Σύγκριση μεθόδων

	Γενικευσιμότητα Θεωρίας σε Προσαρμοστικά Τεστ Υπολογιστή	Ανάλυση Αξιοπιστίας Η/Υ Προσαρμοστικών Τεστ
Πεδίο	Ψυχομετρία	Ψυχομετρία
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	1972 (G-theory); CAT application 1990s–2000s	1970s–1980s
Δημιουργός	Lee J. Cronbach (G-theory); applied to CAT by Brennan and others	David J. Weiss and IRT psychometricians
Τύπος	Reliability / generalizability analysis	Reliability estimation under adaptive testing
Θεμελιώδης πηγή	Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826	Weiss, D. J. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21(4), 361–375.
Εναλλακτικές ονομασίες	CAT G-theory, adaptive test generalizability, G-theory in CAT, computerized adaptive generalizability analysis	CAT reliability, adaptive test reliability, IRT-based reliability estimation, marginal reliability in CAT
Συναφείς	6	4
Σύνοψη	Generalizability theory (G-theory) applied to computerized adaptive testing (CAT) evaluates the dependability of adaptive test scores by decomposing score variance across measurement facets such as persons, items, and occasions. Unlike classical test theory, G-theory quantifies multiple simultaneous sources of measurement error, offering a richer reliability picture for adaptively administered assessments.	CAT reliability analysis quantifies measurement precision in computerized adaptive tests where each examinee receives a unique, individually tailored subset of items. Rather than a single classical coefficient, it uses item response theory to express precision as conditional standard error of measurement at each ability level, and marginal reliability as a global summary across the ability distribution.