make_aidif_eg: Built-in example dataset for aiDIF

In aiDIF: Differential Item Functioning for AI-Scored Assessments

Built-in example dataset for aiDIF

Description

Constructs and returns the built-in example dataset: paired human and AI item parameter estimates for 6 items in two groups, with known DIF and DASB planted at specific items.

Usage

make_aidif_eg()

Details

The data-generating model includes:

• Item 1: DIF under human scoring (intercept +0.5 in focal group).

• Item 3: Differential AI Scoring Bias (DASB) — AI scoring adds +0.4 to the focal-group intercept only.

• Impact: 0.5 SD (focal group higher on latent trait).

• AI drift: uniform +0.1 calibration offset on all items in both groups.

Value

A list with elements human and ai, each a validated mle list (see simulate_aidif_data for format details).

See Also

simulate_aidif_data, fit_aidif

Examples

eg  <- make_aidif_eg()
mod <- fit_aidif(eg$human, eg$ai)
summary(mod)

aiDIF documentation built on April 22, 2026, 1:10 a.m.