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lordif (version 0.1-9)

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

1,080

Version

0.1-9

License

GPL (>= 2)

Maintainer

Seung W Choi

Last Published

November 30th, 2010

Functions in lordif (0.1-9)

extract

extracts item parameters
Anxiety

A Measure of Anxiety
separate

splits item response vectors of DIF items by group
tcc

computes a test characteristic curve (tcc)
lordif-package

LOgistic Regression Differential Item Functioning using IRT
collapse

collapses response categories
getcutoff

determines a cutoff threshold
recode

recodes item responses
probgrm

calculates item response probabilities
plot.lordif

Plot method for lordif class
rundif

runs ordinal logistic regression DIF
calctheta

calculates EAP theta and associated standard error
runolr

runs ordinal logistic regression models
montecarlo

performs Monte Carlo simulations for empirical cutoff thresholds
lordif

performs LOgistic Regression Differential Item Functioning using IRT
equate

performs Stocking-Lord Equating
calcprob

calculates item response probabilities
plot.lordif.MC

Plot method for Monte Carlo simulation output