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aiDIF  

Differential Item Functioning for AI-Scored Assessments
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("aiDIF", "0.1.0")



Attach the package and use:
library("aiDIF")
Maintained by
Subir Hait
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
Detects and quantifies differential item functioning (DIF) in AI-scored educational and psychological assessments. Provides a fully self-contained robust DIF engine (M-estimation via iteratively re-weighted least squares with the bi-square loss) alongside the novel Differential AI Scoring Bias (DASB) test, which detects item-level scoring shifts that differ across subgroups when comparing human and AI scoring conditions. Includes simulation utilities, anchor weight diagnostics, and an AI-effect classification framework.
How to cite:
Subir Hait (2026). aiDIF: Differential Item Functioning for AI-Scored Assessments. R package version 0.1.0, https://cran.r-project.org/web/packages/aiDIF. Accessed 29 Jul. 2026.
Previous versions and publish date:
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Full aiDIF package functions and examples
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