUIT IF COULDNT INTEGRATE CLUB 265a. If yes: If you could not get the rules changed, do you think you would resign from teh 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: 1/1308 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 472 RACDIF1 DIFFERENCES DUE TO DISCRIMINATION 266. On the average (negroes/blacks/African-Americans) 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: 1/1309 ________________________________________________________________________ RACDIF2 DIFFERENCES DUE TO INBORN DISABILITY 266. On the average (negroes/blacks/African-Americans) have worse jobs, income, and housing than white people. Do you think these differences are: b. Because most (negroes/blacks/African-Americans) 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: 1/1310 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 473 RACDIF3 DIFFERENCES DUE TO LACK OF EDUCATION 266. On the average (negroes/blacks/African-Americans) have worse jobs, income, and housing than white people. Do you think these differences are: c. Because most (negroes/blacks/African-Americans) 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: 1/1311 ________________________________________________________________________ RACDIF4 DIFFERENCES DUE TO LACK OF WILL 266. On the average (negroes/blacks/African-Americans) have worse jobs, income, and housing than white people. Do you think these differences are: d. Because most (negroes/blacks/African-Americans) just don't have the motivation or willpower 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: 1/1312 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 474 SALFERGT SALIENCE, WOMENS RIGHTS 237. How often would you say that you and your friends think about topics we've been discussing during the interview? a. Women's rights 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: 1/1313 ________________________________________________________________________ SALLABOR SALIENCE, LABOR LEADERS 237. How often would you say that you and your friends think about topics we've been discussing during the interview? b. The people running organized labor? 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: 1/1314 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 475 SALSATFN SALIENCE, FINANCIAL SATISFACTION 237. How often would you say that you and your friends think about topics we've been discussing during the interview? c. Satisfaction with their present financial situation. 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: 1/1315 ________________________________________________________________________ SALABORT SALIENCE, ABORTION LAWS 237. How often would you say that you and your friends think about topics we've been discussing during the interview? d. Laws about abortions. 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: 1/1316 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 476 SALSCI SALIENCE, SCIENTIFIC COMMUNITY 237. How often would you say that you and your friends think about topics we've been discussing during the interview? e. The scientific community. 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: 1/1317 ________________________________________________________________________ DIVORCE5 DIVORCED IN LAST 5 YRS 268. 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/columns: 1/1318-1319 ________________________________________________________________________ DIVREL1 RELATIVES DIVORCED IN LAST YEAR 269a. Number of relatives divorced last year. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/columns: 1/1320-1321 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 477 DIVREL4 RELATIVES DIVORCED BETWEEN 5 1 YRS AGO 269b. Number of relatives divorced during previous four years. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/columns: 1/1322-1323 ________________________________________________________________________ UNEMP5 UNEMPLOYED IN LAST 5 YRS 270. 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/columns: 1/1324-1325 ________________________________________________________________________ UNREL1 RELATIVES UNEMPLOYED IN LAST YR 271a. Number of relatives unemployed duriung last year. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/columns: 1/1326-1327 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 478 UNREL4 RELATIVES UNEMP BETWEEN 5 1 YRS AGO 271b. Number of relatives unemployed during previous four years. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/columns: 1/1328-1329 ________________________________________________________________________ HOSDIS5 HOSPITALIZED, DISABLED LAST 5 YRS 272. 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/columns: 1/1330-1331 ________________________________________________________________________ HOSREL1 RELS HOSPITALIZED IN LAST YEAR 273a. Number of relatives hospitalized/disabled last year. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/columns: 1/1332-1333 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 479 HOSREL4 RELS HOSPITALIZED BETW 5 1 YRS AGO 273b. Number of relatives hospitalized/disabled during previous four years. VALUE LABEL -1 NAP Data type: numeric Missing-data code: -1 Record/columns: 1/1334-1335 ________________________________________________________________________ DEATH5 RELATIVES DIED IN LAST 5 YRS 274a. 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/columns: 1/1336-1337 ________________________________________________________________________ DEATH16 RELATIVES DIED SINCE AGE 16 274b. 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/columns: 1/1338-1339 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 480 PADEATH DEATH OF FATHER 275a. 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/columns: 1/1340-1341 ________________________________________________________________________ MADEATH DEATH OF MOTHER 275b. 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/columns: 1/1342-1343 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 481 CHLDDTH DEATH OF CHILD 275c. 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/columns: 1/1344-1345 ________________________________________________________________________ SIBDEATH DEATH OF SIBLING 275d. 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/columns: 1/1346-1347 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 482 SPDEATH DEATH OF SPOUSE 275e. 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/columns: 1/1348-1349 ________________________________________________________________________ TRAUMA1 TRAUMA SCALE, LAST YEAR 276a. Number of traumatic events (deaths, divorces, unemployment, and hospitalizations-disabilities) happening to respondent last year. VALUE LABEL -1 NAP 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/1350-1351 ________________________________________________________________________ TRAUMA5 TRAUMA SCALE, LAST 5 YEARS 276b. Number of traumatic events (deaths, divorces, unemployment, and hospitalizations-disabilities) happening to respondent during last five years. VALUE LABEL -1 NAP 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/1352-1353 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 483 TRAREL1 TRAUMA OF RELATIVES, LAST YEAR 277a. Number of traumatic events (divorces, unemployment, hospitalizations/disabilities) happening to respondent's relatives last year. VALUE LABEL -1 NAP 9 NA Data type: numeric Missing-data codes: -1,9 Record/columns: 1/1354-1355 ________________________________________________________________________ TRAREL5 TRAUMA OF RELATIVES, LAST 5 YRS 277b. Number of traumatic events (divorces, unemployment, 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/columns: 1/1356-1357 ________________________________________________________________________ TRATOT1 TRAUMA LAST YEAR, SELF RELATIVES 278a. 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/columns: 1/1358-1359 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 484 TRATOT5 TRAUMA LAST 5 YRS, SELF RELATIVES 278b. 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/columns: 1/1360-1361 ________________________________________________________________________ DEFSPDR DEFENSE SPENDING--RS POSITION 279. 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 poeple are at the other end, at point 7. a. 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/columns: 1/1362-1363 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 485 DEFSPDFG DEFENSE SPENDING--GOVT POSITION 279. 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 poeple are at the other end, at point 7. b. 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/columns: 1/1364-1365 ________________________________________________________________________ HLPMINR HELP MINORITIES--RS POSITION 280. 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.) a. 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/columns: 1/1366-1367 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 486 HLPMINFG HELP MINORITIES--GOVT POSITION 280. 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.) b. 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/columns: 1/1368-1369 ________________________________________________________________________ CUTSPDR CUT GOVT SPENDING--RS POSITION 281. Some people think the government should provide fewer services, even in areas such as health and education, in order to reduce spending. (1 on the scale) Other people feel it is important for the government to continue the services it now provides even if it means no reduction in spending. (7 on the scale) a. Where would you place yourself on this scale, or havne'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/columns: 1/1370-1371 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 487 CUTSPDFG CUT GOVT SPENDING--GOVT POSITION 281. Some people think the government should provide fewer services, even in areas such as health and education, in order to reduce spending. (1 on the scale) Other people feel it is important for the government to continue the services it now provides even if it means no reduction in spending. (7 on the scale) b. 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/columns: 1/1372-1373 ________________________________________________________________________ IMPFAM FAMILY AND CHILDREN 282. On these cards are various aspects 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 teh 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: 1/1374 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 488 IMPWORK CAREER AND WORK 282. On these cards are various aspects 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 teh 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. 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: 1/1375 ________________________________________________________________________ IMPRELAX FREE TIME AND RELAXATION 282. On these cards are various aspects 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 teh 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. 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: 1/1376 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 489 IMPFREND FRIENDS AND ACQUAINTANCES 282. On these cards are various aspects 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 teh 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. 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: 1/1377 ________________________________________________________________________ IMPKIN RELATIVES 282. On these cards are various aspects 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 teh 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. 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: 1/1378 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 490 IMPCHURH RELIGION AND CHURCH 282. On these cards are various aspects 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 teh 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. 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: 1/1379 ________________________________________________________________________ IMPPOL POLITICS AND PUBLIC LIFE 282. On these cards are various aspects 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 teh 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. 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: 1/1380 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 491 PRIVACY IS R CONCERNED ABOUT PRIVACY? 283. How concerned are you about threats to your personal privacy in America today? 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: 1/1381 ________________________________________________________________________ CIVIC DOES R FOLLOW PUBLIC AFFAIRS? 284. 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: 1/1382 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 492 RUSHED HOW OFTEN R FEELS RUSHED 285. 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: 1/1383 ________________________________________________________________________ BORED HOW OFTEN DOES R HAVE EXTRA TIME 285a. If sometimes or never: How often would you say you have time on your hands that you don't know what to do with? 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: 1/1384 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 493 POLLGOOD DO SURVEYS SERVE GOOD PURPOSE 286. 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: 1/1385 ________________________________________________________________________ POLLTRUE TRUST RESULTS OF SURVEYS 287. 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: 1/1386 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 494 FESERVE MANDATORY CONSCRIPTION FOR FEMALES? 288a. 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: 1/1387 ________________________________________________________________________ MESERVE MANDATORY CONSCRIPTION FOR MALES? 288b. 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: 1/1388 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 495 TAXSERVE FAVOR CONSCRIPTION GIVEN TAXES? 288c. 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: 1/1389 ________________________________________________________________________ MILQUAL QUALITY OF PERSONS IN MILITARY 289a. How would you rate the quality of the men and women now serving in the armed forces? 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: 1/1390 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 496 MILPAY PAY AND BENEFITS FOR MILITARY PERSONNEL 289b. How do you feel about the pay and benefits that people in the armed forces receive? 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: 1/1391 ________________________________________________________________________ FENUMOK NUMBER OF WOMEN IN MILITARY 289c. 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: 1/1392 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 497 HINUMOK NUMBER OF HISPANICS IN MILITARY 289d. 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: 1/1393 ________________________________________________________________________ BLNUMOK NUMBER OF BLACKS IN MILITARY 289e. 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: 1/1394 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 498 HINUMOKY NUMBER HISPANICS IN MILITARY-VERSION Y 290a. 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: 1/1395 ________________________________________________________________________ BLNUMOKY NUMBER OF BLACKS IN MILITARY-VERSION Y 290b. At the present time, about 33 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: 1/1396 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 499 MILVOLOK HOW WELL HAS VOLUNTEER MILITARY WORKED? 291. 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: 1/1397 ________________________________________________________________________ FIGHTAIR WOMEN AS JET FIGHTER PILOTS 292. 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: 1/1398 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 500 MECHANIC WOMEN AS TRUCK MECHANIC 292. 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. 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: 1/1399 ________________________________________________________________________ NURSE WOMEN AS NURSES IN COMBAT ZONE 292. 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. 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: 1/1400 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 501 TYPIST WOMEN AS TYPIST IN PENTAGON 292. 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. 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: 1/1401 ________________________________________________________________________ BRASS WOMEN IN COMMAND OF MILITARY BASES 292. 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. 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: 1/1402 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 502 FIGHTLND WOMEN IN HAND-TO-HAND COMBAT 292. 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. 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: 1/1403 ________________________________________________________________________ TRANSAIR WOMEN AS JET TRANSPORT PILOT 292. 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. 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: 1/1404 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 503 GUNNER WOMEN AS AIR DEFENSE GUNNER IN U.S. 292. 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. 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: 1/1405 ________________________________________________________________________ FIGHTSEA WOMEN AS CREW MEMBER OF COMBAT SHIP 292. 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. 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: 1/1406 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 504 FEFIGHT ARE WOMEN ASSIGNED TO COMBAT 293a. 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: 1/1407 ________________________________________________________________________ FEDIRTY ARE WOMEN ASSIGNED TO DIRTY JOBS 293b. 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: 1/1408 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 505 FEBRASS DO WOMEN COMMAND OVER MEN 293c. 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: 1/1409 ________________________________________________________________________ FEHLPMIL DO WOMEN RAISE EFFECTIVENESS OF MILITARY 294. 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 of women has raised the effectiveness of our armed forces, has it made no difference, or has it made our armed forces less effective? 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: 1/1410 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 506 DRAFT RETURN TO THE DRAFT? 295. 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: 1/1411 ________________________________________________________________________ DRAFTFE IF RETURN TO DRAFT, DRAFT WOMEN? 295a. If draft: If 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: 1/1412 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 507 DRAFTEM IF EMERGENCY, RETURN TO DRAFT? 295b. 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: 1/1413 ________________________________________________________________________ DRAFTFEM IF EMERGENCY, DRAFT WOMEN ALSO? 295c. If draft on b: 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: 1/1414 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 508 DRAFTCOL COLLEGE STUDENTS EXEMPT FROM DRAFT? 296. If the United States returned to a military draft, it woudl not be necessary 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: 1/1415 ________________________________________________________________________ DRAFTMAR MARRIED PERSONS EXEMPT FROM DRAFT? 296. If the United States returned to a military draft, it woudl not be necessary to draft everyone of military age. That is, certain types of people could be exempted, even though they were otherwise qualified for service. 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: 1/1416 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 509 DRAFTPAR PARENTS OF SMALL CHLDRN EXEMPT FRM DRAFT 296. If the United States returned to a military draft, it woudl not be necessary to draft everyone of military age. That is, certain types of people could be exempted, even though they were otherwise qualified for service. 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: 1/1417 ________________________________________________________________________ DRAFTGAY GAYS EXEMPT FROM DRAFT? 296. If the United States returned to a military draft, it woudl not be necessary to draft everyone of military age. That is, certain types of people could be exempted, even though they were otherwise qualified for service. 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: 1/1418 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 510 DRAFTCO CONSCIENTIOUS OBJECTOR EXEMPT FROM DRAFT 296. If the United States returned to a military draft, it woudl not be necessary to draft everyone of military age. That is, certain types of people could be exempted, even though they were otherwise qualified for service. 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: 1/1419 ________________________________________________________________________ DRAFTDEF DEFENSE OCCUPATIONS EXEMPT FROM DRAFT? 296. If the United States returned to a military draft, it woudl not be necessary to draft everyone of military age. That is, certain types of people could be exempted, even though they were otherwise qualified for service. 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: 1/1420 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 511 VETFAM FAMILY MEMBERS SERVED IN ARMED FORCES? 297. 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: 1/1421 ________________________________________________________________________ VETFAMNW ANY FAMILY MEMBERS IN ARMED FORCES NOW 297a. 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: 1/1422 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 512 MINMILOP MIN OPPORTUNITIES BETTER IN MILITARY? 298a. Thinking about opportunities and equal treatment for 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: 1/1423 ________________________________________________________________________ FEMILOP FEM OPPORTUNITIES BETTER IN MILITARY? 298b. And what about women? Would you say that their treatment and opportunities are better in teh 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: 1/1424 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 513 COPUNISH PUNISH DRAFT RESISTERS? 299. 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: 1/1425 ________________________________________________________________________ COJAIL JAIL DRAFT RESISTERS? 299a. If yes: If a young man refuses to register for the draft, would you aprove 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: 1/1426 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 514 MILOKME MILITARY SERVICE GOOD EXPERIENCE FOR MEN 300a. 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: 1/1427 ________________________________________________________________________ MILOKFE MIL SERVICE GOOD EXPERIENCE FOR WOMEN 300b. 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: 1/1428 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 515 UPGRADE REFUSE VOLS WITH NO BASIC SKILLS? 301. 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 accept 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: 1/1429 ________________________________________________________________________ JOBTRAIN OBLIGATION TO TRAIN FOR CIVILIAN JOBS? 302. 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: 1/1430 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 516 NUKEWAR POSSIBILITY OF AN ALL-OUT ATOMIC WAR 303. I'm going to read you some possible military solutions 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 these 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. a. An all-out atomic war? 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: 1/1431 ________________________________________________________________________ LANDWAR POSSIBILITY OF A CONVENTIONAL GROUND WAR 303. I'm going to read you some possible military solutions 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 these 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. b. A conventional ground war involving thousands of troops? 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: 1/1432 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 517 MORENUKE POSSIBILITY OF INCREASING ARMS RACE 303. I'm going to read you some possible military solutions 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 these 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. c. Peace but increasing arms build by the U.S. and Russia? 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: 1/1433 ________________________________________________________________________ LESSNUKE POSSIBILITY OF REDUCING ATOMIC WEAPONS 303. I'm going to read you some possible military solutions 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 these 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. d. An agreement with the Russians to reduce atomic arms by both sides? 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: 1/1434 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 518 NONUKE POSSIBILITY ELIMINATING ATOMIC WEAPONS 303. I'm going to read you some possible military solutions 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 these 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. e. Elimination of atomic weapons by both U.S. and Russia? 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: 1/1435 ________________________________________________________________________ GUERILLA POSSIBILITY OF GUERILLA WARS 303. I'm going to read you some possible military solutions 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 these 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. f. Repeated guerilla wars against left wing rebels? 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: 1/1436 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 519 VETAID ANY IN HH RECEIVE MIL OR VET BENEFITS 304. 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: 1/1437 ________________________________________________________________________ DEFWRKEV EVER WORK FOR MILITARY SUPPLIER? 305. 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: 1/1438 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 520 DEFWRKNW CURRENTLY WORK FOR MILITARY SUPPLIER? 305a. 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: 1/1439 ________________________________________________________________________ MILWRKEV EVER WORK FOR MILITARY OR DOD? 306. 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: 1/1440 ________________________________________________________________________ MILWRKNW CURRENTLY WORK FOR MILITARY OR DOD? 306a. 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: 1/1441 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 521 RESDEFWK LOCAL ECONOMY DEPENDS ON DEFENSE WORK? 307. 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: 1/1442 ________________________________________________________________________ OBVOTE OBLIGATION--VOTING IN ELECTIONS 308. 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: 1/1443 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 522 OBVOL OBLIGATION--COMMUNITY SERVICE 308. 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. 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: 1/1444 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 523 OBJURY OBLIGATION--JURY DUTY 308. 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. 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: 1/1445 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 524 OB911 OBLIGATION--REPORTING A CRIME 308. 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. 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: 1/1446 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 525 OBENG OBLIGATION--BEING ABLE TO SPEAK ENGLISH 308. 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. 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: 1/1447 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 526 OBKNOW OBLIGATION--KEEPING INFORMED 308. 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. 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: 1/1448 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 527 OBMEPAX OBLIGATION--PEACETIME MIL SERVICE-MEN 308. 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. 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: 1/1449 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 528 OBMEWAR OBLIGATION--WARTIME MIL SERVICE-MEN 308. 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. 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: 1/1450 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 529 OBFEPAX OBLIGATION--PEACETIME MIL SERVICE-FEMALE 308. 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. i. For young women, serving in the military during peactime? 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: 1/1451 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 530 OBFEWAR OBLIGATION--WARTIME MIL SERVICE-FEMALE 308. 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. 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: 1/1452 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 531 HELPPOOR SHOULD GOVT IMPROVE STANDARD OF LIVING? 309. I'd like to talk with you about issues some people tell us are important. Please look at card BC. 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 itis not the government's responsibility, and that each person should take care of himself; they are at point 5. a. 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: 1/1453 ________________________________________________________________________ HELPNOT SHOULD GOVT DO MORE OR LESS? 310. Please look at card BD. Some people think that the government in Washington is trying to do too many things that should be left to individuals and private busienss; they are at point 5 on this card. Others disagree and think that the government should do even more to solve our country's problems; they are at point 1. a. 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: 1/1454 February 2, 2009 General Social Surveys, 1972-2006 [Cumulative File] Page 532 HELPSICK SHOULD GOVT HELP PAY FOR MEDICAL CARE? 311. Look at card BE. 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; they are at point 1. Others think that these matters are not the responsibility of the federal government and that people should take care of these things themselves; they are at point 5. a. Where would you place yourself on this scale, or haven't you made up your mind on this? 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: 1/1455 ________________________________________________________________________ HELPBLK SHOULD GOVT AID BLACKS? 312. Now look at card BF. Some people think that (blacks/negroes/African-Americans) have been discriminated against for so long that the government has a special obligation to help improve their living standards; they are at point 1. Others believe that the government should not be giving special treatment to (blacks/negroes/African-Americans); they are at point 5. a. Where would you place yourself on this scale, or haven't you made up your mind on this? 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: 1/1456 February 2, 2009