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lordif (version 0.1-4)

Logistic Regression Differential Item Functioning using IRT

Description

Analysis of Differential Item Functioning (DIF) for dichotomous and polytomous items using an iterative hybrid of (ordinal) logistic regression and item response theory (IRT).

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Version

Install

install.packages('lordif')

Monthly Downloads

853

Version

0.1-4

License

GPL (>= 2)

Maintainer

Seung W Choi

Last Published

November 18th, 2009

Functions in lordif (0.1-4)

Anxiety

A Measure of Anxiety

lordif

performs Logistic Regression Differential Item Functioning using IRT

runolr

runs ordinal logistic regression models

lordif-package

Logistic Regression Differential Item Functioning using IRT

calcprob

calculates item response probabilities

recode

recodes item responses

montecarlo

performs Monte Carlo simulations for empirical cutoff thresholds

rundif

runs ordinal logistic regression DIF

calctheta

calculates EAP theta and associated standard error

getcutoff

determines a cutoff threshold

plotDIF

plots DIF graphs for flagged items

probgrm

calculates item response probabilities

plotMC

plots Monte Carlo output

equate

performs Stocking-Lord Equating

separate

splits item response vectors of DIF items by group

tcc

computes a test characteristic curve (tcc)

collapse

collapses response categories

extract

extracts item parameters