Salīdzināt metodes

	Computerized adaptive test item response theory	Eksploratīvā faktoru analīze (EFA)
Nozare	Psihometrija	Statistika
Saime	Latent structure	Latent structure
Izcelsmes gads	1970s–1980s	—
Autors	Lord, F. M.; further developed by Wainer, van der Linden, and others	—
Tips	Adaptive measurement / sequential testing	Latent variable / dimension reduction
Pirmavots	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113	Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.
Citi nosaukumi	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing	common factor analysis, açımlayıcı faktör analizi, factor analysis
Saistītās	4	4
Kopsavilkums	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.	Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.