Differential Item Functioning for AI-Scored Assessments
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Documentation for package ‘aiDIF’ version 0.2.0
Help Pages
| ai_effect_summary | Summarise the effect of AI scoring on DIF flagging |
| anchor_weights | Anchor item weights from the robust AI-DIF procedure |
| as_aidif | Convert a fitted IRT model into aiDIF input |
| as_aidif.MultipleGroupClass | Convert a fitted IRT model into aiDIF input |
| estimate_robust_scale | Robust DIF scale estimation via IRLS |
| fit_aidif | Fit the AI-DIF model |
| make_aidif_eg | Built-in example dataset for aiDIF |
| plot.aidif | S3 plot method for class '"aidif"' |
| print.aidif | S3 print method for class '"aidif"' |
| print.summary.aidif | Print method for '"summary.aidif"' objects |
| read_ai_scored | Validate and bundle paired human/AI parameter estimates |
| scoring_bias_test | Differential AI Scoring Bias (DASB) test |
| simulate_aidif_data | Simulate item parameter estimates for the AI-DIF model. |
| summary.aidif | S3 summary method for class '"aidif"' |