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

Format

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)

Source

Data come from ANES's (2012) time series.

Details

"NFNO" = "Neither Favor Nor Oppose"