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lordif (version 0.1-1)

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

0.1-1

License

GPL (>= 2)

Maintainer

Seung W Choi

Last Published

July 26th, 2009

Functions in lordif (0.1-1)

montecarlo

performs Monte Carlo simulations for empirical cutoff thresholds
lordif

performs Logistic Regression Differential Item Functioning using IRT
equate

performs Stocking-Lord Equating
collapse

collapses response categories
lordif-package

Logistic Regression Differential Item Functioning using IRT
calctheta

calculates EAP theta and associated standard error
runolr

runs ordinal logistic regression models
calcprob

calculates item response probabilities
probgrm

calculates item response probabilities
tcc

computes a test characteristic curve (tcc)
plotMC

plots Monte Carlo output
extract

extracts item parameters
rundif

runs ordinal logistic regression DIF
recode

recodes item responses
separate

splits item response vectors of DIF items by group
plot.lordif.MC

Plot method for Monte Carlo simulation output
getcutoff

determines a cutoff threshold
plot.lordif

Plot method for lordif class
Anxiety

A Measure of Anxiety
plotDIF

plots DIF graphs for flagged items