Man pages for aiDIF
Differential Item Functioning for AI-Scored Assessments
| ai_effect_summary | Summarise the effect of AI scoring on DIF flagging. |
| anchor_weights | Anchor item weights from the robust AI-DIF procedure. |
| bisq_psi | Bi-square psi (influence) function |
| bisq_psi_prime | Derivative of bi-square psi |
| bisq_rho | Bi-square rho (objective) function |
| bisq_weight | Bi-square weight function |
| build_joint_vcov | Block-diagonal joint covariance matrix for both groups |
| compute_scaling_fn | Compute item-level IRT scaling functions |
| estimate_robust_scale | Robust DIF scale estimation via IRLS |
| fit_aidif | Fit the AI-DIF model |
| grad_intercept_fn | Gradient of the intercept scaling function |
| grid_rho_search | Grid search for bi-square objective minimum (starting value) |
| lts_location | Least trimmed squares estimate of location (starting value) |
| 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"'. |
| 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"'. |
| vcov_scaling_fn | Delta-method covariance matrix of the scaling functions |
| wald_dif_test | Wald item-level DIF test |
| wald_dtf_test | Wald test of differential test functioning (DTF) |
