A general framework and an R package for the detection of dichotomous differential item functioning

View Researcher's Other Codes

Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).

Authors David Magis, Sébastien Béland, Francis Tuerlinckx, Paul De Boeck
Journal/Conference Name Behavior research methods
Paper Category
Paper 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.
Date of publication 2010
Code Programming Language R

Copyright Researcher 2022