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_prochoice
A data frame with 5914 observations on the following 14 variables.
version
version identifier from ANES
caseid
time-series case identifier from ANES
health
oppose/"NFNO"/favor [0:2] abortion if pregnancy would hurt woman
fatal
oppose/"NFNO"/favor [0:2] abortion if pregnancy would cause woman to die
incest
oppose/"NFNO"/favor [0:2] abortion if pregnancy was caused by incest
rape
oppose/"NFNO"/favor [0:2] abortion if pregnancy was caused by rape
bd
oppose/"NFNO"/favor [0:2] abortion if fetus would be born with serious birth defect
fin
oppose/"NFNO"/favor [0:2] abortion if having child would impose financial hardship
sex
oppose/"NFNO"/favor [0:2] abortion if the child will not be the sex the woman wants
choice
oppose/"NFNO"/favor [0:2] abortion if woman chooses to have one
pid
respondent's partisanship [0:2] (Democrat, Independent, Republican)
knowspeaker
was the respondent able to correctly identify the Speaker of the House (John Boehner)
addchoice
an additive scale of the abortion scores [0:16]
lchoice
a continuous latent scale of pro-choice scores (from a simple graded response model)
"NFNO" = "Neither Favor Nor Oppose"