VerbAgg3: Verbal Aggression Data, Three-Category Items

In irtrees: Estimation of Tree-Based Item Response Models

Description

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 matrix with 316 persons, 24 three-category items, and two person covariates (trait anger and gender).

Source

http://bear.soe.berkeley.edu/EIRM/

References

De Boeck and Wilson (2004), Explanatory Item Response Models, Springer.

Examples

str(VerbAgg3)
mapping <- cbind(c(0,1,1), c(NA,0,1))
str(VerbAgg3T <- dendrify(VerbAgg3[,-c(1,2)], mapping))

Example output

 int [1:316, 1:26] 20 11 17 21 17 21 39 21 24 16 ...
 - attr(*, "dimnames")=List of 2
  ..$ : NULL
  ..$ : chr [1:26] "Anger" "Gender" "S1WantCurse" "S1WantScold" ...
'data.frame':	11195 obs. of  5 variables:
 $ value : num  0 0 1 1 1 1 1 0 0 1 ...
 $ item  : Factor w/ 24 levels "i01","i02","i03",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ person: Factor w/ 316 levels "p001","p002",..: 1 2 3 4 5 6 7 8 9 10 ...
 $ node  : Factor w/ 2 levels "node1","node2": 1 1 1 1 1 1 1 1 1 1 ...
 $ sub   : Factor w/ 48 levels "i01:node1","i01:node2",..: 1 1 1 1 1 1 1 1 1 1 ...

irtrees documentation built on Dec. 15, 2021, 1:08 a.m.