aiDIF
Differential Item Functioning for AI-Scored Assessments
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | aiDIF_0.1.0.tar.gz |
110.3 KiB |
0.1.0 |
rolling linux/noble R-4.5 | aiDIF_0.1.0.tar.gz |
109.9 KiB |
0.1.0 |
rolling source/ R- | aiDIF_0.1.0.tar.gz |
32.4 KiB |
0.1.0 |
latest linux/jammy R-4.5 | aiDIF_0.1.0.tar.gz |
110.3 KiB |
0.1.0 |
latest linux/noble R-4.5 | aiDIF_0.1.0.tar.gz |
109.9 KiB |
0.1.0 |
latest source/ R- | aiDIF_0.1.0.tar.gz |
32.4 KiB |
0.1.0 |
2026-04-26 source/ R- | aiDIF_0.1.0.tar.gz |
32.4 KiB |
0.1.0 |
2026-04-23 source/ R- | aiDIF_0.1.0.tar.gz |
32.4 KiB |