A simple data set for in-class illustration about how to estimate and interpret interactive relationships. The data here are deliberately minimal for that end.
anes_prochoiceA data frame with 5914 observations on the following 14 variables.
versionversion identifier from ANES
caseidtime-series case identifier from ANES
healthoppose/"NFNO"/favor [0:2] abortion if pregnancy would hurt woman
fataloppose/"NFNO"/favor [0:2] abortion if pregnancy would cause woman to die
incestoppose/"NFNO"/favor [0:2] abortion if pregnancy was caused by incest
rapeoppose/"NFNO"/favor [0:2] abortion if pregnancy was caused by rape
bdoppose/"NFNO"/favor [0:2] abortion if fetus would be born with serious birth defect
finoppose/"NFNO"/favor [0:2] abortion if having child would impose financial hardship
sexoppose/"NFNO"/favor [0:2] abortion if the child will not be the sex the woman wants
choiceoppose/"NFNO"/favor [0:2] abortion if woman chooses to have one
pidrespondent's partisanship [0:2] (Democrat, Independent, Republican)
knowspeakerwas the respondent able to correctly identify the Speaker of the House (John Boehner)
addchoicean additive scale of the abortion scores [0:16]
lchoicea continuous latent scale of pro-choice scores (from a simple graded response model)
"NFNO" = "Neither Favor Nor Oppose"