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iDIFr  

Intersectional Differential Item Functioning Analysis
View on CRAN: Click here


Download and install iDIFr package within the R console
Install from CRAN:
install.packages("iDIFr")

Install from Github:
library("remotes")
install_github("cran/iDIFr")

Install by package version:
library("remotes")
install_version("iDIFr", "1.0.1")



Attach the package and use:
library("iDIFr")
Maintained by
Thomas Rogers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-08
Latest Update: 2026-06-08
Description:
A toolkit for detecting Differential Item Functioning (DIF) using Logistic Regression (LR) as described in Swaminathan and Rogers (1990) <doi:10.1111/j.1745-3984.1990.tb00754.x>, the IRT Likelihood Ratio Test (LRT) following Thissen, Steinberg & Wainer (1993, ISBN:0-8058-0972-4), and model-based recursive partitioning (MOB) as implemented in 'strucchange' following Strobl, Kopf and Zeileis (2015) <doi:10.1007/s11336-013-9388-3>. Designed for both standard two-group and intersectional multi-group designs, 'iDIFr' prioritises effect size reporting alongside statistical significance, clear guidance on group construction, and interpretable output suitable for applied testing contexts. Built-in Intersectional Contrast Analysis (ICA) classifies items as amplified, pure-intersection, obscured, or none by comparing single-variable and intersectional analyses.
How to cite:
Thomas Rogers (2026). iDIFr: Intersectional Differential Item Functioning Analysis. R package version 1.0.1, https://cran.r-project.org/web/packages/iDIFr. Accessed 16 Jul. 2026.
Previous versions and publish date:
No previous versions
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View iDIFr citation profile
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Complete documentation for iDIFr
Functions, R codes and Examples using the iDIFr R package
Full iDIFr package functions and examples
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