Strategies

Use DFIT indices with empirically established cutoffs and iterative linking to screen polytomous tests for DIF and DTF

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Evidence · 3 claims (3 for) · 2 studies (2 causal), q2 · 0 of 2 report an effect size · 3 claims rest on one study

Description

The article outlines a practical workflow for test developers: estimate item parameters with PARSCALE, link the Reference Group metric to the Focal Group metric with a two-stage iterative linking procedure, compute C-DIF and NC-DIF, and apply an empirically established cutoff value (.016 in this study) to flag items. The authors suggest that "a test developercould examine the DTF,then determine which itemneeds to be eliminated based on its C-DIFvalue and its.overallcontribution to DTF."

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Page metadata
Field Value
type strategy
id dfit-screening-workflow-polytomous-tests
title Use DFIT indices with empirically established cutoffs and iterative linking to screen polytomous tests for DIF and DTF
description The article outlines a practical workflow for test developers: estimate item parameters with PARSCALE, link the Reference Group metric to the Focal Group metric with a two-stage iterative linking procedure, compute C-...
status review
generated by process:wiki-ingest on 2026-09-26
trust unverified — no one has confirmed this page's content
sources 1 — flowers-1996

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