VerbAgg (Verbal Aggression item responses) Data: library(lme4) data(VerbAgg) Description: 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. Format: A data frame with 7584 observations on the following 13 variables. Anger - the subject's Trait Anger score as measured on the State-Trait Anger Expression Inventory (STAXI) Gender - the subject's gender - a factor with levels M and F item - the item on the questionaire, as a factor resp - the subject's response to the item - an ordered factor with levels no < perhaps < yes id - the subject identifier, as a factor btype - behavior type - a factor with levels curse, scold and shout situ - situation type - a factor with levels other and self indicating other-to-blame and self-to-blame mode - behavior mode - a factor with levels want and do r2 - dichotomous version of the response - a factor with levels N and Y Source: http://bear.soe.berkeley.edu/EIRM/ References: De Boeck and Wilson (2004), Explanatory Item Response Models, Springer. Task: Model the subject's response to item (resp and r2 separately).