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Analysis of Differential Item Functioning (DIF) for dichotomous and polytomous items, using an iterative hybrid of (ordinal) logistic regression and item response theory (IRT).
● Data Source:
CranContrib
● Keywords: package
● Alias: lordif-package
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plots diagnostic graphs for items flagged for DIF
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: plot.lordif
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calcprob
(Package: lordif) :
calculates item response probabilities
Calculates item response probabilities over a theta grid according to either the GRM or the GPCM.
● Data Source:
CranContrib
● Keywords:
● Alias: calcprob
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calctheta
(Package: lordif) :
calculates EAP theta estimates and associated standard errors
Calculates Expected A Posteriori (EAP) theta estimates and associated standard error estimates (posterior standard deviations).
● Data Source:
CranContrib
● Keywords:
● Alias: calctheta
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getcutoff
(Package: lordif) :
determines a cutoff threshold
Determines an empirical cutoff value for statistics generated from a Monte Carlo simulation.
● Data Source:
CranContrib
● Keywords:
● Alias: getcutoff
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DFIT
(Package: lordif) :
calculates DFIT statistics
Calculates DFIT statistics using an object of class "lordif"
● Data Source:
CranContrib
● Keywords:
● Alias: DFIT
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Produces plots for Monte Carlo output
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: plot.lordif.MC
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Splits item response vectors of DIF items into separate group-specific vectors.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: separate
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performs permutation tests under no-DIF conditions to generate empirical distributions of DIF statistics
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: permute
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performs Monte Carlo simulations under no-DIF conditions to generate empirical distributions of statistics
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: montecarlo
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providing 
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