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Computerized adaptive test item response theory×Anàlisi Factorial Exploratòria (EFA)×
CampPsicometriaEstadística
FamíliaLatent structureLatent structure
Any d'origen1970s–1980s
Autor originalLord, F. M.; further developed by Wainer, van der Linden, and others
TipusAdaptive measurement / sequential testingLatent variable / dimension reduction
Font seminalWainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113Fabrigar, 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. DOI ↗
ÀliesCAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testingcommon factor analysis, açımlayıcı faktör analizi, factor analysis
Relacionats44
ResumComputerized 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.
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ScholarGateCompara mètodes: Computerized adaptive test item response theory · EFA. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare