path = . title = SDA Extended Test Data records/case= 1 reclen = 95 ncases = 1113 * name = CASEID label = Case ID (numeric) type = numeric record = 1 column = 1 width = 6 * name = charid label = Character version of CASEID type = character record = 1 column = 1 width = 6 text= This version of the case ID is a character variable, instead of a numeric variable. It just redefines the same input field as the numeric CASEID. Note that the CASEID variable required for an SDA dataset can be either a numeric variable or a character variable. * name = spend label = Military spending type = numeric record = 1 column = 8 width = 1 md = 8,9 catlabels = 1 Too much 3 About right 5 Too little 8 Don't know 9 Refused text = This country faces many problems, none of which can be solved easily or inexpensively. I'm going to name some of these problems. For each one, please tell me whether you think we're spending too much money on them, too little money, or about the right amount. First, how about spending on the military, armaments, and defense? * name = spend2 label = Urban problems spending type = numeric record = 1 column = 10 width = 1 md = 8,9 catlabels = 1 Too much 3 About right 5 Too little 8 Don't know 9 Refused text = How about spending on solving the problems of the big cities? * name = spend3 label = Crime reduction spending type = numeric record = 1 column = 12 width = 1 md = 8,9 catlabels = 1 Too much 3 About right 5 Too little 8 Don't know 9 Refused text = How about spending on halting the rising crime rate? * name = spend4 label = Welfare spending type = numeric record = 1 column = 14 width = 1 md = 8,9 catlabels = 1 Too much 3 About right 5 Too little 8 Don't know 9 Refused text = How about spending on welfare or public assistance for poor people? * name = eqopp label = Eq opp for Blks/Wmen not job of govt type = numeric record = 1 column = 16 width = 1 md = 8,9 catlabels = 1 Agree 5 Disagree 8 Don't know 9 Refused text = While equal opportunity for [black and minorities / women] to succeed is important, it's not really the government's job to guarantee it. Would you say that you basically agree or basically disagree with that statement? (The wording of this item depends on the random variable 'eqrandom'.) * name = eqrandom label = Random number variable for eqopp type = numeric record = 1 column = 18 width = 1 catlabels = 1 Blacks 2 Women text = The values of this variable were generated at random. If this variable equals 1, eqopp asks about 'blacks and minorities'. If this variable equals 2, eqopp asks about 'women'. * name = ideo label = Political ideology in general type = numeric record = 1 column = 20 width = 1 max = 5 md = 8,9 catlabels = 1 Liberal 3 Conservative 5 Moderate 7 Never think of myself in those terms [Don't label] 8 Don't know [DK] 9 Refused text = In general, when it comes to politics, do you usually think of yourself as a liberal, a conservative, a moderate, or what? * name = party label = Party identification type = numeric record = 1 column = 22 width = 1 max = 5 md = 8,9 catlabels = 1 Republican 3 Democrat 5 Independent 6 No preference 7 Other 8 Don't know 9 Refused text = Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what? * name = age label = Age of respondent in years type = numeric record = 1 column = 24 width = 2 md = 99 catlabels = 97 97+ yrs 99 Refused text = How old were you on your last birthday? * name = income label = Income of household type = numeric record = 1 column = 27 width = 2 max = 11 md = 88,99 catlabels = 1 < 15 2 15 3 15- 25 4 25 5 25- 35 6 35 7 35- 40 8 40 9 40- 50 10 50 11 50+ 81 25- 40 82 >25 83 >40 84 <25 88 Don't know [DK] 91 25- 40 92 >25 93 >40 94 <25 99 Refused text = (This is the income summary variable, giving household income range, determined from a series of questions about whether income is above or below certain figures. The range '15-25' means, for example, that household income is above $15,000 but less than $25,000. Codes above 80 indicate that the respondents did not complete the series of income questions. Except for codes 88 and 99, however, some information is available.) * name = educ label = Education in years of schooling type = numeric record = 1 column = 30 width = 2 max = 17 md = 99 catlabels = 8 thru 8th 12 HS grad 16 Col grad 99 Refused text = What is the highest grade of school or year of college you COMPLETED? * name = employed label = Employment status type = numeric record = 1 column = 33 width = 2 md = 99 catlabels = 10 Fulltime 15 Parttime 20 Laid off 40 Unemployed 50 Retired 60 Permanently disabled [Perm disabled] 65 Temporarily disables [Temp disabled] 70 Keep house 80 Student 90 Other 99 Refused text = We'd like to know if you are now employed full-time, employed part-time, on temporary layoff, unemployed and looking for work, retired, a student, (a housewife), or what? IF R ASKS: By full-time, we mean 35 or more hours per week. * name = gender label = Gender of respondent type = numeric record = 1 column = 36 width = 1 catlabels = 1 Male 2 Female text = CODE OR ASK AS NEEDED: What sex are you? * name = marital label = Marital status type = numeric record = 1 column = 38 width = 1 md = 8,9 catlabels = 1 Married 2 Like married 3 Widowed 4 Separated 5 Divorced 6 Never married 8 Don't know 9 Refused text = Are you now married, or are you living with someone in a marriage-like relationship, widowed, divorced, or have you never been married? * name = race label = Race or ethnic group type = numeric record = 1 column = 40 width = 2 md = 88,99 catlabels = 1 White 2 Black 3 Hispanic 4 Native American 5 Asian 6 Filipino 7 Volunteered: Jewish [Vol: Jewish] 8 Other 99 Refused text = What race or ethnic group do you consider yourself? (If necessary: We mean white, black, Asian, Mexican-American Native American, or what?) * name = casewt label = Overall sampling weight type = numeric record = 1 column = 43 width = 6 decimals = 3 text = (Overall sampling weight. This weight adjusts for sampling stratum, number of adults in the selected household, and the number of telephone lines into the selected household. The weight is scaled so that the total number of weighted cases equals the number of unweighted cases -- 1113.) * name = yvar1 label = Like spend for 1st 500 cases type = numeric record = 1 column = 50 width = 1 md = 8,9 catlabels = 1 Too much 3 About right 5 Too little 8 Don't know 9 Refused text = The variables yvar1 and yvar2 are for testing. The values are taken from 'spend' (Military Spending). The first 500 cases of yvar1 are the same as spend. The remainder are set to 9 (MD). For yvar2, the first 500 cases are set to 9 (MD). The remainder are the same as spend. * name = yvar2 label = Like spend for cases 501+ type = numeric record = 1 column = 52 width = 1 md = 8,9 catlabels = 1 Too much 3 About right 5 Too little 8 Don't know 9 Refused text = The variables yvar1 and yvar2 are for testing. The values are taken from 'spend' (Military Spending). The first 500 cases of yvar1 are the same as spend. The remainder are set to 9 (MD). For yvar2, the first 500 cases are set to 9 (MD). The remainder are the same as spend. * name = yspend3 label = Like spend3 with D and R for MD type = numeric record = 1 column = 54 width = 1 md = D, R catlabels = 1 Too much 3 About right 5 Too little D Don't know R Refused text = The values are taken from 'spend3' (Crime Reduction). Codes 8 and 9 are changed to D and R and set to MD. * name = yspend4 label = Like spend4 with 8 changed to blank type = numeric record = 1 column = 56 width = 1 md = 9 catlabels = 1 Too much 3 About right 5 Too little 9 Refused text = The values are taken from 'spend4' (Welfare Spending). Code 8 is changed to blank -- becomes system MD * name = ymd label = Has various kinds of MD type = numeric record = 1 column = 58 width = 3 md = D, dk, R, Ref, -.9, -1. decimals = 1 catlabels = D Don't know dk don't know R Refused Ref refused -.9 MD code -1 MD code text = The are 10 cases each with the following MD codes: D, dk, R, Ref, -1., -9 (becomes -.9), and blank * name = cgender label = Gender coded M and F type = character record = 1 column = 62 width = 1 catlabels = M Male F Female text = CODE OR ASK AS NEEDED: What sex are you? (Same as 'gender' but 1 changed to M and 2 changed to F.) * name = cparty label = Party but with full text names type = character record = 1 column = 64 width = 11 md_c = "Don't know", "No pref", Other, Refused text = Same as 'party' but the parties are changed to full text names like 'Democrat', 'Republican', 'Independent'. * name = ybig label = Number with large values and mixed MD codes type = numeric record = 1 column = 76 width = 9 md = D, d, R, r, -.009, -1. decimals = 3 catlabels = D Don't know d don't know R Refused r refused -.009 MD code -1 MD code text = This variable has many large values, uses 32 bits. The are 10 cases each with the following MD codes: D, d, R, R, -1., -9 (becomes -.009), and blank * name = yweight label = Like casewt but with some decimals type = numeric record = 1 column = 86 width = 5 decimals = 3 text = This variable has the same values as 'casewt'. The first 500 cases have no decimal points in the ASCII data file (like 'casewt') The remaining cases have decimal points in the ASCII data file (3 decimal places). The values of 'casewt' and 'yweight' should be the same in the SDA dataset. * name = randgrp label = Random groups 1-10 type = numeric record = 1 column = 92 width = 2 text = These groups are assigned at random, for purposes of testing standard error procedures. This variable can be treated as a cluster variable. This variable was created by 'compute' with the following expression: randgrp = duniform(1,10) catlabels= 1 Lowest group 10 Highest group * name = y1 label = Constant value of 1 for all cases type = numeric record = 1 column = 95 text = This variable has the value of 1 for all cases. It can be used for testing various programs. It can also be used as a stratum variable, to force all categories of 'randgrp' to be treated as cluster values within the same stratum. This variable was created by 'compute' with the following expression: y1 = 1 catlabels= 1 Constant value *