******************************************************************* * Stata "do-file" file with labels and missing data specifications * Created by ddltox on May 01, 2009 (Fri 12:25 PM PDT) * DDL source file: "ocas99/ocas99.ddl". * * Note that the data dictionary is given at the end of this file. * Put the dictionary into a separate file (by editing this file). * Then specify below the name of the dictionary file. * * DDL file gives the following dataset description: * Records per case: 1 * Record length: 78 ******************************************************************* label data "ORANGE COUNTY ANNUAL SURVEY 1999" #delimit ; label define Q1 1 "SINGLE FAMILY" 2 "ATTACHED" 3 "APARTMENT" 4 "MOBILE" 5 "OTHER" 9 "REFUSE" ; label define Q2 1 "0-2 YRS" 2 "3-5 YRS" 3 "6-10 YRS" 4 "11-20 YRS" 5 "21+ YRS" 9 "REFUSE" ; label define Q3 1 "OWN" 2 "RENT" 9 "DK, REFUSE" ; label define Q4 1 "UNDER $500" 2 "$501-$750" 3 "$751-$1,000" 4 "$1,001-$1,500" 5 "$1,501+" 9 "NA, REFUSE" ; label define Q5 1 "NOTHING" 2 "$1-$500" 3 "$501-$750" 4 "$751-$1,000" 5 "$1,001-$1,500" 6 "$1,501-$2,000" 7 "$2,001+" 9 "NA, REFUSE" ; label define Q6 1 "BETTER OFF" 2 "WORSE OFF" 3 "SAME" 9 "DK, REFUSE" ; label define Q7 1 "BETTER OFF" 2 "WORSE OFF" 3 "SAME" 8 "DK" 9 "REFUSE" ; label define Q8 1 "GOOD TIMES" 2 "BAD TIMES" 8 "DK" 9 "REFUSE" ; label define Q9 1 "GOOD TIMES" 2 "DEPRESSION" 8 "DK" 9 "REFUSE" ; label define Q10 1 "GOOD TIME" 2 "BAD TIME" 8 "NEITHER, DK" 9 "REFUSE" ; label define Q11 1 "EXCELLENT" 2 "GOOD" 3 "FAIR" 4 "POOR" 5 "NOT IN CITY" 8 "DK" 9 "REFUSE" ; label define Q12 1 "EXCELLENT" 2 "GOOD" 3 "FAIR" 4 "POOR" 5 "NOT IN CITY" 8 "DK" 9 "REFUSE" ; label define Q13 1 "VERY WELL" 2 "SOMEWHAT WELL" 3 "SOMEWHAT BADLY" 4 "VERY BADLY" 9 "DK, REFUSE" ; label define Q14 1 "ECONOMY" 2 "CRIME" 3 "SCHOOLS" 4 "IMMIGRATION" 5 "TRAFFIC" 6 "HOUSING" 7 "ENVIRONMENT" 8 "GROWTH" 9 "AIRPORT" 10 "RACE RELATIONS" 11 "LOCAL GOVT" 12 "TAXES" 13 "GOVT REGS" 14 "POVERTY" 15 "DRUGS" 16 "HEALTH CARE" 17 "VALUES" 97 "OTHER" 98 "DK" 99 "REFUSE" ; label define Q15 1 "BETTER PLACE" 2 "WORSE PLACE" 3 "NO CHANGE" 8 "DK" 9 "REFUSE" ; label define Q16 1 "EXCELLENT" 2 "GOOD" 3 "FAIR" 4 "POOR" 5 "NOT IN CITY" 8 "DK" 9 "REFUSE" ; label define Q17 1 "EXCELLENT" 2 "GOOD" 3 "FAIR" 4 "POOR" 5 "NOT IN CITY" 8 "DK" 9 "REFUSE" ; label define Q18 1 "A LOT" 2 "SOME" 3 "VERY LITTLE" 4 "NONE" 8 "DK" 9 "REFUSE" ; label define Q19 1 "WASTE A LOT" 2 "WASTE SOME" 3 "WASTE LITTLE" 4 "WASTE NONE" 8 "DK" 9 "REFUSE" ; label define Q20 1 "APPROVE" 2 "DISAPROVE" 8 "DK" 9 "REFUSE" ; label define Q21 1 "FAVOR" 2 "OPPOSE" 8 "DK" 9 "REFUSE" ; label define Q22 1 "JOHN WAYNE ONLY" 2 "EL TORO ONLY" 3 "BOTH" 4 "OTHER" 8 "DK" 9 "REFUSE" ; label define Q23 1 "YES" 2 "NO" 8 "DK" 9 "REFUSE" ; label define Q24 1 "YES" 2 "NO" 8 "DK" 9 "REFUSE" ; label define Q25 1 "EXCELLENT" 2 "GOOD" 3 "FAIR" 4 "POOR" 5 "NOT IN CITY" 8 "DK" 9 "REFUSE" ; label define Q26 1 "FOR TAX HIKE" 2 "AGAINST TAX HIKE" 8 "DK" 9 "REFUSE" ; label define Q27 1 "FAVOR" 2 "OPPOSE" 8 "DK" 9 "REFUSE" ; label define Q28 1 "A LOT" 2 "SOME" 3 "NOT MUCH" 8 "DK" 9 "REFUSE" ; label define Q29 1 "FAVOR" 2 "OPPOSE" 8 "DK" 9 "REFUSE" ; label define Q30 1 "SATISFACTORY" 2 "MORE LANES ONLY" 3 "NEW FREEWAYS" 9 "DK, REFUSE" ; label define Q31 1 "VERY SATISFIED" 2 "SOMEWHAT SATISFIED" 3 "NOT SATISFIED" 4 "NOT WORKING" 8 "DK" 9 "REFUSE" ; label define Q32 1 "YES" 2 "NO" 8 "DK" 9 "REFUSE" ; label define Q33 1 "FAVOR" 2 "OPPOSE" 8 "DK" 9 "REFUSE" ; label define Q34 1 "FULL-TIME" 2 "PART-TIME" 3 "NOT EMPLOYED" 9 "REFUSE" ; label define Q35 1 "NO PROBLEM" 2 "SOME PROBLEM" 3 "GREAT PROBLEM" 9 "NA" ; label define Q36 1 "DEMOCRAT" 2 "REPUBLICAN" 3 "INDEP/OTHER" 4 "NOT REGD" 9 "REFUSE" ; label define Q37 1 "VERY LIBERAL" 2 "SOMEWHAT LIBERAL" 3 "MIDDLE OF ROAD" 4 "SOMEWHAT CONSERV" 5 "VERY CONSERV" 9 "REFUSE" ; label define Q38 1 "GREAT DEAL" 2 "FAIR AMT" 3 "A LITTLE" 4 "NONE" 8 "DK" 9 "REFUSE" ; label define Q39 1 "MOST OF TIME" 2 "SOME OF TIME" 3 "NOW AND THEN" 4 "HARDLY AT ALL" 8 "DK" 9 "REFUSE" ; label define Q40 1 "ALWAYS" 2 "NEARLY ALWAYS" 3 "PART OF TIME" 4 "SELDOM" 5 "NEVER" 6 "OTHER" 8 "DK" 9 "REFUSE" ; label define Q41 1 "NEARLY ALWAYS" 2 "MOST OF TIME" 3 "SOME OF TIME" 4 "NONE" 8 "DK" 9 "REFUSE" ; label define Q42 1 "A LOT" 2 "SOME" 3 "NOT MUCH" 8 "DK" 9 "REFUSE" ; label define Q43 1 "BIG INTERESTS" 2 "ALL PEOPLE" 8 "DK" 9 "REFUSE" ; label define Q44 1 "STRONGLY AGREE" 2 "SOMEWHAT AGREE" 3 "NEITHER" 4 "SOMEWHAT DISAGREE" 5 "STRONGLY DISAGREE" 8 "DK" 9 "REFUSE" ; label define Q45 1 "A GOOD DEAL" 2 "SOME" 3 "NOT MUCH" 8 "DK" 9 "REFUSE" ; label define Q46 1 "EVERY DAY" 2 "FEW X / WK" 3 "1 X / WK" 4 "<1 X / WK" 5 "NEVER" 8 "DK" 9 "REFUSE" ; label define Q47 1 "EVERY DAY" 2 "FEW X / WK" 3 "1 X / WK" 4 "<1 X / WK" 5 "NEVER" 8 "DK" 9 "REFUSE" ; label define Q48 1 "VERY CLOSELY" 2 "FAIRLY CLOSELY" 3 "NOT TOO CLOSELY" 4 "NOT AT ALL" 8 "DK" 9 "REFUSE" ; label define Q49 1 "VERY CLOSELY" 2 "FAIRLY CLOSELY" 3 "NOT TOO CLOSELY" 4 "NOT AT ALL" 8 "DK" 9 "REFUSE" ; label define Q50 1 "VERY CLOSELY" 2 "FAIRLY CLOSELY" 3 "NOT TOO CLOSELY" 4 "NOT AT ALL" 8 "DK" 9 "REFUSE" ; label define Q51 1 "VERY CLOSELY" 2 "FAIRLY CLOSELY" 3 "NOT TOO CLOSELY" 4 "NOT AT ALL" 8 "DK" 9 "REFUSE" ; label define Q52 1 "VERY CLOSELY" 2 "FAIRLY CLOSELY" 3 "NOT TOO CLOSELY" 4 "NOT AT ALL" 8 "DK" 9 "REFUSE" ; label define Q53 1 "VERY INVOLVED" 2 "SOMEWHAT INVOLVED" 3 "NOT REALLY INVOLVED" 8 "DK" 9 "REFUSE" ; label define Q54 1 "VERY INVOLVED" 2 "SOMEWHAT INVOLVED" 3 "NOT REALLY INVOLVED" 8 "DK" 9 "REFUSE" ; label define Q55 1 "VERY INVOLVED" 2 "SOMEWHAT INVOLVED" 3 "NOT REALLY INVOLVED" 8 "DK" 9 "REFUSE" ; label define Q56 1 "VERY INVOLVED" 2 "SOMEWHAT INVOLVED" 3 "NOT REALLY INVOLVED" 8 "DK" 9 "REFUSE" ; label define Q57 1 "VERY INVOLVED" 2 "SOMEWHAT INVOLVED" 3 "NOT REALLY INVOLVED" 8 "DK" 9 "REFUSE" ; label define Q58 1 "VERY INVOLVED" 2 "SOMEWHAT INVOLVED" 3 "NOT REALLY INVOLVED" 8 "DK" 9 "REFUSE" ; label define Q59 1 "VERY INVOLVED" 2 "SOMEWHAT INVOLVED" 3 "NOT REALLY INVOLVED" 8 "DK" 9 "REFUSE" ; label define Q60 1 "VERY INVOLVED" 2 "SOMEWHAT INVOLVED" 3 "NOT REALLY INVOLVED" 8 "DK" 9 "REFUSE" ; label define Q61 1 "18-34" 2 "35-54" 3 "55+" 9 "REFUSE" ; label define Q62 1 "< H.S." 2 "H.S. GRAD" 3 "SOME COLLEGE" 4 "COLLEGE GRAD" 5 "POST GRAD" 9 "REFUSE" ; label define Q63 1 "YES, PUBLIC SCHOOL" 2 "YES, NO PUB SCH" 3 "NO CHILDREN" 8 "DK" 9 "REFUSE" ; label define Q64 1 "ALISO VIEJO" 2 "ANAHEIM" 3 "BREA" 4 "BUENA PARK" 5 "CAPO BCH" 6 "COSTA MESA" 7 "COTO DE CAZA" 8 "CYPRESS" 9 "DANA POINT" 10 "EL TORO" 11 "FOUNT VAL" 12 "FULLERTON" 13 "G GROVE" 14 "HUNT BCH" 15 "IRVINE" 16 "LAGUNA BCH" 17 "LAGUNA HLS" 18 "LAGUNA NIG" 19 "LA HABRA" 20 "LA PALMA" 21 "LOS AL" 22 "MIDWAY CITY" 23 "MISSION V" 24 "NPT BEACH" 25 "ORANGE" 26 "PLACENTIA" 27 "PORTOLA HILLS" 28 "R SANTA MARG" 29 "ROSSMOOR" 30 "SAN CLEM" 31 "S J CAPO" 32 "SANTA ANA" 33 "SEAL BCH" 34 "SILVERADO" 35 "STANTON" 36 "SUNSET BCH" 37 "TRABUCO" 38 "TUSTIN" 39 "TUST FTHLS" 40 "VILLA PK" 41 "WESTMINST" 42 "YORBA L" 98 "OTHER OC" 99 "REFUSE" ; label define Q65 1 "UNDER $36,000" 2 "$36,000-$50,000" 3 "$50,001-$79,999" 4 "$80,000+" 9 "DK, REFUSE" ; label define Q66 1 "ASIAN" 2 "BLACK" 3 "HISPANIC" 4 "CAUCASIAN" 5 "OTHER" 9 "REFUSE" ; label define SEX 1 "MALE" 2 "FEMALE" ; label define LANG 1 "ENGLISH" 2 "SPANISH" ; label define YEAR 1999 "YEAR OF SURVEY" ; #delimit cr ******************************************************************* infile using X * Replace 'X' with the name of the dictionary file. * * The contents of the dictionary are given at the end of this file. * Put the dictionary into a separate file (by editing this file). * Then specify here the name of the dictionary file. ******************************************************************* * The md, min and max specifications were translated * into the following "REPLACE...IF" statements: dictionary using Y { ***************************************************************** * Replace 'Y' with the name of the data file. * The default suffix is '.raw'. * * Put this dictionary into a separate file (with the suffix .dct). * (The first line of the dictionary file must contain the * 'dictionary' command.) * * Then edit the name of that dictionary file into the 'do-file' * portion of the STATA definitions. ******************************************************************* * Records per case: _lines(1) _line(1) _column(1) int CASEID %4f "RESPONDENT ID" _column(5) int Q1 :Q1 %1f "RESIDENCE TYPE" _column(6) int Q2 :Q2 %1f "YEARS OF RESIDENCE (range)" _column(7) int Q3 :Q3 %1f "OWN CURRENT RESIDENCE?" _column(8) int Q4 :Q4 %1f "MONTHLY RENT (range)" _column(9) int Q5 :Q5 %1f "MONTHLY MORTGAGE (range)" _column(10) int Q6 :Q6 %1f "FINANCIALLY BETTER OFF THAN LAST YEAR?" _column(11) int Q7 :Q7 %1f "BETTER OFF NEXT YEAR?" _column(12) int Q8 :Q8 %1f "U.S. BUSINESS CONDITIONS NEXT 12 MONTHS" _column(13) int Q9 :Q9 %1f "U.S. BUSINESS CONDITIONS NEXT 5 YEARS" _column(14) int Q10 :Q10 %1f "MAJOR HOUSEHOLD PURCHASES" _column(15) int Q11 :Q11 %1f "ORANGE COUNTY ECONOMY" _column(16) int Q12 :Q12 %1f "INVESTING IN HOMES IN ORANGE COUNTY" _column(17) int Q13 :Q13 %1f "QUALITY OF LIFE?" _column(18) int Q14 :Q14 %2f "MOST IMPORTANT ISSULE FACING ORANGE COUNTY?" _column(20) int Q15 :Q15 %1f "ORANGE COUNTY A BETTER PLACE TO LIVE?" _column(21) int Q16 :Q16 %1f "CITY GOVERNMENT PERFORMANCE" _column(22) int Q17 :Q17 %1f "COUNTY GOVERNMENT PERFORMANCE" _column(23) int Q18 :Q18 %1f "COUNTY'S ATTENTION PAID TO PEOPLE" _column(24) int Q19 :Q19 %1f "COUNTY WASTING TAXES?" _column(25) int Q20 :Q20 %1f "COUNTY & EL TORO" _column(26) int Q21 :Q21 %1f "FAVOR EL TORO AIRPORT?" _column(27) int Q22 :Q22 %1f "ORANGE COUNTY AIR TRAVEL NEEDS" _column(28) int Q23 :Q23 %1f "SAFE AND HEALTHY COMMUNITIES INITIATIVE" _column(29) int Q24 :Q24 %1f "VOTE IF INITIATIVE STOPS AIRPORT" _column(30) int Q25 :Q25 %1f "SATISFIED WITH LOCAL PUBLIC SCHOOLS?" _column(31) int Q26 :Q26 %1f "RAISE TAXES FOR LOCAL SCHOOLS" _column(32) int Q27 :Q27 %1f "PASS SCHOOL BONDS WITH SIMPLE MAJORITY" _column(33) int Q28 :Q28 %1f "CONFIDENCE IN LOCAL SCHOOL DISTRICT" _column(34) int Q29 :Q29 %1f "SCHOOL VOUCHERS" _column(35) int Q30 :Q30 %1f "SATISFIED WITH LOCAL FREEWAYS?" _column(36) int Q31 :Q31 %1f "SATISFIED WITH USE OF MEASURE M FUNDS" _column(37) int Q32 :Q32 %1f "EXTENDING MEASURE M?" _column(38) int Q33 :Q33 %1f "PASS TRANSPORTATION TAXES WITH SIMPLE MAJORITY" _column(39) int Q34 :Q34 %1f "WORK STATUS" _column(40) int Q35 :Q35 %1f "TRAFFIC CONGESTION DURING COMMUTE" _column(41) int Q36 :Q36 %1f "PARTY REGISTRATION" _column(42) int Q37 :Q37 %1f "CONSIDER YOURSELF POLITICALLY" _column(43) int Q38 :Q38 %1f "HOW INTERESTED IN POLITICS" _column(44) int Q39 :Q39 %1f "FOLLOW GOVERNMENT AND PUBLIC AFFAIRS" _column(45) int Q40 :Q40 %1f "VOTE FREQUENCY" _column(46) int Q41 :Q41 %1f "TRUST GOVERNMENT TO DO WHAT IS RIGHT?" _column(47) int Q42 :Q42 %1f "GOVERNMENT WASTES TAX MONEY?" _column(48) int Q43 :Q43 %1f "GOVERNMENT RUN BY BIG INTERESTS?" _column(49) int Q44 :Q44 %1f "PEOPLE HAVE SAY IN WHAT GOVERNMENT DOES" _column(50) int Q45 :Q45 %1f "ELECTIONS MAKE GOVERNMENT PAY ATTENTION" _column(51) int Q46 :Q46 %1f "WATCH LOCAL NEWS ON TV" _column(52) int Q47 :Q47 %1f "READ LOCAL NEWSPAPER" _column(53) int Q48 :Q48 %1f "FOLLOWED EL TORO STORIES" _column(54) int Q49 :Q49 %1f "FOLLOWED LITTLE SAIGON PROTEST STORIES" _column(55) int Q50 :Q50 %1f "FOLLOWED COSTA MESA PRESCHOOL STORIES" _column(56) int Q51 :Q51 %1f "FOLLOWED NG TRIAL STORIES" _column(57) int Q52 :Q52 %1f "FOLLOWED SWITCHED BABIES STORIES" _column(58) int Q53 :Q53 %1f "EARNING MONEY" _column(59) int Q54 :Q54 %1f "TAKING CARE OF FAMILY" _column(60) int Q55 :Q55 %1f "VISITING FRIENDS" _column(61) int Q56 :Q56 %1f "RELIGIOUS ACTIVITIES" _column(62) int Q57 :Q57 %1f "POLITICAL ACTIVITIES" _column(63) int Q58 :Q58 %1f "WORKING ON LOCAL ISSUES" _column(64) int Q59 :Q59 %1f "WORKING ON STATE ISSUES" _column(65) int Q60 :Q60 %1f "VOLUNTEER WORK" _column(66) int Q61 :Q61 %1f "AGE (range)" _column(67) int Q62 :Q62 %1f "LAST GRADE OF SCHOOL COMPLETED" _column(68) int Q63 :Q63 %1f "HAVE KIDS IN PUBLIC SCHOOLS?" _column(69) int Q64 :Q64 %2f "CITY OR COMMUNITY OF RESIDENCE" _column(71) int Q65 :Q65 %1f "ANNUAL HOUSEHOLD INCOME (range)" _column(72) int Q66 :Q66 %1f "RACE AND ETHNICITY" _column(73) int SEX :SEX %1f "GENDER (sex)" _column(74) int LANG :LANG %1f "LANGUAGE OF INTERVIEW" _column(75) int YEAR :YEAR %4f "YEAR OF SURVEY" }