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lordif (version 0.1-2)

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

0.1-2

License

GPL (>= 2)

Maintainer

Seung W Choi

Last Published

October 14th, 2009

Functions in lordif (0.1-2)

extract

extracts item parameters

tcc

computes a test characteristic curve (tcc)

getcutoff

determines a cutoff threshold

collapse

collapses response categories

calctheta

calculates EAP theta and associated standard error

plotDIF

plots DIF graphs for flagged items

lordif-package

Logistic Regression Differential Item Functioning using IRT

calcprob

calculates item response probabilities

equate

performs Stocking-Lord Equating

plotMC

plots Monte Carlo output

lordif

performs Logistic Regression Differential Item Functioning using IRT

separate

splits item response vectors of DIF items by group

montecarlo

performs Monte Carlo simulations for empirical cutoff thresholds

recode

recodes item responses

rundif

runs ordinal logistic regression DIF

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runolr

runs ordinal logistic regression models

probgrm

calculates item response probabilities