IRT.itemfit: S3 Methods for Computing Item Fit

In alexanderrobitzsch/CDM: Cognitive Diagnosis Modeling

S3 Methods for Computing Item Fit

Description

This S3 method computes some selected item fit statistic.

Usage

IRT.itemfit(object, ...)

## S3 method for class 'din'
IRT.itemfit(object, method="RMSEA", ...)

## S3 method for class 'gdina'
IRT.itemfit(object, method="RMSEA", ...)

## S3 method for class 'gdm'
IRT.itemfit(object, method="RMSEA", ...)

## S3 method for class 'reglca'
IRT.itemfit(object, method="RMSEA", ...)

## S3 method for class 'slca'
IRT.itemfit(object, method="RMSEA", ...)

Arguments

object	Object of classes din, gdina, gdm, slca, reglca.
method	Method for computing item fit statistic. Until now, only method="RMSEA" (see itemfit.rmsea) can be used.
...	More arguments to be passed.

Value

Vector or data frame with item fit statistics.

See Also

For extracting the individual likelihood or posterior see IRT.likelihood or IRT.posterior.

Examples

## Not run: 
#############################################################################
# EXAMPLE 1: DINA model item fit
#############################################################################

data(sim.dina, package="CDM")
data(sim.qmatrix, package="CDM")

# estimate model
mod1 <- CDM::din( sim.dina, q.matrix=sim.qmatrix)
# compute item fit
IRT.itemfit( mod1 )

## End(Not run)

alexanderrobitzsch/CDM documentation built on July 3, 2024, 7:42 p.m.