title: A general framework and an R package for the detection of dichotomous differential item functioning.
abstract: Differential item functioning (DIF) is an important issue of interest in psychometrics and educational measurement. Several methods have been proposed in recent decades for identifying items that function differently between two or more groups of examinees. Starting from a framework for classifying DIF detection methods and from a comparative overview of the most traditional methods, an R package for nine methods, called difR, is presented. The commands and options are briefly described, and the package is illustrated through the analysis of a data set on verbal aggression.
authors.affiliation: Katholieke Universiteit Leuven, Leuven, Belgium. david.magis@ulg.ac.be
authors.forename: David
authors.initials: D
authors.lastname: Magis
authors.forename: Sébastien
authors.initials: S
authors.lastname: Béland
authors.forename: Francis
authors.initials: F
authors.lastname: Tuerlinckx
authors.forename: Paul
authors.initials: P
authors.lastname: De Boeck
mesh_terms: D000465:Algorithms; D004521:Educational Measurement / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D020407:Internet; D016013:Likelihood Functions; D016015:Logistic Models; D015233:Models, Statistical; D009483:Neuropsychological Tests; D011336:Probability; D011594:Psychometrics / Q000379:methods* / Q000706:statistics & numerical data; D012984:Software