Logistic Ordinal Regression Differential Item Functioning using IRT

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Documentation for package ‘lordif’ version 0.4.2

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lordif-package Logistic Ordinal Regression Differential Item Functioning using IRT
Anxiety A Measure of Anxiety
calcprob calculates item response probabilities
calctheta calculates EAP theta estimates and associated standard errors
collapse collapses response categories
DFIT calculates DFIT statistics
equate performs Stocking-Lord Equating
extract extracts IRT item parameters
getcutoff determines a cutoff threshold
lordif performs Logistic Ordinal Regression Differential Item Functioning using IRT
montecarlo performs Monte Carlo simulations to generate empirical distributions
permute performs permutation test for empirical cutoff thresholds
plot.lordif Plot method for lordif class
plot.lordif.MC Plot method for Monte Carlo simulation output
probgpcm calculates item response probabilities according to GPCM
probgrm calculates item response probabilities according to GRM
recode recodes item responses
rundif runs ordinal logistic regression DIF
runolr runs ordinal logistic regression models
separate splits item response vectors of DIF items by group
tcc computes a test characteristic curve (tcc)