| VerbAgg {lme4} | R Documentation |
These are the item responses to a questionaire on verbal aggression. These data are used throughout De Boeck and Wilson, Explanatory Item Response Models (Springer, 2004) to illustrate various forms of item response models.
A data frame with 7584 observations on the following 13 variables.
AngerGenderM and Fitemrespno < perhaps < yesidbtypecurse, scold and shoutsituother and self indicating other-to-blame and self-to-blamemodewant
and dor2N and Yhttp://bear.soe.berkeley.edu/EIRM/
De Boeck and Wilson (2004), Explanatory Item Response Models, Springer.
str(VerbAgg)
xtabs(~ item + resp, VerbAgg)
xtabs(~ btype + resp, VerbAgg)
round(100 * ftable(prop.table(xtabs(~ situ + mode + resp, VerbAgg), 1:2), 1))
person <- unique(subset(VerbAgg, select = c(id, Gender, Anger)))
if (require(lattice)) {
densityplot(~ Anger, person, groups = Gender, auto.key = list(columns = 2),
xlab = "Trait Anger score (STAXI)")
}