Logistic Ordinal Regression Differential Item Functioning using IRT
calculates item response probabilities
calculates EAP theta estimates and associated standard errors
collapses response categories
calculates DFIT statistics
performs Stocking-Lord Equating
extracts IRT item parameters
determines a cutoff threshold
Logistic Ordinal Regression Differential Item Functioning using IRT
performs Logistic Ordinal Regression Differential Item Functioning usi...
performs Monte Carlo simulations to generate empirical distributions
performs permutation test for empirical cutoff thresholds
Plot method for Monte Carlo simulation output
Plot method for lordif class
calculates item response probabilities according to GPCM
calculates item response probabilities according to GRM
recodes item responses
runs ordinal logistic regression DIF
runs ordinal logistic regression models
splits item response vectors of DIF items by group
computes a test characteristic curve (tcc)
Performs analysis of Differential Item Functioning (DIF) for dichotomous and polytomous items using an iterative hybrid of ordinal logistic regression and item response theory (IRT) according to Choi, Gibbons, and Crane (2011) <doi:10.18637/jss.v039.i08>.