Σύγκριση μεθόδων

	Σταθμητή Προσαρμοστική Δοκιμασία (CAT-IRT) βάσει Θεωρίας Απόκρισης Αντικειμένων	Επαληθευτική Παραγοντική Ανάλυση (Confirmatory Factor Analysis - CFA)
Πεδίο	Ψυχομετρία	Ψυχομετρία
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	1970s–1980s	1969
Δημιουργός	Lord, F. M.; further developed by Wainer, van der Linden, and others	Karl Gustav Jöreskog
Τύπος	Adaptive measurement / sequential testing	Hypothesis-testing latent variable model
Θεμελιώδης πηγή	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Εναλλακτικές ονομασίες	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing	CFA, confirmatory FA, measurement model, restricted factor analysis
Συναφείς	4	4
Σύνοψη	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.	Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.