Comparer des méthodes

	CAT-DIF	Analyse d'items pour tests adaptatifs informatisés
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1990s–2000s	1970s–1990s
Auteur d'origine	Wainer, Zwick, and colleagues in the CAT and DIF literatures	Lord, Weiss, and colleagues in psychometric research on adaptive testing
Type	Item bias detection in adaptive testing	Item calibration and evaluation
Source fondatrice	Zwick, R., Thayer, D. T., & Mazzeo, J. (1997). Describing and categorizing DIF in polytomous items. Journal of Educational Measurement, 34(4), 261–285.	van der Linden, W. J. & Glas, C. A. W. (Eds.) (2000). Computerized Adaptive Testing: Theory and Practice. Kluwer Academic Publishers. ISBN: 978-0792365556
Alias	CAT DIF analysis, adaptive test DIF, DIF in computerized adaptive testing, CAT item bias detection	CAT item analysis, adaptive item calibration, IRT-based CAT item evaluation, adaptive item parameter estimation
Apparentées	6	6
Résumé	CAT-DIF identifies items in a computerized adaptive test that behave differently across demographic or group subpopulations after controlling for overall ability. Because adaptive algorithms select items non-randomly based on each examinee's estimated proficiency, standard DIF detection methods require adjustment before they can be validly applied in this context.	Computerized adaptive test item analysis evaluates and calibrates items intended for use in adaptive testing environments. Unlike fixed-form analysis, it accounts for the non-random item exposure inherent in adaptive administration, using item response theory to estimate item parameters, information functions, and exposure rates across the ability continuum.