difR: Collection of Methods to Detect Dichotomous and Polytomous Differential Item Functioning (DIF)

Methods to detect differential item functioning (DIF) in dichotomous and polytomous items, using both classical and modern approaches. These include Mantel-Haenszel procedures, logistic regression (including ordinal models), and regularization-based methods such as LASSO. Uniform and non-uniform DIF effects can be detected, and some methods support multiple focal groups. The package also provides tools for anchor purification, rest score matching, effect size estimation, and DIF simulation. See Magis, Beland, Tuerlinckx, and De Boeck (2010, Behavior Research Methods, 42, 847–862, <doi:10.3758/BRM.42.3.847>) for a general overview.

install.packages("difR")

Try the difR package in your browser