Σύγκριση μεθόδων

	Επιθεώρηση της Μετρικής Αμεροληψίας σε Αυτοματοποιημένα Προσαρμοστικά Τεστ (CAT)	Σταθμητή Προσαρμοστική Δοκιμασία (CAT-IRT) βάσει Θεωρίας Απόκρισης Αντικειμένων
Πεδίο	Ψυχομετρία	Ψυχομετρία
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	1990s–2000s	1970s–1980s
Δημιουργός	Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing	Lord, F. M.; further developed by Wainer, van der Linden, and others
Τύπος	Measurement equivalence testing in adaptive testing contexts	Adaptive measurement / sequential testing
Θεμελιώδης πηγή	Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113
Εναλλακτικές ονομασίες	CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing
Συναφείς	6	4
Σύνοψη	Computerized adaptive test measurement invariance evaluates whether a CAT instrument measures the same latent construct with the same psychometric properties across different groups (e.g., gender, language, clinical vs. community) or time points. It combines IRT-based adaptive test frameworks with measurement equivalence testing to ensure fair and comparable score interpretation.	Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys.