Comparar métodos

	CAT-DIF	Análisis de Ítems de Pruebas Adaptativas Computarizadas
Campo	Psicometría	Psicometría
Familia	Latent structure	Latent structure
Año de origen	1990s–2000s	1970s–1990s
Autor original	Wainer, Zwick, and colleagues in the CAT and DIF literatures	Lord, Weiss, and colleagues in psychometric research on adaptive testing
Tipo	Item bias detection in adaptive testing	Item calibration and evaluation
Fuente seminal	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
Relacionados	6	6
Resumen	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.