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                                     ~ ~ | | z z x x v v t t r r p p n n l l j j h h f f d d b b ` ` ^ ^ \ \ Z Z X X V V T T R R P P N N L L J J H H F F D D B B @ @ > > < < : : 8 8 6 6 4 4 2 2 0 0 . . , , * * ( ( & & $ $ " "                                                                                                                                                                   ~ ~ | | z z x x v v t t r r p p n n l l j j h h f f d d b b ` ` ^ ^ \ \ Z Z X X V V T T R R P P N N L L J J H H F F D D B B @ @ > > < < : : 8 8 6 6 4 4 2 2 0 0 . . , , * * ( ( & & $ $ " "                                                                                                                                                                   ~ ~ | | z z x x v v t t r r p p n n l l j j h h f f d d b b ` ` ^ ^ \ \ Z Z X X U     U U Ua Va VD Va s( Va  Ya  ua  a  a  a  a 9 a U a q ;a  Xa  ta  a  a  a  a 7 a S a p :a  Va  sa  a  a  a  a 6 a R a n 8a  Ua  qa  a  a  a  a 4 a P a m 7a  Sa  pa  a  a  a  a 3 a O a k 6a  RN  n2    U  a a a Ua U U V V V b c b  b  b  Fb # vb S b  b  b  6b  fb D b t b  b  'b  Wb 4 b d b  b  b  Gb % wb U b  b  b  8b  hb E b u b  b  (b  Xb 6 b f b  b h b Vb Vb  Vb  db  b  b G b w $b  Tb  b  b 7 b g b  Eb  ub  b ( b X b  5b  eb  b  b H b x %b  Ub  b  b 8 b h b  Fb  vb  b ) b Y b  6b  f    a Ua a    U Ua U'3 yP AContains Data for OPostscript Only.c%!PS-Adobe-2.0 EPSF-1.2 %%Creator: BGI by Borland International %%Title: BGI Graphics %%BoundingBox: 0 1 611 792 %***************************************************************** % File: preamble.bgi % Postscript preamble file for BGI Postscript driver % (c) Copyright 1989 Borland International % Last Update: 8-31-89 %***************************************************************** %%EndComments save /dic 12 dict def /RES { dic begin /cn exch def /new exch def /bf exch def /bd bf findfont def /fo bd maxlength dict def bd { exch dup /FID ne { dup /Encoding eq { exch dup length array copy fo 3 1 roll put } { exch fo 3 1 roll put } ifelse } { pop pop } ifelse } forall fo /FontName new put cn aload pop cn length 2 idiv { fo /Encoding get 3 1 roll put } repeat new fo definefont pop end } def /pcVector [ 16#00 /fraction 16#01 /currency 16#02 /guilsinglright 16#03 /fi 16#04 /fl 16#05 /lslash 16#07 /bullet 16#08 /bullet 16#09 /bullet 16#0a /bullet 16#0b /Aacute 16#0c /Acircumflex 16#0d /Agrave 16#0e /Atilde 16#0f /Ecircumflex 16#10 /Edieresis 16#11 /Egrave 16#12 /Iacute 16#13 /Icircumflex 16#14 /paragraph 16#15 /section 16#16 /Idieresis 16#17 /Igrave 16#18 /Oacute 16#19 /Ocircumflex 16#1a /Ograve 16#1b /Otilde 16#1c /Scaron 16#1d /Uacute 16#1e /Ucircumflex 16#1f /Ugrave 16#80 /Ccedilla 16#81 /udieresis 16#82 /eacute 16#83 /acircumflex 16#84 /adieresis 16#85 /agrave 16#86 /aring 16#87 /ccedilla 16#88 /ecircumflex 16#89 /edieresis 16#8a /egrave 16#8b /idieresis 16#8c /icircumflex 16#8d /igrave 16#8e /Adieresis 16#8f /Aring 16#90 /Eacute 16#91 /ae 16#92 /AE 16#93 /ocircumflex 16#94 /odieresis 16#95 /ograve 16#96 /ucircumflex 16#97 /ugrave 16#98 /ydieresis 16#99 /Odieresis 16#9a /Udieresis 16#9b /cent 16#9c /sterling 16#9d /yen 16#9f /florin 16#a0 /aacute 16#a1 /iacute 16#a2 /oacute 16#a3 /uacute 16#a4 /ntilde 16#a5 /Ntilde 16#a6 /ordfeminine 16#a7 /ordmasculine 16#a8 /questiondown 16#aa /threequarters 16#ab /onehalf 16#ac /onequarter 16#ad /exclamdown 16#ae /guillemotleft 16#af /guillemotright 16#d1 /Zcaron 16#d2 /atilde 16#d3 /otilde 16#d4 /scaron 16#d5 /zcaron 16#d6 /Ydieresis 16#f8 /ring ] def /OP { bgiFill 0 ne bgiRes 0 eq and bgiFill 1 eq or % 1 = SolidFill { 1 CurrentFill ne { level0 } if bgiFillColor % stack: (color) dup /CurrentColor exch def % set color bgiRes 1 eq { bgiGrayTable exch get setgray } { setbgicolor } ifelse }{ % stack: - 0 bgiFill eq % 0 = HollowFill { }{ bgiFill dup 15 gt { pop }{ % stack: bgiFill dup bgiRes 0 ne exch 9 ne and { level0 bgiPatTable exch get setpatterndict begin /bstring exch def /onbits 0 def /offbits 0 def %9.375 0 /spot load setscreen 18.75 0 /spot load setscreen {} settransfer offbits offbits onbits add div end setgray }{ pop level0 % for pattern 9 0.3 setgray } ifelse } ifelse } ifelse } ifelse /CurrentFill bgiFill def newpath } bind def /toStack { bgiMono bgiFill bgiColor bgiFillColor bgiSize bgiFont bgiAttrib bgiOrient bgiRes x0Clip y0Clip x1Clip y1Clip } def /fromStack { /y1Clip exch def /x1Clip exch def /y0Clip exch def /x0Clip exch def /bgiRes exch def /bgiOrient exch def /bgiAttrib exch def /bgiFont exch def /bgiSize exch def /bgiFillColor exch def /bgiColor exch def /bgiFill exch def /bgiMono exch def } def /level0 { toStack Memory0 restore fromStack /Memory0 save def newpath x0Clip y0Clip moveto x0Clip y1Clip lineto x1Clip y1Clip lineto x1Clip y0Clip lineto closepath clip newpath /Memory1 save def /CurrentFont -1 def /CurrentColor 0 def } def /CL { closepath dup 1 eq { DO } if dup 2 eq { gsave 0 CurrentFill ne % 0 = Hollow fill { fill } if grestore DO } if 3 eq { 0 CurrentFill ne % 0 = Hollow fill { fill } if } if } bind def /DO % draw outline { bgiMono false eq { % color printer bgiColor setbgicolor } { 0.0 setgray } ifelse stroke } def /setpatterndict 18 dict def /spot { 1 add 4 mul cvi exch 1 add 4 mul cvi /xbit exch def /ybit exch def bstring ybit xbit -3 bitshift add get 1 7 xbit 7 and sub bitshift and 0 ne { /onbits onbits 1 add def 1} { /offbits offbits 1 add def 0} ifelse } bind def /bgiFontTable [ [ /AvantGarde-Book -96 58 739] [ /AvantGarde-BookOblique -96 58 739] [ /AvantGarde-Demi -92 90 739] [ /AvantGarde-DemiOblique -92 90 39] [ /Bookman-Demi -121 106 725] [ /Bookman-DemiItalic -106 106 732] [ /Bookman-Light -125 60 717] [ /Bookman-LightItalic -110 60 717] [ /Courier -82 40 624] [ /Courier-Bold -85 100 674] [ /Courier-BoldOblique -85 100 674] [ /Courier-Oblique -82 40 624] [ /Helvetica -97 73 729] [ /Helvetica-Bold -106 73 729] [ /Helvetica-BoldOblique -106 105 729] [ /Helvetica-Oblique -106 73 729] [ /Helvetica-Narrow -97 73 729] [ /Helvetica-Narrow-Bold -106 73 729] [ /Helvetica-Narrow-BoldOblique -106 73 729] [ /Helvetica-Narrow-Oblique -97 73 729] [ /NewCenturySchlbk-Bold -103 106 737] [ /NewCenturySchlbk-BoldItalic -102 54 737] [ /NewCenturySchlbk-Italic -102 42 737] [ /NewCenturySchlbk-Roman -103 61 737] [ /Palatino-Bold -98 44 719] [ /Palatino-BoldItalic -98 54 726] [ /Palatino-Italic -138 50 733] [ /Palatino-Roman -141 38 723] [ /Symbol -98 54 720] [ /Times-Bold -99 95 670] [ /Times-BoldItalic -98 54 682] [ /Times-Italic -96 48 684] [ /Times-Roman -109 49 682] [ /ZapfChancery-MediumItalic -120 50 678] [ /ZapfDingbats -98 54 720] ] def /bgiPatTable [ <0000000000000000> <0102040810204080> <8142241818244281> <8000080080000800> <8800220088002200> <081c22c180010204> <0001020400402010> ] def /bgiGrayTable [ 1.00 0.11 0.59 0.70 0.30 0.41 0.40 1.00 0.50 0.40 0.73 0.80 0.53 0.60 0.93 0.00 ] def /bgiColorTable [ [1 1 1] % white [0 0 1] % blue [0 1 0] % green [0 1 1] % cyan [1 0 0] % red [1 0 1] [0.67 0.33 0] % brown [1 1 1] % white [0.9 0.9 0.9] % gray [0.33 0.33 1] % lightblue [0.33 1 0.33] % lightgreen [0.33 1 1] % lightcyan [1 0.33 0.33] % lightred [1 0.33 1] % lightmagenta [1 1 0.33] % yellow [0 0 0] % black [0.75 0.75 0.75] % gray (color 7 on color printers) ] def /MT /moveto load def /LT /lineto load def /CP /closepath load def /NP /newpath load def /SD /setdash load def /SG /setgray load def /TR /translate load def /LW /setlinewidth load def /DL { moveto lineto DO } bind def /TW { 20 div exch 20 div exch moveto 20 div exch 20 div exch lineto DO } bind def /TB { 20 div 4 1 roll 20 div 4 1 roll 20 div 4 1 roll 20 div 4 1 roll DB } bind def /SC { /y1Clip exch def /x1Clip exch def /y0Clip exch def /x0Clip exch def level0 } bind def /ellipsedict 12 dict def ellipsedict /mtrx matrix put /SA % stack: x y xrad yrad start delta { % add an arc to the current path ellipsedict begin /delta exch 60.0 div def /startangle exch 60.0 div def /yrad exch def /xrad exch def /y exch def /x exch def /endangle startangle delta add def /savematrix mtrx currentmatrix def x y translate xrad yrad scale 0 0 1 delta 0 gt {startangle endangle arc } {startangle endangle arcn} ifelse savematrix setmatrix end } bind def /DOARC % stack: x y xrad yrad start end { % add an arc to the current path ellipsedict begin /endangle exch def /startangle exch def bgiOrient 0 ne { exch } if /yrad exch def /xrad exch def /y exch def /x exch def /savematrix mtrx currentmatrix def x y translate xrad yrad scale 0 0 1 startangle endangle arc savematrix setmatrix end } bind def /FE % stack: x y xrad yrad for ellipse { gsave OP 0 360 DOARC 3 CL grestore DO } bind def /DB % stack: x1 y1 x0 y0 color { OP /y0 exch def /x0 exch def /y1 exch def /x1 exch def newpath x0 y0 moveto x0 y1 lineto x1 y1 lineto x1 y0 lineto 3 CL } bind def /DF % stack: (attrib) (size) (font) { /bgiFont exch def /bgiSize exch def /bgiAttrib exch def } bind def /FP % stack: (fill #) { dup 15 le { /bgiFill exch def }{ pop } ifelse } bind def /CO { % stack: (color) (fill color) dup 15 le { /bgiFillColor exch def} {pop} ifelse dup 15 le { /bgiColor exch def} {pop} ifelse } bind def /ST % start text % stack: - { CurrentSize bgiSize ne CurrentFont bgiFont ne or { currentpoint toStack Memory1 restore fromStack moveto /Memory1 save def /CurrentColor 0 def bgiFont dup /CurrentFont exch def dup dup 8 ge exch 15 le and { dup 8 eq % courier { 0.93 } { dup 9 eq % courier-bold { 0.94 } { dup 11 eq % courier-bolditalic (1.02 expansion) { 0.95 } { dup 10 eq % courier-italic { 0.95 } { dup 12 eq % helvetica { 0.93 } { dup 13 eq % helvetica-bold { 0.96 } { dup 14 eq % helvetica-bolditalic { 0.93 } { dup 15 eq % helvetica-italic (1.02 expansion) { 0.96 } { 1 } ifelse } ifelse } ifelse } ifelse } ifelse } ifelse } ifelse } ifelse } { dup 32 eq % times-roman { 1 } { dup 29 eq % times-bold (1.02 expansion) { 0.95 } { dup 30 eq % times-boldoblique { 0.91 } { dup 31 eq %times-italic { 0.92 } { 1 % everything else } ifelse } ifelse } ifelse } ifelse } ifelse /CurrentCompress exch def bgiFontTable exch get % stack: [(font name) offset thick] dup 0 get % stack: array fontname exch dup 1 get /CurrentUnderlineOffset exch def dup 2 get /CurrentUnderlineThickness exch def 3 get /CurrentAscender exch bgiSize mul 1000.0 div def /thisFont pcVector RES /thisFont findfont bgiSize dup /CurrentSize exch def scalefont setfont } if % set the text color or gray scale bgiMono false eq { % color printer stack: color setbgicolor } { % mono printer 0 eq % stack: color { 1.0 setgray} { 0.0 setgray} ifelse } ifelse } bind def /setbgicolor { dup 7 eq bgiMono not and { pop 16 } if bgiColorTable exch get % stack: [r g b] dup 0 get % stack: [r g b] r exch dup 1 get % stack: r [rgb] g exch 2 get % stack: r g b setrgbcolor } bind def /SH % stack: string tdir rot justx justy { /justy exch def /justx exch def 90 mul /rot exch def 0 ne % tdir is on the stack % (this will move into driver) { /justx 2 def } if dup stringwidth pop CurrentCompress mul /sx exch def sx justx mul -0.5 mul justy 0 eq { 0 % baseline aligned } { justy 1 eq { CurrentAscender 2 div neg % center aligned } { CurrentAscender neg % top aligned } ifelse } ifelse % underlining gsave rot rotate rmoveto bgiAttrib 4 and 0 ne % true if underlined, false otherwise { currentpoint CurrentUnderlineOffset CurrentSize mul 1000.0 div add /yval exch def /xval exch def bshow xval yval moveto sx xval add yval lineto CurrentUnderlineThickness CurrentSize mul 1000.0 div setlinewidth stroke } { bshow } ifelse grestore } bind def /bshow { CurrentCompress 1 eq { show } { dup length /len exch def len 0 ne { dup stringwidth pop /wid exch def CurrentCompress wid mul % (factor * wid) wid sub % (factor * wid) - wid len div % stack: string per_char_amt exch 0 exch ashow } if } ifelse } bind def /colorsetup { % exchange colors 0 and 15 bgiColorTable 0 get % stack: [r g b] bgiColorTable 15 get exch bgiColorTable 0 put bgiColorTable 15 put } bind def % ---- initialization /CurrentFill 1 def /CurrentFont -1 def /CurrentSize -1 def /CurrentColor 15 def /bgiMono 0 def /bgiFill 1 def /bgiColor 15 def /bgiFillColor 15 def /bgiSize 10 def /bgiFont 1 def /bgiOrient 0 def /bgiRes 1 def /bgiAttrib 0 def 1.415 setmiterlimit 0.5 setlinewidth /Memory0 save def /Memory1 save def 0 0 moveto %%EndProlog 0 1 611 792 SC /bgiRes 1 def /bgiMono true def /bgiOrient 90 def 0 15 0 DF 0 0 611 791 SC 1 255 CO 24 24 587 767 SC 1 255 CO 90 84 MT 0 20 12 DF 90 84 MT 1 ST (EXAMPLE INFORMATION RETRIEVAL SHEET FOR IDP CLIENTS)0 1 0 2 SH 3 255 CO 3006 13974 3035 13974 TW 3035 13974 3282 13974 TW 3006 13285 3006 13974 TW 3006 13255 3006 13285 TW 3006 12566 3006 13255 TW 154 629 MT 0 12 32 DF 154 629 MT 1 ST ( File Info)0 1 0 2 SH 3006 12536 3006 12566 TW 3006 12536 3035 12536 TW 3006 12566 3035 12566 TW 3035 12536 3282 12536 TW 3035 12566 3282 12566 TW 3006 11727 3006 12536 TW 3006 11697 3006 11727 TW 3006 10888 3006 11697 TW 3006 10858 3006 10888 TW 3006 10049 3006 10858 TW 3006 10019 3006 10049 TW 3006 9210 3006 10019 TW 3006 9180 3006 9210 TW 3006 8252 3006 9180 TW 3006 8222 3006 8252 TW 3006 7293 3006 8222 TW 154 366 MT 154 366 MT 1 ST ( Rap Sheet Information: DOT to 1/31/91)0 1 0 2 SH 3006 7263 3006 7293 TW 3006 7263 3035 7263 TW 3006 7293 3035 7293 TW 3035 7263 3282 7263 TW 3035 7293 3282 7293 TW 3282 13974 3312 13974 TW 3312 13974 3559 13974 TW 3282 13285 3282 13974 TW 168 679 MT 168 679 MT 1 ST (8)0 1 0 2 SH 3282 13255 3282 13285 TW 3282 13255 3312 13255 TW 3312 13255 3559 13255 TW 3282 12566 3282 13255 TW 168 644 MT 168 644 MT 1 ST (7)0 1 0 2 SH 3282 12536 3282 12566 TW 3282 12536 3312 12536 TW 3282 12566 3312 12566 TW 3312 12536 3559 12536 TW 3312 12566 3559 12566 TW 3282 11727 3282 12536 TW 168 605 MT 168 605 MT 1 ST (6)0 1 0 2 SH 3282 11697 3282 11727 TW 3282 11697 3312 11697 TW 3312 11697 3559 11697 TW 3282 10888 3282 11697 TW 168 563 MT 168 563 MT 1 ST (5)0 1 0 2 SH 3282 10858 3282 10888 TW 3282 10858 3312 10858 TW 3312 10858 3559 10858 TW 3282 10049 3282 10858 TW 168 521 MT 168 521 MT 1 ST (4)0 1 0 2 SH 3282 10019 3282 10049 TW 3282 10019 3312 10019 TW 3312 10019 3559 10019 TW 3282 9210 3282 10019 TW 168 479 MT 168 479 MT 1 ST (3)0 1 0 2 SH 3282 9180 3282 9210 TW 3282 9180 3312 9180 TW 3312 9180 3559 9180 TW 3282 8252 3282 9180 TW 168 434 MT 168 434 MT 1 ST (2)0 1 0 2 SH 3282 8222 3282 8252 TW 3282 8222 3312 8222 TW 3312 8222 3559 8222 TW 3282 7293 3282 8222 TW 168 386 MT 168 386 MT 1 ST (1)0 1 0 2 SH 3282 7263 3312 7263 TW 3282 7293 3312 7293 TW 3312 7263 3559 7263 TW 3312 7293 3559 7293 TW 3559 13974 3559 14004 TW 3559 14004 3588 14004 TW 3588 13974 3835 13974 TW 3588 14004 3835 14004 TW 3559 13285 3559 13974 TW 3588 13285 3588 13974 TW 3559 13255 3559 13285 TW 3588 13255 3588 13285 TW 3559 13255 3588 13255 TW 3588 13255 3835 13255 TW 3559 12566 3559 13255 TW 3588 12566 3588 13255 TW 181 636 MT 181 636 MT 1 ST (Risk)0 1 0 2 SH 3588 12536 3835 12536 TW 3588 12566 3835 12566 TW 3559 11727 3559 12536 TW 3588 11727 3588 12536 TW 181 593 MT 181 593 MT 1 ST (Arrest)0 1 0 2 SH 3559 11697 3559 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5945 TW 3559 4656 3559 5945 TW 3588 4656 3588 5945 TW 3559 4626 3559 4656 TW 3588 4626 3588 4656 TW 3588 4626 3835 4626 TW 3559 1660 3559 4626 TW 3588 1660 3588 4626 TW 3559 1630 3559 1660 TW 3559 1630 3588 1630 TW 3588 1630 3835 1630 TW 3588 1660 3835 1660 TW 3835 13974 3865 13974 TW 3835 14004 3865 14004 TW 3865 13974 4112 13974 TW 3865 14004 4112 14004 TW 195 671 MT 195 671 MT 1 ST (Risk)0 1 0 2 SH 3835 13255 3865 13255 TW 3865 13255 4112 13255 TW 195 633 MT 195 633 MT 1 ST (Asses)0 1 0 2 SH 3835 12536 3865 12536 TW 3835 12566 3865 12566 TW 3865 12536 4112 12536 TW 3865 12566 4112 12566 TW 195 591 MT 195 591 MT 1 ST (Most S)0 1 0 2 SH 3835 11697 3865 11697 TW 3865 11697 4112 11697 TW 195 548 MT 195 548 MT 1 ST (Pers Cr)0 1 0 2 SH 3835 10858 3865 10858 TW 3865 10858 4112 10858 TW 195 505 MT 195 505 MT 1 ST (Prop Cr)0 1 0 2 SH 3835 10019 3865 10019 TW 3865 10019 4112 10019 TW 195 464 MT 195 464 MT 1 ST (Sub Ab)0 1 0 2 SH 3835 9180 3865 9180 TW 3865 9180 4112 9180 TW 195 417 MT 195 417 MT 1 ST (Number)0 1 0 2 SH 3835 8222 3865 8222 TW 3865 8222 4112 8222 TW 195 369 MT 195 369 MT 1 ST (Number)0 1 0 2 SH 3835 7263 3865 7263 TW 3835 7293 3865 7293 TW 3865 7263 4112 7263 TW 3865 7293 4112 7293 TW 195 314 MT 195 314 MT 1 ST (Date of)0 1 0 2 SH 3835 5945 3865 5945 TW 3865 5945 4112 5945 TW 195 249 MT 195 249 MT 1 ST (Date of)0 1 0 2 SH 3835 4626 3865 4626 TW 3865 4626 4112 4626 TW 195 84 MT 195 84 MT 1 ST ( CLIENT NAME)0 1 0 2 SH 3835 1630 3865 1630 TW 3835 1660 3865 1660 TW 3865 1630 4112 1630 TW 3865 1660 4112 1660 TW 4112 13974 4141 13974 TW 4112 14004 4141 14004 TW 4141 13974 4388 13974 TW 4141 14004 4388 14004 TW 209 669 MT 209 669 MT 1 ST (Score)0 1 0 2 SH 4112 13255 4141 13255 TW 4141 13255 4388 13255 TW 209 637 MT 209 637 MT 1 ST (O/N)0 1 0 2 SH 4112 12536 4141 12536 TW 4112 12566 4141 12566 TW 4141 12536 4388 12536 TW 4141 12566 4388 12566 TW 209 593 MT 209 593 MT 1 ST (F/M/P)0 1 0 2 SH 4112 11697 4141 11697 TW 4141 11697 4388 11697 TW 209 556 MT 209 556 MT 1 ST (Y/N)0 1 0 2 SH 4112 10858 4141 10858 TW 4141 10858 4388 10858 TW 209 514 MT 209 514 MT 1 ST (Y/N)0 1 0 2 SH 4112 10019 4141 10019 TW 4141 10019 4388 10019 TW 209 472 MT 209 472 MT 1 ST (Y/N)0 1 0 2 SH 4112 9180 4141 9180 TW 4141 9180 4388 9180 TW 209 420 MT 209 420 MT 1 ST (Arrests)0 1 0 2 SH 4112 8222 4141 8222 TW 4141 8222 4388 8222 TW 209 366 MT 209 366 MT 1 ST (Convicts)0 1 0 2 SH 4112 7263 4141 7263 TW 4112 7293 4141 7293 TW 4141 7263 4388 7263 TW 4141 7293 4388 7293 TW 209 314 MT 209 314 MT 1 ST (Termin)0 1 0 2 SH 4112 5945 4141 5945 TW 4141 5945 4388 5945 TW 209 254 MT 209 254 MT 1 ST (Birth)0 1 0 2 SH 4112 4626 4141 4626 TW 4141 4626 4388 4626 TW 4112 1630 4141 1630 TW 4112 1660 4141 1660 TW 4141 1630 4388 1630 TW 4141 1660 4388 1660 TW 4418 13974 4418 14004 TW 4388 14004 4418 14004 TW 4388 13285 4388 13974 TW 4418 13285 4418 13974 TW 4388 13255 4388 13285 TW 4418 13255 4418 13285 TW 4388 12566 4388 13255 TW 4418 12566 4418 13255 TW 4418 12536 4418 12566 TW 4388 11727 4388 12536 TW 4418 11727 4418 12536 TW 4388 11697 4388 11727 TW 4418 11697 4418 11727 TW 4388 10888 4388 11697 TW 4418 10888 4418 11697 TW 4388 10858 4388 10888 TW 4418 10858 4418 10888 TW 4388 10049 4388 10858 TW 4418 10049 4418 10858 TW 4388 10019 4388 10049 TW 4418 10019 4418 10049 TW 4388 9210 4388 10019 TW 4418 9210 4418 10019 TW 4388 9180 4388 9210 TW 4418 9180 4418 9210 TW 4388 8252 4388 9180 TW 4418 8252 4418 9180 TW 4388 8222 4388 8252 TW 4418 8222 4418 8252 TW 4388 7293 4388 8222 TW 4418 7293 4418 8222 TW 4418 7263 4418 7293 TW 4388 5975 4388 7263 TW 4418 5975 4418 7263 TW 4388 5945 4388 5975 TW 4418 5945 4418 5975 TW 4388 4656 4388 5945 TW 4418 4656 4418 5945 TW 4388 4626 4388 4656 TW 4418 4626 4418 4656 TW 4388 1660 4388 4626 TW 4418 1660 4418 4626 TW 4418 1630 4418 1660 TW 4388 1630 4418 1630 TW 4941 13974 4971 13974 TW 4971 13974 5218 13974 TW 4941 13285 4941 13974 TW 4941 13255 4941 13285 TW 4941 13255 4971 13255 TW 4971 13255 5218 13255 TW 4941 12566 4941 13255 TW 4941 12536 4941 12566 TW 4941 12536 4971 12536 TW 4941 12566 4971 12566 TW 4971 12536 5218 12536 TW 4971 12566 5218 12566 TW 4941 11727 4941 12536 TW 4941 11697 4941 11727 TW 4941 11697 4971 11697 TW 4971 11697 5218 11697 TW 4941 10888 4941 11697 TW 4941 10858 4941 10888 TW 4941 10858 4971 10858 TW 4971 10858 5218 10858 TW 4941 10049 4941 10858 TW 4941 10019 4941 10049 TW 4941 10019 4971 10019 TW 4971 10019 5218 10019 TW 4941 9210 4941 10019 TW 4941 9180 4941 9210 TW 4941 9180 4971 9180 TW 4971 9180 5218 9180 TW 4941 8252 4941 9180 TW 4941 8222 4941 8252 TW 4941 8222 4971 8222 TW 4971 8222 5218 8222 TW 4941 7293 4941 8222 TW 4941 7263 4941 7293 TW 4941 7263 4971 7263 TW 4941 7293 4971 7293 TW 4971 7263 5218 7263 TW 4971 7293 5218 7293 TW 4941 5975 4941 7263 TW 250 311 MT 250 311 MT 1 ST (25-Jan-89)0 1 0 2 SH 4941 5945 4941 5975 TW 4941 5945 4971 5945 TW 4971 5945 5218 5945 TW 4941 4656 4941 5945 TW 250 243 MT 250 243 MT 1 ST (21-Sep-68)0 1 0 2 SH 4941 4626 4941 4656 TW 4941 4626 4971 4626 TW 4971 4626 5218 4626 TW 4941 1660 4941 4626 TW 250 84 MT 250 84 MT 1 ST (xxxxx,JAMES)0 1 0 2 SH 4941 1630 4941 1660 TW 4941 1630 4971 1630 TW 4971 1630 5218 1630 TW 5218 13974 5248 13974 TW 5248 13974 5494 13974 TW 5218 13285 5218 13974 TW 5218 13255 5218 13285 TW 5218 13255 5248 13255 TW 5248 13255 5494 13255 TW 5218 12566 5218 13255 TW 5218 12536 5218 12566 TW 5218 12536 5248 12536 TW 5218 12566 5248 12566 TW 5248 12536 5494 12536 TW 5248 12566 5494 12566 TW 5218 11727 5218 12536 TW 5218 11697 5218 11727 TW 5218 11697 5248 11697 TW 5248 11697 5494 11697 TW 5218 10888 5218 11697 TW 5218 10858 5218 10888 TW 5218 10858 5248 10858 TW 5248 10858 5494 10858 TW 5218 10049 5218 10858 TW 5218 10019 5218 10049 TW 5218 10019 5248 10019 TW 5248 10019 5494 10019 TW 5218 9210 5218 10019 TW 5218 9180 5218 9210 TW 5218 9180 5248 9180 TW 5248 9180 5494 9180 TW 5218 8252 5218 9180 TW 5218 8222 5218 8252 TW 5218 8222 5248 8222 TW 5248 8222 5494 8222 TW 5218 7293 5218 8222 TW 5218 7263 5218 7293 TW 5218 7263 5248 7263 TW 5218 7293 5248 7293 TW 5248 7263 5494 7263 TW 5248 7293 5494 7293 TW 5218 5975 5218 7263 TW 264 313 MT 264 313 MT 1 ST (08-Jul-89)0 1 0 2 SH 5218 5945 5218 5975 TW 5218 5945 5248 5945 TW 5248 5945 5494 5945 TW 5218 4656 5218 5945 TW 264 243 MT 264 243 MT 1 ST (28-Feb-48)0 1 0 2 SH 5218 4626 5218 4656 TW 5218 4626 5248 4626 TW 5248 4626 5494 4626 TW 5218 1660 5218 4626 TW 264 84 MT 264 84 MT 1 ST (xxxxxx,MASON L)0 1 0 2 SH 5218 1630 5218 1660 TW 5218 1630 5248 1630 TW 5248 1630 5494 1630 TW 5494 13974 5524 13974 TW 5524 13974 5771 13974 TW 5494 13285 5494 13974 TW 5494 13255 5494 13285 TW 5494 13255 5524 13255 TW 5524 13255 5771 13255 TW 5494 12566 5494 13255 TW 5494 12536 5494 12566 TW 5494 12536 5524 12536 TW 5494 12566 5524 12566 TW 5524 12536 5771 12536 TW 5524 12566 5771 12566 TW 5494 11727 5494 12536 TW 5494 11697 5494 11727 TW 5494 11697 5524 11697 TW 5524 11697 5771 11697 TW 5494 10888 5494 11697 TW 5494 10858 5494 10888 TW 5494 10858 5524 10858 TW 5524 10858 5771 10858 TW 5494 10049 5494 10858 TW 5494 10019 5494 10049 TW 5494 10019 5524 10019 TW 5524 10019 5771 10019 TW 5494 9210 5494 10019 TW 5494 9180 5494 9210 TW 5494 9180 5524 9180 TW 5524 9180 5771 9180 TW 5494 8252 5494 9180 TW 5494 8222 5494 8252 TW 5494 8222 5524 8222 TW 5524 8222 5771 8222 TW 5494 7293 5494 8222 TW 5494 7263 5494 7293 TW 5494 7263 5524 7263 TW 5494 7293 5524 7293 TW 5524 7263 5771 7263 TW 5524 7293 5771 7293 TW 5494 5975 5494 7263 TW 278 311 MT 278 311 MT 1 ST (12-Jan-89)0 1 0 2 SH 5494 5945 5494 5975 TW 5494 5945 5524 5945 TW 5524 5945 5771 5945 TW 5494 4656 5494 5945 TW 278 243 MT 278 243 MT 1 ST (15-Sep-64)0 1 0 2 SH 5494 4626 5494 4656 TW 5494 4626 5524 4626 TW 5524 4626 5771 4626 TW 5494 1660 5494 4626 TW 278 84 MT 278 84 MT 1 ST (xxx,JESSE)0 1 0 2 SH 5494 1630 5494 1660 TW 5494 1630 5524 1630 TW 5524 1630 5771 1630 TW 5771 13974 5801 13974 TW 5801 13974 6047 13974 TW 5771 13285 5771 13974 TW 5771 13255 5771 13285 TW 5771 13255 5801 13255 TW 5801 13255 6047 13255 TW 5771 12566 5771 13255 TW 5771 12536 5771 12566 TW 5771 12536 5801 12536 TW 5771 12566 5801 12566 TW 5801 12536 6047 12536 TW 5801 12566 6047 12566 TW 5771 11727 5771 12536 TW 5771 11697 5771 11727 TW 5771 11697 5801 11697 TW 5801 11697 6047 11697 TW 5771 10888 5771 11697 TW 5771 10858 5771 10888 TW 5771 10858 5801 10858 TW 5801 10858 6047 10858 TW 5771 10049 5771 10858 TW 5771 10019 5771 10049 TW 5771 10019 5801 10019 TW 5801 10019 6047 10019 TW 5771 9210 5771 10019 TW 5771 9180 5771 9210 TW 5771 9180 5801 9180 TW 5801 9180 6047 9180 TW 5771 8252 5771 9180 TW 5771 8222 5771 8252 TW 5771 8222 5801 8222 TW 5801 8222 6047 8222 TW 5771 7293 5771 8222 TW 5771 7263 5771 7293 TW 5771 7263 5801 7263 TW 5771 7293 5801 7293 TW 5801 7263 6047 7263 TW 5801 7293 6047 7293 TW 5771 5975 5771 7263 TW 292 313 MT 292 313 MT 1 ST (19-Jul-90)0 1 0 2 SH 5771 5945 5771 5975 TW 5771 5945 5801 5945 TW 5801 5945 6047 5945 TW 5771 4656 5771 5945 TW 292 242 MT 292 242 MT 1 ST (14-Apr-67)0 1 0 2 SH 5771 4626 5771 4656 TW 5771 4626 5801 4626 TW 5801 4626 6047 4626 TW 5771 1660 5771 4626 TW 292 84 MT 292 84 MT 1 ST (xxxxxxx,HENRY L)0 1 0 2 SH 5771 1630 5771 1660 TW 5771 1630 5801 1630 TW 5801 1630 6047 1630 TW 6047 13974 6077 13974 TW 6077 13974 6324 13974 TW 6047 13285 6047 13974 TW 6047 13255 6047 13285 TW 6047 13255 6077 13255 TW 6077 13255 6324 13255 TW 6047 12566 6047 13255 TW 6047 12536 6047 12566 TW 6047 12536 6077 12536 TW 6047 12566 6077 12566 TW 6077 12536 6324 12536 TW 6077 12566 6324 12566 TW 6047 11727 6047 12536 TW 6047 11697 6047 11727 TW 6047 11697 6077 11697 TW 6077 11697 6324 11697 TW 6047 10888 6047 11697 TW 6047 10858 6047 10888 TW 6047 10858 6077 10858 TW 6077 10858 6324 10858 TW 6047 10049 6047 10858 TW 6047 10019 6047 10049 TW 6047 10019 6077 10019 TW 6077 10019 6324 10019 TW 6047 9210 6047 10019 TW 6047 9180 6047 9210 TW 6047 9180 6077 9180 TW 6077 9180 6324 9180 TW 6047 8252 6047 9180 TW 6047 8222 6047 8252 TW 6047 8222 6077 8222 TW 6077 8222 6324 8222 TW 6047 7293 6047 8222 TW 6047 7263 6047 7293 TW 6047 7263 6077 7263 TW 6047 7293 6077 7293 TW 6077 7263 6324 7263 TW 6077 7293 6324 7293 TW 6047 5975 6047 7263 TW 306 311 MT 306 311 MT 1 ST (18-Jan-90)0 1 0 2 SH 6047 5945 6047 5975 TW 6047 5945 6077 5945 TW 6077 5945 6324 5945 TW 6047 4656 6047 5945 TW 306 244 MT 306 244 MT 1 ST (21-Jun-67)0 1 0 2 SH 6047 4626 6047 4656 TW 6047 4626 6077 4626 TW 6077 4626 6324 4626 TW 6047 1660 6047 4626 TW 306 84 MT 306 84 MT 1 ST (xxxxxx, STANLEY)0 1 0 2 SH 6047 1630 6047 1660 TW 6047 1630 6077 1630 TW 6077 1630 6324 1630 TW 6324 13974 6354 13974 TW 6354 13974 6600 13974 TW 6324 13285 6324 13974 TW 6324 13255 6324 13285 TW 6324 13255 6354 13255 TW 6354 13255 6600 13255 TW 6324 12566 6324 13255 TW 6324 12536 6324 12566 TW 6324 12536 6354 12536 TW 6324 12566 6354 12566 TW 6354 12536 6600 12536 TW 6354 12566 6600 12566 TW 6324 11727 6324 12536 TW 6324 11697 6324 11727 TW 6324 11697 6354 11697 TW 6354 11697 6600 11697 TW 6324 10888 6324 11697 TW 6324 10858 6324 10888 TW 6324 10858 6354 10858 TW 6354 10858 6600 10858 TW 6324 10049 6324 10858 TW 6324 10019 6324 10049 TW 6324 10019 6354 10019 TW 6354 10019 6600 10019 TW 6324 9210 6324 10019 TW 6324 9180 6324 9210 TW 6324 9180 6354 9180 TW 6354 9180 6600 9180 TW 6324 8252 6324 9180 TW 6324 8222 6324 8252 TW 6324 8222 6354 8222 TW 6354 8222 6600 8222 TW 6324 7293 6324 8222 TW 6324 7263 6324 7293 TW 6324 7263 6354 7263 TW 6324 7293 6354 7293 TW 6354 7263 6600 7263 TW 6354 7293 6600 7293 TW 6324 5975 6324 7263 TW 320 307 MT 320 307 MT 1 ST (16-Mar-89)0 1 0 2 SH 6324 5945 6324 5975 TW 6324 5945 6354 5945 TW 6354 5945 6600 5945 TW 6324 4656 6324 5945 TW 320 243 MT 320 243 MT 1 ST (01-Feb-63)0 1 0 2 SH 6324 4626 6324 4656 TW 6324 4626 6354 4626 TW 6354 4626 6600 4626 TW 6324 1660 6324 4626 TW 320 84 MT 320 84 MT 1 ST (xxxxxxxx,JEFFERY)0 1 0 2 SH 6324 1630 6324 1660 TW 6324 1630 6354 1630 TW 6354 1630 6600 1630 TW 6600 13974 6630 13974 TW 6630 13974 6877 13974 TW 6600 13285 6600 13974 TW 6600 13255 6600 13285 TW 6600 13255 6630 13255 TW 6630 13255 6877 13255 TW 6600 12566 6600 13255 TW 6600 12536 6600 12566 TW 6600 12536 6630 12536 TW 6600 12566 6630 12566 TW 6630 12536 6877 12536 TW 6630 12566 6877 12566 TW 6600 11727 6600 12536 TW 6600 11697 6600 11727 TW 6600 11697 6630 11697 TW 6630 11697 6877 11697 TW 6600 10888 6600 11697 TW 6600 10858 6600 10888 TW 6600 10858 6630 10858 TW 6630 10858 6877 10858 TW 6600 10049 6600 10858 TW 6600 10019 6600 10049 TW 6600 10019 6630 10019 TW 6630 10019 6877 10019 TW 6600 9210 6600 10019 TW 6600 9180 6600 9210 TW 6600 9180 6630 9180 TW 6630 9180 6877 9180 TW 6600 8252 6600 9180 TW 6600 8222 6600 8252 TW 6600 8222 6630 8222 TW 6630 8222 6877 8222 TW 6600 7293 6600 8222 TW 6600 7263 6600 7293 TW 6600 7263 6630 7263 TW 6600 7293 6630 7293 TW 6630 7263 6877 7263 TW 6630 7293 6877 7293 TW 6600 5975 6600 7263 TW 333 309 MT 333 309 MT 1 ST (18-Oct-89)0 1 0 2 SH 6600 5945 6600 5975 TW 6600 5945 6630 5945 TW 6630 5945 6877 5945 TW 6600 4656 6600 5945 TW 333 244 MT 333 244 MT 1 ST (14-Jun-68)0 1 0 2 SH 6600 4626 6600 4656 TW 6600 4626 6630 4626 TW 6630 4626 6877 4626 TW 6600 1660 6600 4626 TW 333 84 MT 333 84 MT 1 ST (xxxxx,MATT)0 1 0 2 SH 6600 1630 6600 1660 TW 6600 1630 6630 1630 TW 6630 1630 6877 1630 TW 6877 13974 6907 13974 TW 6907 13974 7153 13974 TW 6877 13285 6877 13974 TW 6877 13255 6877 13285 TW 6877 13255 6907 13255 TW 6907 13255 7153 13255 TW 6877 12566 6877 13255 TW 6877 12536 6877 12566 TW 6877 12536 6907 12536 TW 6877 12566 6907 12566 TW 6907 12536 7153 12536 TW 6907 12566 7153 12566 TW 6877 11727 6877 12536 TW 6877 11697 6877 11727 TW 6877 11697 6907 11697 TW 6907 11697 7153 11697 TW 6877 10888 6877 11697 TW 6877 10858 6877 10888 TW 6877 10858 6907 10858 TW 6907 10858 7153 10858 TW 6877 10049 6877 10858 TW 6877 10019 6877 10049 TW 6877 10019 6907 10019 TW 6907 10019 7153 10019 TW 6877 9210 6877 10019 TW 6877 9180 6877 9210 TW 6877 9180 6907 9180 TW 6907 9180 7153 9180 TW 6877 8252 6877 9180 TW 6877 8222 6877 8252 TW 6877 8222 6907 8222 TW 6907 8222 7153 8222 TW 6877 7293 6877 8222 TW 6877 7263 6877 7293 TW 6877 7263 6907 7263 TW 6877 7293 6907 7293 TW 6907 7263 7153 7263 TW 6907 7293 7153 7293 TW 6877 5975 6877 7263 TW 347 308 MT 347 308 MT 1 ST (20-Apr-89)0 1 0 2 SH 6877 5945 6877 5975 TW 6877 5945 6907 5945 TW 6907 5945 7153 5945 TW 6877 4656 6877 5945 TW 347 241 MT 347 241 MT 1 ST (26-Mar-63)0 1 0 2 SH 6877 4626 6877 4656 TW 6877 4626 6907 4626 TW 6907 4626 7153 4626 TW 6877 1660 6877 4626 TW 347 84 MT 347 84 MT 1 ST (xxxxx,RICK)0 1 0 2 SH 6877 1630 6877 1660 TW 6877 1630 6907 1630 TW 6907 1630 7153 1630 TW 7153 13974 7183 13974 TW 7183 13974 7430 13974 TW 7153 13285 7153 13974 TW 7153 13255 7153 13285 TW 7153 13255 7183 13255 TW 7183 13255 7430 13255 TW 7153 12566 7153 13255 TW 7153 12536 7153 12566 TW 7153 12536 7183 12536 TW 7153 12566 7183 12566 TW 7183 12536 7430 12536 TW 7183 12566 7430 12566 TW 7153 11727 7153 12536 TW 7153 11697 7153 11727 TW 7153 11697 7183 11697 TW 7183 11697 7430 11697 TW 7153 10888 7153 11697 TW 7153 10858 7153 10888 TW 7153 10858 7183 10858 TW 7183 10858 7430 10858 TW 7153 10049 7153 10858 TW 7153 10019 7153 10049 TW 7153 10019 7183 10019 TW 7183 10019 7430 10019 TW 7153 9210 7153 10019 TW 7153 9180 7153 9210 TW 7153 9180 7183 9180 TW 7183 9180 7430 9180 TW 7153 8252 7153 9180 TW 7153 8222 7153 8252 TW 7153 8222 7183 8222 TW 7183 8222 7430 8222 TW 7153 7293 7153 8222 TW 7153 7263 7153 7293 TW 7153 7263 7183 7263 TW 7153 7293 7183 7293 TW 7183 7263 7430 7263 TW 7183 7293 7430 7293 TW 7153 5975 7153 7263 TW 361 310 MT 361 310 MT 1 ST (28-Jun-90)0 1 0 2 SH 7153 5945 7153 5975 TW 7153 5945 7183 5945 TW 7183 5945 7430 5945 TW 7153 4656 7153 5945 TW 361 240 MT 361 240 MT 1 ST (08-Nov-62)0 1 0 2 SH 7153 4626 7153 4656 TW 7153 4626 7183 4626 TW 7183 4626 7430 4626 TW 7153 1660 7153 4626 TW 361 84 MT 361 84 MT 1 ST (xxxxxxx,THOMAS L)0 1 0 2 SH 7153 1630 7153 1660 TW 7153 1630 7183 1630 TW 7183 1630 7430 1630 TW 7430 13974 7460 13974 TW 7460 13974 7706 13974 TW 7430 13285 7430 13974 TW 7430 13255 7430 13285 TW 7430 13255 7460 13255 TW 7460 13255 7706 13255 TW 7430 12566 7430 13255 TW 7430 12536 7430 12566 TW 7430 12536 7460 12536 TW 7430 12566 7460 12566 TW 7460 12536 7706 12536 TW 7460 12566 7706 12566 TW 7430 11727 7430 12536 TW 7430 11697 7430 11727 TW 7430 11697 7460 11697 TW 7460 11697 7706 11697 TW 7430 10888 7430 11697 TW 7430 10858 7430 10888 TW 7430 10858 7460 10858 TW 7460 10858 7706 10858 TW 7430 10049 7430 10858 TW 7430 10019 7430 10049 TW 7430 10019 7460 10019 TW 7460 10019 7706 10019 TW 7430 9210 7430 10019 TW 7430 9180 7430 9210 TW 7430 9180 7460 9180 TW 7460 9180 7706 9180 TW 7430 8252 7430 9180 TW 7430 8222 7430 8252 TW 7430 8222 7460 8222 TW 7460 8222 7706 8222 TW 7430 7293 7430 8222 TW 7430 7263 7430 7293 TW 7430 7263 7460 7263 TW 7430 7293 7460 7293 TW 7460 7263 7706 7263 TW 7460 7293 7706 7293 TW 7430 5975 7430 7263 TW 375 307 MT 375 307 MT 1 ST (09-Dec-88)0 1 0 2 SH 7430 5945 7430 5975 TW 7430 5945 7460 5945 TW 7460 5945 7706 5945 TW 7430 4656 7430 5945 TW 375 241 MT 375 241 MT 1 ST (24-Dec-60)0 1 0 2 SH 7430 4626 7430 4656 TW 7430 4626 7460 4626 TW 7460 4626 7706 4626 TW 7430 1660 7430 4626 TW 375 84 MT 375 84 MT 1 ST (xxxxxx,STEVEN)0 1 0 2 SH 7430 1630 7430 1660 TW 7430 1630 7460 1630 TW 7460 1630 7706 1630 TW 7706 13974 7736 13974 TW 7736 13974 7983 13974 TW 7706 13285 7706 13974 TW 7706 13255 7706 13285 TW 7706 13255 7736 13255 TW 7736 13255 7983 13255 TW 7706 12566 7706 13255 TW 7706 12536 7706 12566 TW 7706 12536 7736 12536 TW 7706 12566 7736 12566 TW 7736 12536 7983 12536 TW 7736 12566 7983 12566 TW 7706 11727 7706 12536 TW 7706 11697 7706 11727 TW 7706 11697 7736 11697 TW 7736 11697 7983 11697 TW 7706 10888 7706 11697 TW 7706 10858 7706 10888 TW 7706 10858 7736 10858 TW 7736 10858 7983 10858 TW 7706 10049 7706 10858 TW 7706 10019 7706 10049 TW 7706 10019 7736 10019 TW 7736 10019 7983 10019 TW 7706 9210 7706 10019 TW 7706 9180 7706 9210 TW 7706 9180 7736 9180 TW 7736 9180 7983 9180 TW 7706 8252 7706 9180 TW 7706 8222 7706 8252 TW 7706 8222 7736 8222 TW 7736 8222 7983 8222 TW 7706 7293 7706 8222 TW 7706 7263 7706 7293 TW 7706 7263 7736 7263 TW 7706 7293 7736 7293 TW 7736 7263 7983 7263 TW 7736 7293 7983 7293 TW 7706 5975 7706 7263 TW 389 310 MT 389 310 MT 1 ST (08-Jun-89)0 1 0 2 SH 7706 5945 7706 5975 TW 7706 5945 7736 5945 TW 7736 5945 7983 5945 TW 7706 4656 7706 5945 TW 389 243 MT 389 243 MT 1 ST (22-Sep-49)0 1 0 2 SH 7706 4626 7706 4656 TW 7706 4626 7736 4626 TW 7736 4626 7983 4626 TW 7706 1660 7706 4626 TW 389 84 MT 389 84 MT 1 ST (xxxxxxx,GEORGE)0 1 0 2 SH 7706 1630 7706 1660 TW 7706 1630 7736 1630 TW 7736 1630 7983 1630 TW 7983 13974 8013 13974 TW 8013 13974 8259 13974 TW 7983 13285 7983 13974 TW 7983 13255 7983 13285 TW 7983 13255 8013 13255 TW 8013 13255 8259 13255 TW 7983 12566 7983 13255 TW 7983 12536 7983 12566 TW 7983 12536 8013 12536 TW 7983 12566 8013 12566 TW 8013 12536 8259 12536 TW 8013 12566 8259 12566 TW 7983 11727 7983 12536 TW 7983 11697 7983 11727 TW 7983 11697 8013 11697 TW 8013 11697 8259 11697 TW 7983 10888 7983 11697 TW 7983 10858 7983 10888 TW 7983 10858 8013 10858 TW 8013 10858 8259 10858 TW 7983 10049 7983 10858 TW 7983 10019 7983 10049 TW 7983 10019 8013 10019 TW 8013 10019 8259 10019 TW 7983 9210 7983 10019 TW 7983 9180 7983 9210 TW 7983 9180 8013 9180 TW 8013 9180 8259 9180 TW 7983 8252 7983 9180 TW 7983 8222 7983 8252 TW 7983 8222 8013 8222 TW 8013 8222 8259 8222 TW 7983 7293 7983 8222 TW 7983 7263 7983 7293 TW 7983 7263 8013 7263 TW 7983 7293 8013 7293 TW 8013 7263 8259 7263 TW 8013 7293 8259 7293 TW 7983 5975 7983 7263 TW 403 313 MT 403 313 MT 1 ST (12-Jul-90)0 1 0 2 SH 7983 5945 7983 5975 TW 7983 5945 8013 5945 TW 8013 5945 8259 5945 TW 7983 4656 7983 5945 TW 403 241 MT 403 241 MT 1 ST (07-Mar-69)0 1 0 2 SH 7983 4626 7983 4656 TW 7983 4626 8013 4626 TW 8013 4626 8259 4626 TW 7983 1660 7983 4626 TW 403 84 MT 403 84 MT 1 ST (xxxxxxx, MARK L)0 1 0 2 SH 7983 1630 7983 1660 TW 7983 1630 8013 1630 TW 8013 1630 8259 1630 TW 8259 13974 8289 13974 TW 8289 13974 8536 13974 TW 8259 13285 8259 13974 TW 8259 13255 8259 13285 TW 8259 13255 8289 13255 TW 8289 13255 8536 13255 TW 8259 12566 8259 13255 TW 8259 12536 8259 12566 TW 8259 12536 8289 12536 TW 8259 12566 8289 12566 TW 8289 12536 8536 12536 TW 8289 12566 8536 12566 TW 8259 11727 8259 12536 TW 8259 11697 8259 11727 TW 8259 11697 8289 11697 TW 8289 11697 8536 11697 TW 8259 10888 8259 11697 TW 8259 10858 8259 10888 TW 8259 10858 8289 10858 TW 8289 10858 8536 10858 TW 8259 10049 8259 10858 TW 8259 10019 8259 10049 TW 8259 10019 8289 10019 TW 8289 10019 8536 10019 TW 8259 9210 8259 10019 TW 8259 9180 8259 9210 TW 8259 9180 8289 9180 TW 8289 9180 8536 9180 TW 8259 8252 8259 9180 TW 8259 8222 8259 8252 TW 8259 8222 8289 8222 TW 8289 8222 8536 8222 TW 8259 7293 8259 8222 TW 8259 7263 8259 7293 TW 8259 7263 8289 7263 TW 8259 7293 8289 7293 TW 8289 7263 8536 7263 TW 8289 7293 8536 7293 TW 8259 5975 8259 7263 TW 416 307 MT 416 307 MT 1 ST (01-Mar-90)0 1 0 2 SH 8259 5945 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11727 8812 12536 TW 8812 11697 8812 11727 TW 8812 11697 8842 11697 TW 8842 11697 9089 11697 TW 8812 10888 8812 11697 TW 8812 10858 8812 10888 TW 8812 10858 8842 10858 TW 8842 10858 9089 10858 TW 8812 10049 8812 10858 TW 8812 10019 8812 10049 TW 8812 10019 8842 10019 TW 8842 10019 9089 10019 TW 8812 9210 8812 10019 TW 8812 9180 8812 9210 TW 8812 9180 8842 9180 TW 8842 9180 9089 9180 TW 8812 8252 8812 9180 TW 8812 8222 8812 8252 TW 8812 8222 8842 8222 TW 8842 8222 9089 8222 TW 8812 7293 8812 8222 TW 8812 7263 8812 7293 TW 8812 7263 8842 7263 TW 8812 7293 8842 7293 TW 8842 7263 9089 7263 TW 8842 7293 9089 7293 TW 8812 5975 8812 7263 TW 444 309 MT 444 309 MT 1 ST (01-Sep-88)0 1 0 2 SH 8812 5945 8812 5975 TW 8812 5945 8842 5945 TW 8842 5945 9089 5945 TW 8812 4656 8812 5945 TW 444 247 MT 444 247 MT 1 ST (22-Jul-68)0 1 0 2 SH 8812 4626 8812 4656 TW 8812 4626 8842 4626 TW 8842 4626 9089 4626 TW 8812 1660 8812 4626 TW 444 84 MT 444 84 MT 1 ST (xxxxxx,BRIAN)0 1 0 2 SH 8812 1630 8812 1660 TW 8812 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A. 1. a.(1)(a) i) a) 1. 1. 1. 1. 1. 1. 1. 1.@@This is the final version of the CCCC Adult IDP evaluation report, prepared for printing on the Apple Laserwriter IINTX. Tables and figures have been included by inserting hard page breaks arround them, so this document is not suitable for flexible editing. If editing is necessary, edit the final version of the document without the tables and figures, and then bring in the tables and figures. @ @ @ @ @ @ @ @ @ * U 1 "" 1 !!x ddx i #i P['C[P# Clackamas County Community Corrections@  t !#I$ P['CP#Intensive Drug Program:@  f #H P['CVP#PROGRAM EVALUATION REPORT $(#(#p(#(#H !'#$@ @ @#H P['CVP# <=July 1991 @ @ @# P['C>P#  U 7Report prepared by: @ @  ] 6# P['C ,7 P#Annette Jolin, Ph.D.#  P['C>P# -? Department of Administration of Justice 4dPortland State University 5Portland, Oregon 97207 @ @  ]# 7# P['C ,7 P#Brian Stipak, Ph.D.#  P['C>P# / Department of Public Administration 4dPortland State University 5Portland, Oregon 97207@0(--- '#!0  W ?!˻  yxdddy  H  0 #g P['CP# Clackamas County Community Corrections Intensive Drug Program: Evaluation Report ?\" R #_ P['C P#> \# P['C>P#i8 TABLE OF CONTENTS ă #Dx\  PC#̊P#    XLIST OF TABLES p,"(#n 3 XLIST OF FIGURES p,"(#n 4 XEXECUTIVE SUMMARY p,"(#n 5 XDESCRIPTION OF INTENSIVE DRUG PROGRAM p,"(#n 6 XEVALUATION DESIGN p,"(#n 7 XX` ` 1. Overview ` p,"(#n 7 XX` ` 2. Data Sources ` p,"(#n 8 XX` ` 3. Comparison Groups ` p,"(#n 9 XX` ` 4. Measures of Program Outcomes ` p"(#n 10 XX` ` 5. Measures of PreExisting Group Differences ` p"(#n 11 XEVALUATION FINDINGS p"(#n 13 XX` ` 1. Changes in IDP Clients While in Program ` p"(#n 13 XX` ` 2. Comparison of Groups on Termination Success and Recidivism ` p"(#n 17 XX` ` 3. Possible Contaminating Differences in Comparison Groups ` p"(#n 22 XX` ` 4. Comparison of Groups Controlling for Differences ` p"(#n 25 XX` ` 5. Comparisons Using Clients Who Successfully Terminate ` p"(#n 30 XX` ` 6. Summary of Findings About Recidivism Rates ` p"(#n 30 XX` ` 7. Types of IDP Clients Who Successfully Terminate ` p"(#n 33 XX` ` 8. Cost Comparisons ` p"(#n 36 XX` ` 9. Other Considerations ` p"(#n 38 XAPPENDIX A: Eligibility Determination and Sampling Methods Used in Creating Comparison Groups p"(#n 40 XAPPENDIX B: Data Cleaning and Data Checking for Logical Consistency p"(#n 43 XAPPENDIX C: Computation of a Risk Assessment Score on a Common Scale from the Old and New Risk Assessment Instruments p"(#n 44 XAPPENDIX D: Example Client Information Retrieval Sheet and Instructions p"(#n 45 XREFERENCES p"(#n 48 &-J)J)  W # P['C>P#9 LIST OF TABLES Ѓ # q\  PC>bP#%Use list 1 for list of tables.%   XTable 1: IDP Clients' Recorded Drug Use at Program Entry and at Program Termination p"(#n 14 XTable 2: Changes in IDP Clients' Recorded Drug Use While in IDP Program p"(#n 16 XTable 3: IDP Clients' Employment Status at Program Entry and at Program Termination p"(#n 18 XTable 4: Program Termination Success: IDP, ESP, WR Program Clients p"(#n 20 XTable 5: Conviction and Arrest Statistics Since Termination from Program: IDP, ESP, WR Program Clients p"(#n 21 XTable 6: Offense Leading to Sentencing to Program: IDP, ESP, WR Program Clients p"(#n 23 XTable 7: Comparison of Client Characteristics: IDP, ESP, WR Program Clients p"(#n 24 XTable 8: Program Termination Success Rates and Recidivism Rates for Single, Male Substance Abusers: IDP, ESP, WR Program Clients p"(#n 26 XTable 9: Statistical Analysis of Recidivism (ReArrest) Using Logistic Regression Analysis: IDP, ESP, WR Program Clients p"(#n 28 XTable 10: Estimated Probabilities for ReArrest Based on Logistic Regression Analysis: IDP, ESP, and WR Clients p"(#n 29 XTable 11: Comparison of Recidivism for IDP Clients Who Successfully Terminate, IDP Clients Who Successfully Terminate and Complete Aftercare, and ESP and WR Clients Who Successfully Terminate p"(#n 31 XTable 12: Differences Between IDP Clients Who Successfully Terminate from the Program and Clients who Do Not Successfully Terminate p"(#n 34 XTable 13: Successful Program Termination Rates for Different Categories of IDP Clients p"(#n 35 XTable 14: Daily Costs per Offender: IDP and Other Sanctions p"(#n 37 XTable 15: Distribution of Client Risk Assessment Categories for the Treatment Group (IDP) Clients and Potential Comparison Group (ESP and WR) Populations p"(#n 42*(-J)J)  W #> P['C>P#p9 LIST OF FIGURES Ѓ #Dx\  PC#̊P#&Use list 2 for list of figures.&  ! XFigure 1: Changes in Recorded Drug Use of IDP Program Clients p"(#n 15 XFigure 2: ReArrest Rates of IDP Clients Compared to ESP and WR Clients: Comparisons Using Five Different Statistical Methods p"(#n 32 b-J)J)  W # P['C>P#цX` hp x (#%'0*,.8135@8:P#. DESCRIPTION OF INTENSIVE DRUG PROGRAM ă #Dx\  PC#̊P#  The Clackamas County Intensive OutPatient Drug Program (IDP) combines a clearly identified rehabilitative purpose with punishment (electronically enforced home confinement). The stated purpose is to offer "an outpatient program that provides intensive substance abuse treatment and intensive...supervision of clients in the  \k community" (Biennial Plan, 199193:14). The IDP program's goals are to reduce substance abuse, to stabilize offenders' lives sufficiently to ensure program completion,  \a and to reduce recidivism (Biennial Plan 19911993:10). The target population consists of male and female adult offenders whose substance abuse has led to failures in prior substance abuse programs or to probation/parole violations. The program intends to meet two basic needs of this group of offenders: 1)to provide them with structured living without incarceration, and 2)to treat their substance abuse problems. The primary methods for meeting these needs are aroundtheclock electronic surveillance, weekly treatment meetings, and drug and alcohol testing. Delivering these services involves the combined effort of two Clackamas County agencies: the Community Corrections Division and the Mental Health Division. The program consists of fourteen weeks of surveillance plus treatment, followed by fourteen weeks of aftercare. During the first fourteen week stage the offender moves through five levels of supervision/privileges, from most restrictive/no privileges to least restrictive/most privileges. The second fourteen week stage differs from the first stage by entailing no electronic surveillance and involving less frequent attendance at treatment meetings. Offenders who violate the rules while on the program will, according to the Biennial Plan (199193:12) "be dealt with as soon as possible and in a variety of ways depending on the severity, nature, and number of violations." Consequences range from increasing the number of drug tests per week, to loss of earned privileges, to ultimately returning the offender to jail. Other prominent features of the IDP program include a one to eight counselor/offender ratio, electronic surveillance combined with three weekly group counseling sessions, attendance at a minimum of two additional weekly selfhelp group meetings (e.g. Alcoholics Anonymous, Narcotics Anonymous, etc.), and routine drug and alcohol testing. Participants offset program costs by paying a daily fee, and participants who are not employed must actively seek employment. #-J)J)  W # P['C>P# g8EVALUATION DESIGN ă #Dx\  PC#̊P#  1. Overview This evaluation uses two different approaches to evaluate the effectiveness of the IDP program. The first approach examines how IDP clients changed while they were in the IDP program. The second approach compares IDP clients to clients in two other Clackamas County Community Corrections (CCCC) programs. Since each of these evaluation approaches has both advantages and disadvantages, using both approaches together should provide better information on the performance of the IDP program. The first approach focuses on changes in IDP clients' substance abuse while in the IDP program, using data on clients' recorded drug use obtained from the Clackamas County Mental Health Division. This approach offers the advantage of focusing on client behavior that the IDP program was designed to change-substance abuse. The approach suffers from the limitations, however, of relying on data obtained during the narrow timeperiod of clients' program participation, and of lacking similar data from other client groups for comparison. The second approach focuses on recidivism of IDP clients compared to recidivism of clients in other CCCC offender programs. Data on rearrests and reconvictions of IDP program clients, as well as clients from the CCCC Electronic Surveillance Program (ESP) and the Work Release (WR) Program, were obtained through the Oregon Law Enforcement Data Systems (LEDS) computerized records. Using these data to compare IDP clients to offenders from other programs has the advantage of focusing on the potential impact of the IDP program in affecting criminal behavior after termination from the program. However, because the client groups in the other programs differ somewhat from IDP clients, these differences themselves could affect recidivism and need to be taken into account when making group comparisons. Because the second approach uses comparison groups differing somewhat in composition from IDP clients, several procedures were used in carrying out the evaluation to take those client differences into account. First, when samples of clients were drawn from the ESP and WR programs, a stratification or matching technique was used to make the ESP and WR client groups used for analysis as similar as possible to the IDP client group (See Appendix A). Second, when analyzing the data, comparisons were made for specific subgroups of clients, as well as for all of the clients. Finally, special statistical techniques were used for taking into account client characteristics when comparing the three program groups.  '-J)J)Ԍ2. Data Sources The data for this study come from three separate sources: 1)the State of Oregon Mental Health Division Client Progress Management System (CPMS), 2)the Clackamas County Community Corrections Division Probation (CCCCP) files, and 3)the Oregon Law Enforcement Data System (LEDS) computerized offender files. The Mental Health Division CPMS files contain information which is obtained from clients when they enter and exit mental health division treatment. The files contain demographic data as well as treatment related information. The Mental Health Division maintains CPMS data in computerized form for individual counties and on a statewide basis. At the request of the evaluators, the Clackamas County mental health staff made available a total of fiftysix IDPCPMS files. These files do not completely overlap with IDP/CCCCP files. Of the fiftysix IDPCPMS files, fortyeight pertained to clients used in the analysis of recidivism rates, and the remaining files involved IDP clients who had been terminated from the IDP program after the cutoff date for the recidivism analysis. The CCCC probation staff provided the evaluation team with data from the probation files for the IDP, ESP, and WR clients used in the analyses comparing the three programs. These data included the following client information that was used in the statistical analysis:  termination status from the program reason for unsuccessful termination (if applicable) offense committed leading to sentencing to program classification of offense leading to sentencing risk assessment instrument scale score substance abuser or not age marital status sex race employment status at program entry employment status at program termination The risk assessment scale score is a score assigned to each client using an instrument to assess the offender's likelihood of future criminal behavior. However, two versions of this scale were used over the period that the data used in the evaluation were generated: 1) a 038 scale with 38 indicating high risk, and 2) a 011 scale with 11 indicating a low risk. In order to eliminate this noncomparability for purposes of statistical analyses, both scales were transformed to a 0100 risk assessment scale, with 100 indicating a high risk (See Appendix C).'-J)J)ԌOregon Law Enforcement Data Systems maintains computerized crime related data on offenders in the State of Oregon. The evaluators obtained re-arrest and re-conviction data for the IDP, ESP and WR clients used in the recidivism analyses from this source. CCCC probation staff retrieved the necessary information using data retrieval forms and instructions prepared by the evaluation team (See Appendix D). After all data were collected, a variety of computerized checks were made on the data to identify inconsistencies and incorrect data (See Appendix B). Errors uncovered by these checks were corrected. 3. Comparison Groups The IDP recidivism analysis involved two comparison groups, clients from the Clackamas County Electronic Surveillance Program (ESP) and clients from the Clackamas County Work Release Program (WR). These programs, like the Intensive Drug Program, are administered by the Clackamas County Community Corrections Division and are operated by the Probation Department's Residential Services. Clients in the Electronic Surveillance Program are primarily sentenced and/or supervised Clackamas County adult offenders. Prospective ESP clients must agree to program rules, have a stable residence, and have a telephone. Clients' home confinement schedules are monitored electronically either through programmed contact or continuous signalling. Noncompliance with curfew regulations and other program rules, such as mandated counseling and abstinence from drugs or alcohol, may result in a variety of  \j disciplinary actions including return to jail.jm S ԍThe Community Corrections Division publishes a Program Handbook which contains a detailed description of all ESP, IDP, and WR program specifications. Work Release clients, like IDP and ESP clients, are primarily sentenced and/or supervised Clackamas County adult offenders. Clients on WR reside in the Clackamas County Residential Center. They are authorized to leave for purposes of work, counseling sessions, medical treatment, and limited other reasons. Otherwise, WR clients are under continuous correctional staff supervision. Thus, the WR program is more restrictive than either the ESP or the IDP programs.  Clients used in the evaluation's analysis of comparison groups were limited to a specific time period of program participation. Because participation in the IDP program began on July 26, 1988, only clients entering their program on or after that date were used for this analysis. In order to allow for a minimum six month period between program"$ B-J)J) termination and the collection of the recidivism data, only clients terminated from their program no later than July 31, 1990 were used in this analysis. Therefore, client eligibility for inclusion in the evaluation's analysis of comparison groups was restricted to clients entering and terminating their program between July 26, 1988 and July 31, 1990, respectively. This resulted in the following total number of eligible clients: IDP program, 70; ESP program, 390; WR program, 331. Because of the necessity to limit the amount of additional effort to collect recidivism data, 100 clients from the list of eligibles for each of the two comparison programs were sampled, resulting in total client group sizes for the comparison analyses of 70, 100, and 100 for IDP, ESP, and WR, respectively. The sampling was carried out using a stratified random sampling procedure that implemented  \ matching on risk assessment categories. m SN ԍSee Appendix A for a description of the sampling procedures used in creating the comparison groups. 4. Measures of Program Outcomes The Intensive Drug Treatment Program has three general goals: 1) to reduce substance abuse, 2) to ensure successful program completion, and 3) to reduce recidivism. The evaluation examines measures of program outcomes corresponding to each of these goals. Changes in substance abuse behavior are recorded in Mental Health Division treatment files. The Mental Health Division uses standard statewide Client Performance Management System (CPMS) forms to document substance abuse at program entry and exit. Other measures of substance use come from Community Corrections files which record substance abuse related program violations. Rearrest and reconviction records constitute an additional indicator of substance use. The Community Corrections Division maintains computerized records on the type of termination for each client. These records include the termination status (program completion, program violation, abscond, etc.) and, for terminations due to violations, the type of violation. Violations can involve infractions against treatment provisions, such as drug use, or disregarding home confinement rules. CCCC designates some types of program terminations as successful terminations and others as unsuccessful terminations. For IDP clients, successful terminations include finishing the first fourteen week electronic monitoring stage of the program, completing the amount of time sentenced, and others. Unsuccessful terminations include removal from program because of rule violations, removal because of committing a new crime, and others. Not all clients designated as(# h-J)J) successful terminations actually complete the full IDP treatment program including  \ aftercare.m S ԍOf the 64 IDP clients used in the recidivism analysis, 34 had successful program terminations, and 31 finished aftercare. Of the 34 successful program terminations, 27 finished aftercare. Recidivism is measured as rearrest and as reconviction. Rearrest data, as is well known, may exaggerate actual criminal conduct, and as such may inflate the actual risk posed by an offender group. Reconviction data on the other hand, may reflect peculiarities of the criminal justice system rather than offender guilt. Several authors (Petersilia and Turner, 1990; Maltz, 1984; Blumstein and Cohen, 1979) feel that arrest is a better indicator of offender conduct than conviction. The evaluation used Oregon Law Enforcement Data Systems (LEDS) computerized offender records to determine whether clients had come into contact with the criminal justice system since program termination. Because the data are from LEDS records, the recidivism data reflect re-offending in Oregon but not in other states.  5. Measures of PreExisting Group Differences As noted earlier, IDP, ESP and WR clients all are under the correctional jurisdiction of the Clackamas County Community Corrections Division. Sentencing judges deemed these clients suitable for serving their sentences in the community. In other words, they were judged to pose minimal, or at least acceptable, risks to society at large. However, in so far as Community Corrections offers programs which vary in restrictiveness and/or correctional focus, attendant differences may exist in client characteristics. To find out what differences do exist between clients in each of the three groups the evaluation examined information on a number of factors known or suspected to influence recidivism. Of these, several pertain to clients' criminal behavior while others concern relevant social demographic characteristics. Offense classification refers to the Oregon Penal Code misdemeanor and felony categories for those crimes that lead to the offenders' placement in the respective programs. Offense type identifies the crime as either drugrelated, alcoholrelated or nonsubstance abuse related. Past criminal and crime related information is reflected in a summary risk assessment score which is computed by CCCC staff for each client at intake. Its purpose is to rank clients' risk of reoffending. Since the agency changed risk assessment instruments about midway through the study period the two types of risk assessment scores were recomputed on the same 0-100 scale (see Appendix C). Substance abuse is recorded as either yes or no on the basis of client file notations, client selfreport or substance abuse related crime. Time at risk refers to months elapsed"$ @-J)J) between the client's termination from the program and the evaluation study cutoff date. The remaining offender characteristics such as age, marital status, race and employment status are selfexplanatory. -J)J)  W  1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.# P['C>P#  7EVALUATION FINDINGS ă #Dx\  PC#̊P#  1. Changes in IDP Clients While in Program The IDP treatment component mandates that clients attend three weekly group counseling sessions and two selfhelp meetings. They also must submit to a minimum of three scheduled weekly drug tests. Mental Health Division personnel who are primarily responsible for this part of the IDP program document client behavior at entry into the program and at termination from the program. The Mental Health Division's Client Performance Management System (CPMS) form serves as recording device. Table1 and Figure1 show recorded changes in client drug and alcohol use during the course of their participation in IDP. Based on records of 56 IDP clients, the percentage not using drugs changed from 5% at entry to 68% at termination. Likewise, though less dramatically, the percentage not using alcohol changed from 54% at entry to 80% at exit. When drug and alcohol use categories are combined, CPMS records indicate that at termination 59% of the IDP clients are either abstinent or drug free. This figure compares favorably with a statewide minimum outpatient treatment standard of 40% set by the Oregon Mental Health Division, as well as the state average of 45%. The finding that 59% of IDP clients are abstinent or drug free at termination coincides with the overall Clackamas County average for outpatient treatment. Table 2 provides a slightly different view of the same data. We see that between entry and exit from IDP, 75% of the clients reduce their drug use and 27% reduce their alcohol use. Combining the two categories, shows that 71% of the IDP clients with recorded drug and/or alcohol use at entry, have reduced their use at termination. This compares favorably with the state minimum standard of 55% and the state average of 58%. Again, the IDP "reductioninuse" finding differs little from the overall Clackamas County Mental Health outpatient drug treatment average of 69%. It appears that criminal clients who are maintained on electronically monitored house arrest while they undergo treatment show changes in drug and alcohol use patterns similar to noncriminal Clackamas County outpatient clients. Insofar as IDP clients have multiple problems, i.e. those which stem from their criminal behavior and those which stem from their substance abuse behavior, it may be fair to assume that they represent a more difficult population than the average drug treatment outpatient client. A CCMH report refers to the IDP clients as "previously seen as difficult and/or unworkable by the correction department and by drug treatment programs" (CCMH, 1989: 2). To underscore this point CPMS records show that 77% (44 of the 56) of IDP clients have multiple drug problems. Records indicate that 57% use two types of drugs and 21% more than two. Typical drug combinations include: heroin-alcohol-marijuana, cocaine-amphetamines-alcohol, amphetamines-cocaine, and' -J)J)  d =#H P['CVP#Table 1 @  n , # P['C) RP# IDP Clients' Recorded Drug Use at Program  na 0Entry and at Program Termination  $ T ddx!ddx= p T  @ P Xa` N P  #" W D #) P['C>P#Program  W EEntry " W [ Program  W Y"Termination @ P =  _ # P['C ,7 P# Drug Use * "G "^ M  UG #  P['C>P#1111No Use41 "Fl5% "]968%MM  1111Less than once a week41i "Fl2%i "]z0%MM  1111Once a week41"Fl0%"]911%MMi  1111Several times a week41"Fl7%"]z5%MM 1111Once a day41P"F+43%P"]z5%MM 111123 times a day41"F+39%"]z9%MP 1111Over 3 times a day41"Fl4% Cԩ E100%"]z2% Zԩ \100% ^  _ # P['C ,7 P# Alcohol Use "G"^M^  Uz #  P['C>P#1111No Use41O"F+54%O"]980%MM 1111Some Use41"Fl7%"]z2%MMO 1111Moderate Abuse41"Fl9%"]z5%MM 1111Serious Abuse416"F+18%6"]z7%MM 1111Moderate Addiction41"Fl5%"]z2%M6 1111Serious Addiction41  "Fl7% Cԩ E100%z!"]z4% Zԩ \100% ^`  F" #e P['C |P#11*Does not include alcohol use.P 1`q4"  N $ # 0y P['C, hXP#Number of Clients = 56qz# Source of Data: Clackamas County Mental Health Division, Client Process Monitoring System Recordsz%'-J)J)  d #,H P['CVP#<Figure 1ă  Figure 1  Figure 1   M # P['C-iP# 4!Changes in Recorded Drug  M 3Use of IDP Program Clients!  @  w @y! xw0 w?}5XXFIGURE1.PLTx<y @  J *#-o P['C/n&P# ` ` Source of Data: Clackamas County Mental Health Division, Client Process Monitoring System Records!-J)J)  d  ` `  =#/H P['CVP#Table 2 @  n 0[# P['C) RP#  Changes in IDP Clients' Recorded  na 2Drug Use While in IDP Program  * T!ddx= p AN ddx=  T z@ P% N P N P #" W G+ #) P['C>P#Percent #" W W Number @ P =  _ # P['C ,7 P# Drug Use * "J "Z #  Uq #  P['C>P# " "Less Frequent { "I75%{ "Yp42   " "No Change, NonUser  "IV5% "Z3{   " "No Change, User "I18%"Yp10+   " "More Frequent "IV2% Fԩ H100%%"Z1 Vԩ Yp56 Z+  _" # P['C ,7 P# Alcohol Use N"JN"Z  U #  P['C>P# " "Less Frequent "I27%"Yp15N  " "No Change, NonUser R"I54%R"Yp30  " "No Change, User "I18%"Yp10R  " "More Frequent `"IV2% Fԩ H100%j"Z1 Vԩ Yp56 ZP  Fw #e P['C |P# "*Does not include alcohol use. P  N # 0y P['C, hXP#Source of Data: Clackamas County Mental Health Division, Client Process Monitoring System Records ? -J)J)  \ N P Xa` #,Dx\  PC#̊P#amphetamines-cocaine-marijuana. The seriousness of this drug problem among IDP clients makes the large decrease (Tables1-2, Figure1) in recorded drug use of IDP clients appear more impressive. The IDP program design designates employment as an indicator of client  \ stabilization which is expected to be associated with successful program completion.W+) Sl ԍTables 12 and 13 show that this is indeed the case.W CPMS records of 56 IDP clients, as depicted in Table 3, show a full time employment rate of 64% at entry and 69% at exit. Changes in employment status were as follows: 18% of IDP clients showed improvements in employment status, 67% remained the same and for 15% of the group the employment picture worsened between entry and termination. A comparison of IDP clients and the general outpatient drug treatment population shows that the 18% employment improvement rate of IDP clients is just above the state minimum standard at 15%, below the state average at 28% and considerably below the CCMH average of 41%. However, when considering the IDP figures it is important to keep in mind that IDP clients have in effect two "strikes against them"-a criminal record and a substance abuse problem-and would therefore tend to have lower employment rates.  2. Comparison of Groups on Termination Success and Recidivism Whether or not offenders comply with program rules is of particular concern when the offender serves his or her sentence in the community rather than in a secure or semisecure facility. Hofer and Meierhoefer (1987: 58) point out that community sentences, even when offenders are electronically monitored, raise concerns about public protection. Acceptance or nonacceptance frequently depends on the community's perception of a new program. Corrections administrators are necessarily interested in information about successful versus unsuccessful completion rates for program participants. From the standpoint of protecting the public, violations involving the commission of new crimes are of greatest concern. From the standpoint of effective offender rehabilitation, violations involving treatmentrelated program rules are of interest. Table 4 depicts successful and unsuccessful program termination rates for offenders  \: in the IDP program and in the two comparison groups.I: h+) Sd$ ԍThese rates are based on the CCCC distinction between successful and unsuccessful termination  S<% status, as discussed earlier. A successful termination for an IDP client does not necessarily mean that the client completed the full IDP treatment program including aftercare.I IDP clients successfullyq(#4!-J)J)  d q(#=#H P['CVP#Table 3 @  n , # P['C) RP# IDP Clients' Employment Status at Program  na 0Entry and at Program Termination  * TAN ddx=  addx= T @ P? Xa` N P  #" W M #) P['C>P#Percent #" W ] Number @ P =  W  Employment at Entry  "P "` M# Fulltime" "O64%" "_536MM  Parttimeo "O5%o "`v3MM"  Irregular "O2% "`v1MMo  Unemployed, looking "O27% "_515M  Unemployed, not lookingf"O2% Lԩ N100%"`v1 \ԩ _556 `   WB  Employment at Termination L"PL"`M Fulltime"O69%"_538MML Parttime"O6%"`v3MM Irregular3"O2%3"`v1MM Unemployed, looking"O15%"`v8M3 Unemployed, not looking"O9% Lԩ N100%w"`v5 \ԩ _555 `   W  Changes in Employment    M1 Better Employment Status "O18% "_510MM Same Employment Status]!"O67%]!"_537M  Worse Employment Status""O15% Lԩ N100%T$"`v8 ]ԩ _555 `]!  N% #0y P['C, hXP#Source of Data: Clackamas County Mental Health Division, Client Process Monitoring System Records%'-J)J)  \ N P Xa` #,Dx\  PC#̊P#terminate from the program less often than ESP clients but more often than WR clients.+) S ԍThe difference between IDP clients (54%) and ESP clients (76%) is a highly statistically significant difference (p<.01). The difference between IDP clients (54%) and WR clients (47%) is not statistically significant. Hofer and Meierhoefer (1987: 60) caution that violation data may not always reflect offender behavior but instead may reflect how vigorously program staff monitor program rules and sanction program violations. The termination rates in Table4, show that WR offenders who are under continuous staff supervision also have the highest failure rates. IDP clients, with the next highest failure rates, live in their own homes under electronically monitored confinement and therefore experience less direct staff supervision than WR clients. Yet, due to the drug treatment component in the IDP program these clients are subject to a large number of program rules. ESP clients, who have the lowest failure rates, have fewer rules than IDP clients while they experience presumably similar levels of surveillance. If one accepts the argument that violation rates are, at least to some extent, a function of supervision intensity and the number of program rules, then the findings in Table 4 appear consistent with expectations. Not surprisingly, Table 4 shows that IDP clients more often fail to terminate successfully from the program for drugrelated violations than do offenders in either of the other groups. The reasons for failure in each group are consistent with the type of offenses committed by the clients (see Table 6). Comparing Table 4 with Table 6 shows that offenders with more drug problems (IDP) are more likely to incur drugrelated violations, offenders with more alcohol problems (ESP) are more likely to incur alcoholrelated violations, and offenders who serve more sentences not related to substance abuse (WR) are more likely to incur violations unrelated to substance abuse. Thus, differences in the types of violations leading to unsuccessful terminations reflect differences in the types of offender populations which the programs service. Traditionally, the most common outcome measure for any type of correctional program has been recidivism. A program's failure or success is frequently measured by how well it performs in deterring future criminal behavior in program participants. This outcome measure is not without its critics, particularly in cases when it represents the sole measure of a program's success or failure. In this evaluation recidivism is only one of the outcome measures. This report has already examined changes in IDP clients' substance abuse behavior, changes in employment status, and program completion rates. Recidivism rates are an important outcome measure, however, because they provide the only measure of possible longterm program effects. Table 5 presents information for our two main recidivism measures, rearrest and reconviction rates. IDP clients have higher rearrest and higher reconviction ratesq(#"$-J)J)  d q(#=#H P['CVP#Table 4 @  n 2o  # P['C) RP# Program Termination Success:  na 2c IDP, ESP, WR Program Clients  * Yaddx= ddx=| KCC Y  @ @ P% Xa` N P  #" _ Do #) P['C>P## P['C ,7 P#IDP #" _ R ESP #" _ _ WR @ @ P =  W #  P['C>P# Termination Status  "En "S "` #     Successful W "D54%W "R76%W "_47%      Unsuccessful  "D46% A6ԩ CJ100%"R24% O}ԩ Q100%"_53% \ԩ ^100%W    Number of Clients "D63"R398"_$71* `  W|  Reason for Failures "En"S"`     DrugRelated "D38%"R8%"_>9%     AlcoholRelated "D3%"R33%"_11%     NonSubstance Abuse  "D59% A6ԩ CJ100% "R58% O}ԩ Q100% "_80% \ԩ ^100%   Number of Clients "D29"R324"_^35 `P   F #e P['C |P#  *Excludes clients transferred to other programs~ P'  J # 0y P['C, hXP##,o P['C/n&P#Source of Data: Clackamas County Community Corrections Division w-J)J)  d =#/H P['CVP#Table 5 @  n 0# P['C) RP#  Conviction and Arrest Statistics 1`Since Termination from Program:  n 2c IDP, ESP, WR Program Clients  * ^ddx=| KCC ddx KCC ^ B B Rw  _S N P N P #) P['C ,7 P# Statistic  " _S Ds IDP  " _S R ESP  " _S ` WR B B R  U' #  P['C>P#Percent ReArrested1 "D47%1 "R32%1 "`33%  Percent ReConvicted "D30% "R15% "`18%1  Mean Number of ReArrests?"D.92?"R'.58?"`R.59  Mean Number of ReConvictions"D.66"R'.20"`R.33 ? Percent ReArrested for Substance Abuseg"D20%g"R13%g"`17%  Percent ReArrested for Property Crimes"D25%"R'5%"`16%g Percent ReArrested for Person Crimes"D5%"R'7%"`R5% Percent ReArrested for Felony Crimes "D34% "R11% "`18%  Number of Clients"D64"RG98"`r96    J% #o P['C/n&P#Source of Data: Clackamas County Community Corrections Division --J)J)  \ N P Xa` #/Dx\  PC#̊P#than both ESP clients and WR clients.h`A) S ԍThe pvalues (2tail) for the difference in IDP compared to ESP and WR arrest rates are .05 and .08, respectively. The pvalues (2tail) for the difference in IDP compared to ESP and WR conviction rates are .02 and .08, respectively. Thus, only the differences between IDP and ESP are statistically significant, .05 level.h This pattern persists with respect to two of the three offense categories, substance abuse offenses and property crimes. In the category of violent or person crimes, IDP clients differ little from clients in the comparison groups. The observed differences among the three programs do not necessarily result from differences in the effectiveness of the three programs, but could also result from  \ differences in the type of offenders in each of the programs.A) S ԍThis difficulty results from the quasiexperimental nature of the research design, with the possibility (indeed, likelihood) of preexisting group differences. The following sections will investigate these possible "contaminating" differences in client characteristics, and attempt to statistically separate out the effect of the programs.  3. Possible Contaminating Differences in Comparison Groups Table 6 compares offense classifications and type of offenses that brought offenders into their respective programs. Offenders in the Intensive Drug Program had convictions for felony offenses at a much higher rate (85%) than offenders in either the ESP (24%) or WR (49%) programs. From the perspective of offense classification it appears then that IDP clients are the most serious, WR clients the next most serious, and ESP clients the least serious offenders. Offenders in the three groups also differ by type of offense. IDP clients have more drugrelated charges than offenders in either of the other two groups. ESP offenders show considerably more (56%) alcoholrelated offenses than either the IDP (8%) or WR (27%) offenders. In a recent overview of electronically monitored programs, Baumer and Mendelsohn (forthcoming) note that there may be significant differences in performance between offender populations. In this context they report that DWI offenders tend to do better while they are on electronically monitored house arrest and have subsequently lower recidivism rates than nonDWI offenders. For administrative reasons DWI offenders were specifically excluded from participation in the IDP program. Table 7 compares the three programs on other client characteristics. The mean risk assessment scores show WR offenders to have slightly higher values than IDP offenders, and substantially higher ones than ESP clients. WR clients have the lowest rates in documented substance abuse, followed by ESP clients and IDP clients for whom substance abuse constitutes a program eligibility requirement. Time at risk is an important factor in recidivism analyses, for it indicates the length of time offenders have to re-offend. This is calculated, in this evaluation, in months elapsed from program termination to the date: h-J)J)  d =#H P['CVP#Table 6 @  n +# P['C) RP#  Offense Leading to Sentencing to Program:  na 2c IDP, ESP, WR Program Clients  * ^ddx KCC eddx=< KCC ^ @ @ P Xa` N P  #) P['C ,7 P#" _ E IDP " _ S ESP " _ aQ WR @ @ P =  W #  P['C>P# Offense Classification  "F "T "b@  C Misdemeanor=E "E,0%E "Ss0%E "a3%  B Misdemeanor= "E,0% "Ss0% "a0%E  A Misdemeanor=I"E15%I"S276%I"a]48%  C Felony="E57%"S213%"a]30%I B Felony=M"E16%M"Ss5%M"a6% A Felony="E13% Bԩ D100%"Ss6% Pԩ R100%"a]13% ^ԩ `100%M Number of Clients=u"EL62u"S98u"a64* b@  Wr  Offense Type |"F|"T|"b@ DrugRelated Offense="E42%"S211%"a]16%| AlcoholRelated Offense="E,8%"S256%"a]27% NonSub. Abuse Offense="E50% Bԩ D100%"S233% Pԩ R100%"a]57% ^ԩ `100% Number of Clients= "EL64 "S98 "a96 b@P  F! #e P['C |P#*Excludes 32 federal felony offenders housed in the residential center.P!  J" # o P['C/n&P#Source of Data: Clackamas County Community Corrections Divisionm"#-J)J)  d =#/H P['CVP#Table 7 @  n . # P['C) RP#  Comparison of Client Characteristics:  na 2c IDP, ESP, WR Program Clients  * ^eddx=< KCC ddx= KCC ^ @ @ Pm"  _ N P N P #) P['C ,7 P# Characteristic " _ F  IDP " _ T= ESP " _ a WR @ @ P =  U #  P['C>P#Mean Risk Assessment Score (0100) "E649.1 "S}42.8 "`51.0  Percent Substance AbusersO "E100%O "T}87%O "a77%  Mean Age at Termination "E628.4 "S}31.0 "`29.7O   UI Mean Time at Risk#0y P['C, hXP# (months)#, P['C>P#S"E617.1S"S}17.7S"`17.2  Percent Married"F613%"T}26%"a27%S Percent MaleW"F697%W"T94W"a83% Percent NonWhite"Fw0%"T5%"a13%W Percent Employed at Entry["F664%["T}86%["a38% Percent Employed at Termination"F689%"T}87%"a82% [ Number of Clientsy"F64y"T98y"a 96   J #o P['C/n&P#Source of Data: Clackamas County Community Corrections Division y -J)J)  \ N P Xa` #/Dx\  PC#̊P#the offender records were checked for recidivism. Obviously, if one group is at-risk longer than the others, increased recidivism findings for that group might be a result of time at risk rather than program effectiveness. As Table7 indicates virtually no differences exist in time at risk between the three groups. Looking at the remaining social demographic factors we find that IDP clients are more likely to be young, single, white males than WR and ESP clients. ESP has the highest program entry employment rate (86%), IDP the next highest (64%), and WR the lowest (38%). However, at program termination employment rates are nearly the same for each of the three groups. Consequently, the gains in employment status are most notable for the WR group with an entry rate of 38% and a termination rate of 82%. IDP  \ rates improved from 64% at entry to 89% at exit.  A) SH ԍThe IDP employment information in Table3 differs slightly from Table7. Reasons for this discrepancy could include the different, but overlapping, client groups, and different practices in recording parttime and irregular employment.  4. Comparison of Groups Controlling for Differences As already discussed, the differences in successful termination and recidivism rates for the three programs could result from differences in the types of clients rather than from differences in program effectiveness. The evaluation uses two analytical methods to attempt to take client differences into account: 1)group comparisons based on similar client subgroups, and 2)special statistical analyses using techniques for taking into account, or statistically "controlling", for client differences. Table8 compares successful program termination rates and recidivism rates for single male substanceabusers. Focusing on this subgroup of clients lowers the potential differences between the types of clients being compared from each of the three programs. As Table8 shows, IDP clients have a lower (52%) successful termination rate than ESP  \^ (72%) and WR (69%) clients. ^A) S8 ԍThe associated pvalues (2tail) are .03 and .10, respectively. Thus, only the IDP/ESP difference is statistically significant (.05 level). The rearrest rate for IDP clients (50%) is higher than  \X for ESP clients (30%), but about the same as WR clients (48%). XA) S# ԍOnly the IDP/ESP difference is statistically significant (.05 level), with a p-value (2tail) of .03. The re-conviction rate  \R for IDP clients (35%) is higher than for both ESP clients (15%) and WR clients (26%). R0A) SD& ԍThe IDP/ESP difference is statistically significant, .01 level (2tail p-value=.01), and the IDP/WR difference is not statistically significant (p-value=.35). Most of the other recidivism statistics (Table 8) show a similar pattern. In short, theseL -J)J)  d =#H P['CVP#Table 8 @  n . # P['C) RP# Program Termination Success Rates and +Recidivism Rates for Single, Male Substance  n - Abusers: IDP, ESP, WR Program Clients  * ^ddx= KCC ddx KCC ^ B B Ry  _S Xa` N P  #) P['C ,7 P# Statistic  " _S Ds#  P['C ,7 P# IDP  " _S R ESP  " _S ` WR B B R  U' #  P['C>P#Percent Successful Termination StatusK "D52%K "R72%K "`69%  Percent ReArrested "D50% "R30% "`48%K  Percent ReConvictedO"D35%O"R15%O"`26%  Mean Number of ReArrests"D.94"R'.53"`R.91O Mean Number of ReConvictionsg"D.73g"R'.20g"`R.57  Percent ReArrested for Substance Abuse"D19%"R12%"`26% g Percent ReArrested for Property Crimes"D27%"R'3%"`19% Percent ReArrested for Person Crimes"D6%"R'7%"`R5% Percent ReArrested for Felony Crimes"D35%"R'8%"`21%  Number of Clients9 "D529 "RG609 "`r42   J #o P['C/n&P#Source of Data: Clackamas County Community Corrections Division 9 ! -J)J)  \ N P Xa` #/Dx\  PC#̊P#comparisons show relatively large differences between IDP and ESP, and comparatively smaller-and usually not statistically significant-differences between IDP and WR. In order to better take into account the variety of differences (see Tables56) between the different client groups, the evaluation used the statistical technique of logistic  \ regression (logit) analysis. A) Sl ԍFor an introduction to the statistical technique of logistic regression analysis see Hosmer and Lemeshow (1989). This technique attempts to predict whether one of two outcomes occurs (the dependent variable), based on a number of independent variables or predictors. In this application the dependent variable is whether the client was rearrested, and the independent variables include the various client characteristics and the CCCC  \ program in which the client was a participant.`@A) S ԍCategorical (nominallevel) predictors are entered using dummy variables, with one of the categories serving as the reference category. The reference category for program type is the IDP program. The reference category for offense classification is A misdemeanor (two clients with C misdemeanors were discarded). The reference category for offense type is non-substance abuse. The statistics this method produces allow examination of the effect or predictive power of each independent variable, and allow computation of predicted probabilities of re-arrest for different types of clients. Table 9 presents the logistic regression analysis results, first for an analysis using all clients, and then for an analysis using only those clients who successfully terminated. Examining the signs of the coefficients shows that when all clients are analyzed the ESP and WR clients have lower probabilities of re-arrest than IDP clients, but when only clients with successful program terminations are analyzed the ESP and WR clients have higher probabilities of re-arrest. Table 10 attempts to present this finding in a clearer way. Table10 compares the estimated re-arrest probabilities, calculated using the Table9 results, for clients from each of the three programs. The calculated re-arrest probabilities are for a single male substance abuser convicted of a C felony drugrelated offense, employed at program entry and program termination, and having the average age and risk score of IDP clients. Considering clients who both successfully and unsuccessfully terminated the calculated re-arrest probabilities are .43, .36, and .35 for the IDP, ESP, and WR programs, respectively. Considering only clients who successfully terminated, the calculated re-arrest probabilities are .24, .34, and .42 for the IDP, ESP, and WR programs, respectively. In short, the Table9-10 results make IDP look worse then the other programs in terms of recidivism if all clients are considered, but better if only clients successfully terminating from the program are considered.Rh-J)J)  d =#H P['CVP#Table 9 @  j )R #w P['C2bP# Statistical Analysis of Recidivism (ReArrest) /oUsing Logistic Regression Analysis:  j 2 IDP, ESP, WR Program Clients  * cddx KCC !dd<k (8( c " v@@@P9 "  b #2 P['C4dORP#   Predictors" W =#4 P['C>P#All Clients"WSuccessful Clients"v@@@PV@@ @@ Pk"  "9Coef.7 "Gtstat.7 "WpCoef.7 " W- f tstat. "V@@ @@ Pv  " Constant "9`1.13 "H1.04 "X.15 "h.08"v  V  7 " ESP Program "9zԩ.33 "Hԩ.76 "X.51 "h.84"V  V   " WR ProgramY"9zԩ.36Y"Hԩ.80Y"X.84Y"g1.17"V  V   " C Felony":.43"IA.87"X.93"g1.21"V  V  Y" B Felony"9zԩ.04"Hԩ.05"X.87"h.86"V  V  " A Felony[":.08["IA.13["X.26["h.32"V  V  " DrugRelated Off."9zԩ.39"Hԩ.87"Wԩ.91"g]ԩ1.41"V  V  [" AlcoholRelated Off."9zԩ.12"Hԩ.27"Wԩ.40"gԩ.64"V  V  " Risk Assess. Score]":.01]"H1.11]"X.02]"g1.87"V  V  " Substance Abuser"9zԩ.05"Hԩ.09"X.87"g1.09"V  V  ]" Age "9zԩ.03 "Hԩ1.63 "Wԩ.04 "g]ԩ1.38"V  V  " Married_"9zԩ.23_"Hԩ.58_"Wԩ.19_"gԩ.39"V  V   " Female"9zԩ.63"Hԩ.94"Wԩ.24"gԩ.27"V  V  _" Employed at Entry "9zԩ.20 "Hԩ.54 "X.08 "h.13"V  V  " Employed at Term.a"9zԩ.60a"Hԩ1.22a"Wԩ1.88a"g]ԩ1.81"V  v " % Correctly Predicted"@U 63%"^ 73%"vva" Number of ClientsM!"A221M!"_ 135 v   J! #o P['C/n&P#Note: The "Coef." and "tstat." columns show the coefficient and the associated t-statistic from a logistic regression analysis of whether clients were re-arrested.eM!  N# #/0y P['C, hXP#Source of Data: Clackamas County Community Corrections Divisionei#$-J)J)  d #,H P['CVP#<Table 10 @  v .# P['C6LP#  Estimated Probabilities for ReArrest -[Based on Logistic Regression Analysis:  v 48 IDP, ESP, and WR Clients  * c!dd<k (8( Addx30 888 c e@ @ Pi# #6 P['C4dORP# " b =D IDP "NWESP " b _WR @ @ P @ 3  b  All  b Terminations 7 ">T =.437 "O N.367 "` _.35 @ @    b  Successful  b Terminations 7">T =.247"O N.347"` _.42@ 7   K #4s P['C8e:P#Note: Probabilities are for a single, male substance abuser convicted of a C felony drugrelated offense, employed at program entry and termination, and having average age and risk score of IDP clients. Calculations are based on the logistic regression results in Table9.7  J #8o P['C/n&P#Source of Data: Clackamas County Community Corrections Division;-J)J)  \ Xa` Xa` #/Dx\  PC#̊P#5. Comparisons Using Clients Who Successfully Terminate The recidivism analyses in Tables9-10 showed different results for clients with successful program terminations compared to all clients. To explore this further, the evaluation examined recidivism statistics for only those clients who successfully  \ terminated from their CCCC program.A) Sl ԍSuccessful termination is again based on the CCCC distinction, as discussed earlier, and successful termination status for an IDP client does not necessarily mean that the client finished the entire IDP treatment program including aftercare. Table11 presents recidivism statistics for clients who successfully terminated from their respective programs. Because the IDP program involves an additional aftercare component, Table11 also presents recidivism statistics for IDP clients who successfully terminated and went on to complete the entire treatment component of the IDP program by finishing aftercare. The results show almost exactly the same re-arrest and re-conviction rates for all programs. In contrast to Table5, IDP does not have higher recidivism rates than the other programs-in fact, the re-arrest rate for IDP clients completing aftercare is lower than the other programs (26% versus 30%). The more specific recidivism measures also reveal largely minor differences. In short, when only clients who successfully terminate are considered, the overall re-arrest and re-conviction rates across programs show very little, and no statistically significant, differences.  6. Summary of Findings About Recidivism Rates This report has presented a number of findings about recidivism of IDP clients compared to ESP and WR clients. To summarize these findings and aid in making an overall assessment, Figure2 contrasts each of the different results from the previous tables. As Figure2 depicts on the left side of the graph, recidivism of IDP clients compares unfavorably to ESP and WR when characteristics of the different client groups are not considered. Moving from the left side of the graph towards the right side of the graph shows that as differences in client characteristics are taken into account, and as the analysis focuses on clients who successfully terminated from their program, the IDP program no longer compares unfavorably. Indeed, when the analysis focuses only on those clients who successfully terminated and also finished aftercare, IDP looks slightly better. The appropriate interpretation of these results depends on whether one considers it appropriate to make the comparisons using all clients, or only clients who successfully"$-J)J)  d <#H P['CVP#Table 11 @  _ * # P['C ,7 P# Comparison of Recidivism for IDP Clients Who &6Successfully Terminate, IDP Clients Who Successfully (qTerminate and Complete Aftercare, and ESP and WR  _w / Clients Who Successfully Terminate  * cAddx30 888 aAddx KUC c  B B R;   _w Xa` N P  #  P['C ,7 P# Statistic  " _w < IDP  " _w I IDP+ * " _w WD ESP  " _w dv WR B B R  UM #  P['C>P#Percent ReArrestedW "<32%W "Je26%W "W30%W "d30%  Percent ReConvicted "<15% "Je15% "W15% "d15%W  Mean Number of ReArrestse"<V.53e"J.48e"W.57e"d.67  Mean Number of ReConvictions"<V.53"J.59"W.20"d.31 e Percent ReArrested for Substance Abuse"<V9%"J7%"W11%"d21%  Percent ReArrested for Property Crimes"<21%"Je19%"W4%"d15% Percent ReArrested for Person Crimes"<V3%"J4%"W7%"d6% Percent ReArrested for Felony Crimes1"<21%1"Je19%1"W11%1"d18%  Number of Clients"<v34"J27"W74"d33 P1  FK #e P['C |P#*IDP clients who successfully terminated and completed aftercare.!P  N # 0y P['C, hXP#Source of Data: Clackamas County Community Corrections Division  -J)J)  d #,H P['CVP#<Figure 2ă  Figure 1 ! Figure 1   n # P['C) RP##) P['C) RP# +!ReArrest Rates of IDP Clients Compared to -ESP and WR Clients: Comparisons Using  n /WFive Different Statistical Methods!  @   @yA x  3 `ssFIGURE2.WPG x<yА U @#) P['C>P#  Methods of Comparison     #o P['C/n&P#N P 8 @ HPX "%`'),h.03p57 :x<>(ACE   J 1. Rates for all program clients (Table 5)  J\ 2. Rates for single male substance abusers (Table 8)  J4 3. Rates for clients who terminated program successfully (Table 11)  J ! 4.  " Rates for clients who terminated program successfully, including IDP aftercare (Table 11)  J" 5.  " Rates for clients who terminated program successfully, estimated using logistic regression results (Table 10)   l$ -J)J)  \ 8 @ HPX "%`'),h.03p57 :x<>(ACEXa` #/Dx\  PC#̊P#terminated. Without restricting the analysis to successful program terminators (Figure2, sections1-2; Table9, left side) IDP compares unfavorably. Once the analysis is focused on successful program terminators (Figure2, sections3-5) IDP appears as good or better on recidivism as the other programs. Arguments can be made both ways for the appropriateness of restricting the analysis to successfully terminating clients. The argument against restricting the analysis to successful terminators is that doing so biases the results by focusing on the subset of better behaved offenders. However, since the successful termination rate was even lower for the WR program than the IDP program (Table 4), this argument implies that restrictive selection biases the results even more in favor of the WR program than the IDP program, but Figure2 shows that restricting the analysis to successful program terminators in fact makes IDP rates look better than WR rates. The argument in favor of restricting the analysis to successful terminators is that only when clients go through the whole program, including IDP aftercare, can the program have an effect on the clients that later shows up in recidivism rates. By that argument, evaluating the program's impact requires focusing on those clients who received the treatment by completing the entire program.  7. Types of IDP Clients Who Successfully Terminate Criminologists are becoming increasingly aware that treatment programs are not equally effective for all offenders. There are those who suggest that programs like electronically monitored house arrest work best for drug offenders (Erwin, 1987), for employed offenders (Byrne and Kelly, 1989), or for those who have committed alcohol related traffic offenses (Baumer and Mendelsohn, 1990). As Petersilia and Turner (1990: 88) put it "the appropriate question to ask when looking at outcomes is not, Did it Work? but, For whom did it work best?" Knowing from what "candidate pool" to choose program participants may be of critical importance for the correctional as well as the rehabilitative success of a program (Baumer and Mendelsohn, forthcoming). For a new program such as the Intensive Drug Program it is of potentially great value to identify clients who are able to take advantage of the full range of rehabilitative services it offers. Table 12 compares characteristics of clients who successfully terminated from the  \4! IDP program with characteristics of those clients who were not successful.4!) S# ԍAgain, Tables 1213 are based on the CCCC successful/unsuccessful termination status, not whether the client finished the entire IDP treatment program including aftercare. The evaluation found that clients with the more serious charges, B and A felonies, have higher successful termination rates than clients with the less serious charges. Clients with drug-related charges have higher success rates than those with either alcohol or"$!@-J)J)  d <#H P['CVP#Table 12 @  j / #w P['C2bP# Differences Between IDP Clients Who +Successfully Terminate from the Program and  j ,Clients who Do Not Successfully Terminate  . ^aAddx KUC =ddxk"' b ^ @P Xa` N P  #2 P['C ,7 P# " _ L Program Termination @P@ Pk  " _ C Successful  " _ \ Unsuccessful @ P ?   [ #  P['C9>P# Offense Classification #9 P['C>P# "HV "bZ   {{A Misdemeanor{8"G9%8"aw21%  {{C Felony{"Gs53%"aw61%8 {{B Felony{<"Gs18%<"aw14%+ {{A Felony{"Gs21% Dԩ F2100%"a4% ^"ԩ `6100% bZ+<  [ # P['C9>P# Offense Type #9 P['C>P#"HV"bZg {{DrugRelated Offense{|"Gs47%|"aw38% {{AlcoholRelated Offense{"G6%"aw10%+| {{NonSub. Abuse Offense{"Gs47% Dԩ F2100%"aw52% ^"ԩ `6100% bZ+ Mean Risk Assessment Score (0-100) "Fs49.5 "`w48.0) Mean Age at Termination7""Fs29.07""`w27.7  Percent Married#"Gs21%#"a4%7" Percent Employed at Entry;%"Gs77%;%"aw48% # Number of Clients&"G34&"a28 ;%  RU' #_ P['C P#Source of Data: Clackamas County Community Corrections DivisionU'"-J)J)& d <# H P['CVP#Table 13 @  n ,\# P['C) RP#  Successful Program Termination Rates for  na /Different Categories of IDP Clients  4 T=ddxk"' b $ddx=# { T H@ P&  b N P N P #) P['C ,7 P#  x #  P['C4dORP#Category " _ EM #4 P['C ,7 P#Percent  _ CSuccessful = " _ Z4 Number in  _ ZCategory H@ P =  W #  P['C>P# Offense Classification  "Hv "^  =  bbA Misdemeanorbq "G33%q "^9  bbC Felonyb "G51% "]35q  bbB Felonybu"G60%u"]10  bbA Felonyb"G88%"^8 ^ u  W  Offense Type "Hv"^  bbDrugRelated Offenseb"G59%"]27 bbAlcoholRelated Offenseb"G40%"^5 bbNonSub. Abuse Offenseb"G52%"]31 ^   W  Marital Status "Hv"^ ) bbMarriedb-"G88%-"^8 bbSingleb"G50%"]54 ^ -  W  Employment Status at  W Entry "Hv"^ D bbEmployedbR!"G65%R!"]40 bbNot Employedb""G35%""]23 ^ R!  J# #o P['C/n&P#Source of Data: Clackamas County Community Corrections DivisionY#$#-J)J)  \ N P Xa` #/Dx\  PC#̊P#non-substance abuse charges. Table 13 presents the same data in slightly different form, and again shows that as offense seriousness increases so does successful program termination. The mean risk assessment score, a measure which presumably reflects clients' reoffending risk, is consistent with the pattern so far: successful program termination is associated with slightly higher risk scores than unsuccessful termination.  \ Andrews et al. (1990: 374) found in an extensive review of correctional programs that "the effects of treatment typically are found to be greater among higher risk cases than among lower risk cases." While these observed differences are neither of great magnitude, nor are they based on a large sample, they do suggest that the focus on drug treatment yields slightly better results for offenders who are charged with drug offenses than non \ drug offenses.: A) SP ԍThis evaluation does not address several deeper interpretation issues concerning successful  S( completion rates. First, as Baumer et al. (1990: 10) observe, program completion reflects staff tolerance as well as clients' behavior. Second, variables such as offense seriousness and risk assessment scores themselves reflect trends in criminal justice-for example, current efforts to treat drugrelated offenses more harshly. There are no unexpected findings with regard to the remaining three characteristics. Age, being older rather than younger, marital status, being married rather than single, and  \ employment, being employed rather than unemployed, A) S: ԍEmployment has a somewhat equivocal status as a background characteristic since, as noted above, employment can be regarded as an outcome measure. are all characteristics which have previously been linked to better performance on most outcome measures, including recidivism (Petersilia and Turner, 1990). 8. Cost Comparisons Issues of cost effectiveness have figured prominently in discussions of electronically monitored house arrest since its inception in 1985. Correctional administrators, simultaneously hard pressed for money and for bed space, saw in electronic monitoring a promising remedy for both problems. According to a 1987 Rand Corporation national survey, annual costs per offender ranged between $2,500 and $8,500. Annual expenditures for housing an offender in jail were estimated to range between $8,000 and $12,000, while those for routine probation fell between $300 and $2,000 (Petersilia and Turner, 1990: 47). Figures similar to these were reported by Hofer and Meierhoefer (1987: 55) based upon their survey of 25 electronic monitoring programs. Table 14 presents information on costs for the Clackamas County Community Corrections programs. Converting these daily cost figures (Table14) to annual figuresB$B-J)J)  d <#H P['CVP#Table 14Ѓ   4} 4 #` P['C;-P#  Daily Costs per Offender: 5 IDP and Other Sanctions   n- 4 #; P['C) RP#Clackamas County, Oregon > T$ddx=# { ddx %(  T @PY# #)H P['CVP#Xa` N P   " f Gy Daily Cost @P@ @ P   f   x Sanctions k " _ 8W# P['C ,7 P# With 100% Fee  _ :Payment * " _ U Without Fee  _ VQPayment *@ @ P   Routine Probation"<$1.88"X$2.29    ESP***h"<$6.16h"Wf$16.16   IDP***";$19.56"Wf$21.56  h Work Release";$34.22"Wf$47.22   County Jail":+$54.77**"Wf$54.77   F  # e P['C |P#*Fees (per day): Routine Probation $0.82; ESP $10.00; IDP $2.00, plus sliding scale fee for substance abuse treatment; WR $13.00P **No fee assessedPP # e P['C |P#***Involve programmed contact and continuous signalling to monitor house arrestP # e P['C |P#Source of Data: Clackamas County Community Corrections Division. Cost figures based on total annual program budgets, including personnel, indirect costs, materials, services, etc., divided by the number of offenders in the respective programs. <L%-J)J)  \ N P Xa` # Dx\  PC#̊P#shows that the annual cost ranges in Clackamas County for routine probation ($686-$834) and for electronic monitoring ($2,251-$5,901) fall within the cost ranges of programs nationwide. Since expenditure analyses generally have established that electronically monitored house arrest is less expensive than jail or work release, using electronically monitored house arrest for jailbound offenders can realize considerable savings. But, as Petersilia and Turner (1990:47) note, there are several complications. One complication concerns the purpose for which electronic monitoring is used. Although using electronically monitored house arrest for jailbound offenders reduces costs, when the correctional purpose aims at increasing community protection the cost picture reverses. Costs for routine probation, according to the Rand study's figures, range between $300 and $2,000 per offender annually. Thus placing probationbound offenders on electronically monitored house arrest will increase expenses. Since electronically monitored house arrest may be used for both purposes, the net effect of electronically monitored house arrest on costs is less clear than early enthusiasts proclaimed. Table 14 shows that adding rehabilitative services to electronic monitoring, not surprisingly, adds to the cost. The Clackamas County Intensive Drug Treatment Program  \ costs between $5$13@E+ S ԍThe figures do not include fees collected by the Clackamas County Mental Health Division. These fees are assessed monthly based on a sliding scale. Of the 63 IDP clients in this study, 34 were assessed no fee. The total dollar amount collected for the remaining clients was $3,640.@ more per day per offender than the electronic monitoring program without the treatment component. Still, the county pays between $26$15 less per day to maintain an offender on IDP than on work release, and between $35$33 less than in jail-a potential savings of $4,619 to $12,850 annually per offender. 9. Other Considerations This evaluation has focused on the performance of the IDP program, without discussing the broader context in which the program was developed. Evaluating the full significance of the IDP program, however, requires an understanding of how the IDP program fits into the ongoing trends in the criminal justice system. The relative absence, in general, of intermediate sanctions between prison and probation has prompted corrections officials and criminologists to call for the expansion of correctional options in this country. Barry Krisberg, the president of the National Council on Crime and  \4! Delinquency, is quoted in a recent New York Times article (Malcolm, 1990:A1X9) as saying "Right now we can give criminals an aspirin or a lobotomy. We need more steps in the middle to make some kind of punishment more certain." Morris and Tonry (1990)  \$$ devote their entire book, Between Prison and Probation, to the "development and$$&-J)J) application of a range of punishments between imprisonment and probation." "Imprisonment," they argue, "is used excessively; probation is used even more excessively; between the two is a near vacuum of purposive and enforced punishments" (1990:3). In a review of the state of electronic monitoring since its beginnings in 1985, Baumer and Mendelsohn (forthcoming:13) point out that most early programs emphasized surveillance as a main goal. Rehabilitation, they remark, was more of an afterthought, or a nice side effect, not an explicit goal. In offering the Intensive OutPatient Drug Program (IDP) as a communitybased sentencing option, Clackamas County is at the forefront of these ongoing efforts to develop better intermediate punishment options.'-J)J)  S #_ P['C P# APPENDIX A: Eligibility Determination and Sampling Methods Used  S in Creating Comparison Groups  1. 1. 1. 1. 1. 1. 1. 1. 1 .1 .1 .1 .1 .1 .1 .1 # j\  PC!?P#  1. Definition of Eligibility for Inclusion in Evaluation Study: Clients of IDP Program (Treatment Group), ESP Program (Comparison Group 1), and WR Program (Comparison Group2) Xa` X`   V 1.1.Beginning and Cutoff Dates  The earliest date of entry for IDP participants was July 26, 1988, and this date established the beginning date for defining eligibility of program participants from each group for inclusion in the analysis. Only participants who entered their program on or after July 26, 1988 were included. A cutoff date was established based on the need for six months to elapse after a client's termination from the program before collection of recidivism data. Therefore, only participants who were terminated from their program no later than July 31, 1990 were used in the study.  V` 1.2.Deletion of Cases  Some cases were deleted from analysis due to problems with the recorded data. Specifically, cases were deleted if either the participant's name or risk category were missing in the recorded data.  Some cases were deleted from the ESP comparison group because of the type of placement they had in the ESP program. Specifically, cases combining jail with ESP, the WR program with ESP, or anything else other than a placement in the ESP program alone were eliminated from analysis. In other words, the ESP comparison group allows a comparison to a pure ESP program.  VH 1.3.Number of Cases in each Group  After deletion of cases for the above reasons, the cases from each available for this study were as follows:   VZ ` ` IDP: % 70 cases  V; ` ` ESP: %390 cases  V ` ` WR: %331 cases 2. Sampling of Cases from the Comparison Groups  Although it would have been desirable to use all of these 390 ESP cases and 331 WR cases for the analysis, the work required to collect the necessary additional data (recidivism and specific risk assessment scores) made it infeasible to use all of these cases for data analysis. Because the staff resources were simply not available to collect the additional data for all of these cases, sampling a subset of cases from each comparison groups was necessary.  After considering the availability of staff resources to collect the additional data, it was decided to sample 100 cases from each of two comparison groups. Each group of 100 cases from the ESP and WR programs would then constitute the comparison groups for the actual data analysis. It was decided to use a stratified random sample, with stratification based on strata defined by the risk assessment categories.  Stratifying based on risk assessment categories has the advantage of making the two comparison groups better matched with the treatment group. Matching in this manner introduces'(-J)J) some control for the initial group differences in risk of criminal behavior, but does not preclude also statistically controlling for the specific risk assessment scores, after those data had been obtained for the clients selected for analysis.  The procedure used for stratified sampling, or matching, was as follows. The percentage frequency distribution of risk assessment categories was determined for the treatment group, and is shown in Table15. As Table15 shows, 50% of the IDP clients were assessed with the old risk instrument and were given numerical (14) risk categories, and 50% of the IDP clients were assessed with the new risk instrument and were given verbal (lowmediumhigh) risk categories. The percentage of clients in each category for the IDP group then determined the number of clients in that category for the ESP and WR groups. For example, since 29% of the IDP clients are in the "medium" category, the samples for the ESP and WR groups were chosen so that 29 out of 100 clients in those samples were also in the medium category. Within each category, simple random sampling was used to choose the quota for that category. In short, the matching on risk assessment categories was achieved by simple random sampling of clients within risk categories for each of the two comparison groups, and the number of clients chosen for each category was determined by the percentage of the treatment group in that category. )-J)J)  d <#!H P['CVP#Table 15 @  _ &O# P['C ,7 P#  Distribution of Client Risk Assessment Categories for )}the Treatment Group (IDP) Clients and Potential  _K +Comparison Group (ESP and WR) Populations  -#  P['C>P# .,%, hddx %(  ddx*_ZZZZ h * @@@@@P<*  W)  )T  Risk  W Category  " W) (  IDP Program3"BESP Program3"^WR Program*@@@@@PBB BB BB R*  "' f $3ԃ% "@f $O~ԃ% "]f $ W j!ԃ% *BB BB BB R@3*  Wm  Low w "' 2w $2T3%w "?71w $M18%w "\725w $j 8%*@@    *  W  Medium  "& 20 $129% "?B118 $M30% "\795 $i 29%*@   @   w *  W  High "& 12$118%"?30$N8%"\735$i 11%*@   @    *  W#  1 -"& 23-$134%-"?55-$M14%-"\784-$i 25%*@   @   *  W  2 "' 2$2T3%"?40$M10%"\724$j 7%*@   @   -*  WG  3 Q"' 5Q$2T7%Q"?48Q$M12%Q"\741Q$i 12%*@   @   *  W  4 "' 4$2T6%"?28$N7%"\727$j 8%*@   B   Q*  W  Total !"& 68!$0P100%!"?B390!$L100%!"\331!$h100%B    *-J)J)  S #_ P['C P# APPENDIX B: Data Cleaning and Data Checking for Logical  S Consistency # j\  PC!?P#  Extensive data cleaning and consistency checking was done to detect errors in the data entered on the data retrieval sheets, and to detect errors in the entry of that data for computer analysis. First, after receiving the filledout data retrieval sheets from Clackamas County Community Corrections (CCCC) personnel, the evaluators examined the retrieval sheets for omissions, coding problems, and any other problems. The evaluators contacted CCCC personnel with questions they had, and made some corrections to the retrieval sheets. The data from the retrieval sheets were then entered as computerized data, and after entry all entered data for all clients were manually examined, casebycase, to detect data entry errors. After discovered errors were corrected, another person randomly sampled cases to check for remaining errors, and none were found. A set of logical consistency checks were then applied to the data.  The logical consistency checks that were applied were the following:   V ` ` If an arrest was made for substance abuse, a property crime, or a person crime, then the total number of recorded arrests must exceed zero.(#`   V ` ` If the risk assessment instrument was the old instrument, then the risk score must be in the range 038.(#`   V4 ` ` If the risk assessment instrument was the new instrument, then the risk score must be in the range 011.(#`   Vf ` ` If the arrest most serious variable has the value no arrests, then the number of arrests, arrest for substance abuse, arrest for property crimes, and arrest for person crimes variables must have the value no arrests.(#`   Vy ` ` If the number of arrests variable has the value no arrests, then the arrest most serious variable must have the value no arrests.(#`   V ` ` If the number of arrests variable has a value of one or more arrests, then the arrest most serious variable must not have the value no arrests.(#`  After inconsistencies discovered by the above checks were corrected, frequency distributions for all variables were produced and all variables were examined for any outofrange values, of which none were found.  Finally, several cases were deleted because of missing data on one of the variables.+-J)J)  S #!_ P['C P# APPENDIX C: Computation of a Risk Assessment Score on a Common  S Scale from the Old and New Risk Assessment Instruments # j\  PC!?P#  A score on an instrument measuring the risk of criminal behavior was available for all clients analyzed in this evaluation. However, there were two versions of the instrument-an old version, and a new version that replaced the old version. About onehalf of the clients used in this evaluation were scored using the old version, and about onehalf were scored using the new version. Both versions cover substantially the same content, including prior felony convictions, other convictions,  V age at first conviction, parole violations, and substance abuse problems.8/ S ԍThere are, however, several differences in content, since each version includes items not covered by the other version. The old version includes number of address changes in the last twelve months, percentage of time employed in the last twelve months, attitude toward selfchange, and conviction for assaultive or sexual offenses. The new version includes whether the client had a verified period in the community of three years convictionfree prior to the present supervision. However, the old instrument generated a score on a 038 scales, with 38 indicating a high risk, whereas the new instrument generates a score on a 011 scale, with 11 indicating a low risk. The old risk scores had a mean of 17.592 and a standard deviation of 8.643, whereas the new risk scores had a mean of 5.656 and a standard deviation of 2.315. Therefore, a procedure was required to compute a risk assessment score on a common scale from the scores from each of these separate instruments.  Two alternative procedures were used for computing a score on a common scale: 1)calculating risk scores on a 0100 scale, with 100 indicating a high risk, and 2)calculating standardized risk scores with a mean of 0 and a standard deviation of 1, with high scores indicating high risk:  XProcedure 1. Old and new risk scores were combined by stretching both ranges, 38 and 11 respectively, to 100. For clients with old risk scores:  ` ` Computed Score = (Old Score)*100/38 XFor clients with new risk scores:   V ` ` Computed Score = (((New Score)*(1))+11)*100/11__R  XProcedure 2. Old and new risk scores were combined by setting both to a mean of zero and a standard deviation of one. For clients with old risk scores:  ` ` Computed Score = ((Old Score)17.592)/8.643 XFor clients with new risk scores:  ` ` Computed Score = (((New Score)5.656)/2.315)*(1)  The two alternative computed risk scores were correlated, and were found to have a correlation of .998. In short, the two alternative computed risk scores are for practical purposes identical for statistical analysis. For convenience of presentation it was decided to use the score calculated following procedure 1 when doing the statistical analysis.,-J)J)  S #!_ P['C P# APPENDIX D: Example Client Information Retrieval Sheet and  S Instructions # j\  PC!?P# Figure 1 A Figure 1 !     \$ ya \$f\$'3ddAPPD_FIG.EPS- <y   (--J)J)  V  Instructions for the Use of IDP, ESP and WR Information Retrieval Sheets  Two sources of information must be consulted: 1. client rap sheets 2. client files  1. Information to be obtained from client rap sheets  XFor column 1:(# Count the number of convictions between DOT and January 31, 1991. Enter this number (0 if none) in column 1 on the Client Information Retrieval Sheets.(#  XFor column 2:(# XCount the number of arrests between DOT and January 31, 1991. Enter this number (0 if none) in column 2.(#  XFor column 3:(# If any of the above recorded arrests involved drug or alcohol crimes, record this information in column 3.(# Y = yes; N = no.  XFor column 4:(# If any of the above recorded arrests involved property crimes, record this information in column 4.(# Y = yes; N = no.(# See attached sheet for property crimes as they are defined for purposes of this study.(#  XFor column 5:(# If any of the above recorded arrests involved person crimes, record this information in column 5.(# Y = yes; N = no.(# See attached sheet for person crimes as they are defined for purposes of this study.(#  XFor column 6:(# Review all charges (between DOT and January 31, 1991) leading to the arrest of a client and record the most serious charge among them.(# In column 6 enter:(# ` `  %F = felony ` `  %M = misdemeanor ` `  % %P = probation/parole violation* ` `  % %0 = no arrest  X` ` *Code as P = probation/parole violation only when no new crime is associated with the revocation. When a crime is listed together with the PV, record the crime as either felony or misdemeanor but not as probation/parole violation.(#` 2. Information to be obtained from client files  For column 7: Indicate whether the old or new risk assessment form was used.(#'.-J)J)ԌIn column 7 enter:(# X` ` I %O = old(# ` `  % %N = new  For column 8: Enter the numerical risk score.  For column 9: Record the following information for the ESP and WR groups only.(# Review the risk assessment document and determine whether either alcohol or drug use  V history is indicated. On the old form* this information is recorded in answer to questions 3 and 4.(# A "0" in response to both questions is to be recorded as:(# ` `  %N = no in column 9. Anything else must be recorded as: ` `  %Y = yes   V On the new form* check item "F" for a Y/N recorded answer. The new form associates the number 1 with N (no) and the number 0 with Y.(# XIf you find the answer to item F recorded as "Y" or "0":(# ` `  %enter Y = Yes in column 9 If you find the answer to item F recorded as "N" or "1":(# ` ` I %enter N = No in column 9(#  X` ` *A copy of each risk assessment form is attached.(#` Partial list of offenses categorized as person or property crimes Person Crimes XMurder, manslaughter, robbery, kidnap, rape, assault, sodomy, menacing, recklessly endangering, sexual misconduct, public indecency, harassment etc. In the event that it is not  V{ clear how an offense should be categorized consult the Criminal Code of Oregon (1990) pp.270294.(#  Property Crimes XTheft, unauthorized use of vehicle, burglary, criminal mischief, arson, fraud, embezzlement, forgery, criminal trespass, firearms violations, etc. In the event that it is not clear how an  VR offense should be categorized consult the Criminal Code of Oregon (1990) pp. 295311 and pp. 313327(#5/-J)J)  W #! P['C>P#n; REFERENCES ă #Dx\  PC#̊P##-t\  PC'qP# X` X Andrews, D.A, Ivan Zinger, Robert D. Hodge, James Bonta, Paul Gendreau, and Francis T. Cullen (1990). "Does Correctional Treatment Work? A Clinically Relevant and  ZW Psychologically Informed MetaAnalysis." Criminology. Volume 28 (3):369404.(# Baumer, Terry L. and Robert I. Mendelsohn (forthcoming). "Electronically Monitored Home  Z, Confinement: Does it Work?" in Smart Sentencing? An Examination of the Emergence  Z of Intermediate Sanctions. James M. Byrne and Arthur Lurigio (Eds.) Newbury Park: Sage.(# Blumstein, Alfred and Jacqueline Cohen (1979). "Estimation of Individual Crime Rates from Arrest Records." Working paper. Pittsburgh, PA: CarnegieMellon University.(# Byrne, James M. and Linda Kelly (1989). "An Evaluation of the Implementation and Impact of the Massachusetts Intensive Probation Supervision Program." Unpublished report.(#  Z  Clackamas County Community Corrections Division (1990). Biennial Plan for 19911993. Oregon City, Oregon.(# Clackamas County Department of Human Services, Community Mental Health Center (1989).  Z` Year End Review of the Intensive OutpatientESP Drug Treatment Program. Milwaukee: Clackamas County Mental Health.(#  Z5 Criminal Code of Oregon (1990). Salem, Oregon: Legislative Counsel Committee.  Z  Erwin, Billie S. (1987). Evaluation of Intensive Probation Supervision in Georgia. Atlanta, Georgia: Georgia Department of Corrections.(#  Z  Hofer, Paul J. and Barbara S. Meierhoefer (1987). Home Confinement: An Evolving Sanction  Z in the Federal Criminal Justice System. Washington D.C.: Federal Judicial Center.(#  Z  Hosmer, D.W. and S. Lemeshow (1989). Applied Logistic Regression. New York: John Wiley and Sons.(#  Z!  Maltz, Michael D. (1984). Recidivism. Orlando, Florida: Academic Press.(#  Z~#  Morris, Norval and Michael Tonry (1990). Between Prison and Probation. New York: Oxford University Press.(#  ZS&  Petersilia, Joan and Susan Turner (1990). Intensive Supervision for High Risk Probationers. Santa Monica: Rand Corporation.