item_obsexp: Observed and Expected Item Mean Scores

In iarm: Item Analysis in Rasch Models

Observed and Expected Item Mean Scores

Description

Homogeneity of item responses in the low and high score groups is analyzed by looking at observed and expected item mean scores together with standardized residuals. If the Andersen's CLR test has shown some evidence against homogeneity, this comparison can indicate which items might be responsible.

Usage

item_obsexp(object)

Arguments

object

An object of class "Rm", a fitted Rasch model or partial credit model using the functions RM or PCM in package eRm, or an object of class "pcmodel", a fitted partial credit model using the function pcmodel in package psychotools.

Value

list with observed and expected mean scores together with standardized residuals for the two score groups.

Author(s)

Marianne Mueller

Examples

rm.mod <- RM(amts[,4:13])
item_obsexp(rm.mod)
## Not run: 
pc.mod <- PCM(desc2[,5:14])
item_obsexp(pc.mod)

## End(Not run)

iarm documentation built on Aug. 27, 2022, 5:06 p.m.