Σύγκριση μεθόδων

	Αξιοπιστία Επαναληπτικών Δοκιμών σε Προσαρμοστικό Ηλεκτρονικό Τεστ	Θεωρία Απόκρισης Ερωτήσεων (IRT)
Πεδίο	Ψυχομετρία	Ψυχομετρία
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	1970s–1980s	1952–1968
Δημιουργός	David J. Weiss and colleagues (adaptive testing reliability literature)	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
Τύπος	Reliability estimation	Probabilistic measurement model
Θεμελιώδης πηγή	Weiss, D. J. (2004). Computerized adaptive testing for effective and efficient measurement in counseling and education. Measurement and Evaluation in Counseling and Development, 37(2), 70–84.	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
Εναλλακτικές ονομασίες	CAT temporal stability, adaptive test retest reliability, CAT score consistency, computerized adaptive testing reliability	IRT, latent trait theory, item characteristic curve theory, modern test theory
Συναφείς	4	5
Σύνοψη	Computerized adaptive test (CAT) test-retest reliability quantifies the consistency of ability estimates obtained when the same examinees complete a CAT on two separate occasions. Because adaptive algorithms tailor each examinee's item set individually, traditional reliability frameworks must be adapted to account for non-overlapping item exposures across administrations.	Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons.