Sammenlign metoder

	Differential Item Functioning (CAT-DIF) ved computer-baseret adaptiv test	Analyse af genstande i computerbaserede adaptive tests
Fagområde	Psykometri	Psykometri
Familie	Latent structure	Latent structure
Oprindelsesår	1990s–2000s	1970s–1990s
Ophavsperson	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
Oprindelig kilde	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
Aliasser	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
Relaterede	6	6
Resumé	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.