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.
- Version6.0.0
- R versionR (≥ 3.0.0)
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- difR citation info
- Last release05/26/2025
Documentation
Team
Sebastien Beland
MaintainerShow author detailsCarl F. Falk
Show author detailsRolesAuthorGilles Raiche
Show author detailsRolesAuthor
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- Imports7 packages
- Reverse Imports3 packages
- Reverse Suggests1 package