item_restscore: Item Restscore Association

In iarm: Item Analysis in Rasch Models

Item Restscore Association

Description

The observed Gamma coefficient between the score of a single item and the total score of the remaining items is compared with the corresponding expected Gamma coefficient under the Rasch model.

Usage

item_restscore(
  object,
  p.adj = c("BH", "holm", "hochberg", "hommel", "bonferroni", "BY", "none")
)

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.
p.adj	Correction method for multiple testing. The methods are "BH","holm", "hochberg", "hommel", "bonferroni", "BY", "none". See p.adjust.

Value

a matrix containing:

observed	observed gamma coefficients
expected	expected gamma coefficients
se	standard errors
pvalue	p values (under normal distribution assumption)
padj	adjusted p values if selected
sig	significance stars: 0 " *** " 0.001 " ** " 0.01 " * " 0.05 " . " 0.1 " " 1

Author(s)

Marianne Mueller

References

Kreiner, S. (2011). A note on item-restscore association in Rasch models. Applied Psychological Measurement, 35, 557-561.

Examples

rm.mod <- RM(amts[,4:13])
item_restscore(rm.mod)

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