CODEBOOK: socsurvey ============================================================== All values are SIMULATED. No figure describes any real person, household, city, or country. Appendix B explains how each dataset was built and what it is for. Categorical variables are stored as integer codes; the mapping is given below. Sentinel missing codes (97, 98, 99) are left in place, NOT converted to NA -- recoding them is an exercise in several chapters. Rows: 477 Columns: 17 -------------------------------------------------------------- rid Respondent identifier [Integer] age Age in years [Numeric] gender Gender [Coded] 1 = Woman; 2 = Man; 3 = Another gender educ Highest level completed [Coded] 1 = Less than secondary; 2 = Secondary; 3 = College; 4 = Bachelor's; 5 = Graduate income Annual income, simulated dollars [Integer] ; top-coded region Region of residence [Coded] 1 = North; 2 = South; 3 = East; 4 = West; 5 = Central occupation Occupational group [Coded] 1 = Sales and service; 2 = Business, finance and administration; 3 = Natural and applied sciences; 4 = Management ideology Left--right self-placement [Coded] 0 = Left ... 10 = Right; 98 = Don't know; 99 = Refused trust_gov Trust in government [Coded] 0 = None ... 10 = Complete; 98 = Don't know; 99 = Refused civic1 Civic duty item 1 [Coded] 1 = Strongly disagree; 2 = Disagree; 3 = Neither; 4 = Agree; 5 = Strongly agree civic2 Civic duty item 2 [Coded] 1 = Strongly disagree; 2 = Disagree; 3 = Neither; 4 = Agree; 5 = Strongly agree civic3 Civic duty item 3 \textbf{(reverse-worded)} [Coded] 1 = Strongly disagree; 2 = Disagree; 3 = Neither; 4 = Agree; 5 = Strongly agree frame Experimental condition [Coded] 1, 2, 3; randomly assigned. See the section noted in Appendix B policy_support Support for the policy [Numeric] ; 0 = strongly oppose, 10 = strongly support voted Voted in the last election [Coded] 0 = No; 1 = Yes weight Survey weight [Numeric] income_rep Income as actually reported [Integer] ; NA where refused. Download only