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Tests adaptatifs informatisés avec le modèle de Rasch (TAI-Rasch)×Analyse factorielle exploratoire (AFE)×
DomainePsychométrieStatistique
FamilleLatent structureLatent structure
Année d'origine1960 (Rasch model); CAT integration from 1970s onward
Auteur d'origineGeorg Rasch (measurement model); adaptive testing formalized by Wainer, van der Linden, and others
TypeAdaptive psychometric measurementLatent variable / dimension reduction
Source fondatriceWainer, 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 ↗
AliasCAT-Rasch, Rasch-based CAT, adaptive Rasch testing, computerized adaptive measurementcommon factor analysis, açımlayıcı faktör analizi, factor analysis
Apparentées54
RésuméComputerized adaptive testing with the Rasch model selects items in real time based on each examinee's evolving ability estimate, so that every person receives a test precisely calibrated to their proficiency level. The result is a shorter, more efficient measurement instrument that loses none of the precision of a full-length fixed-form test.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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ScholarGateComparer des méthodes: Computerized adaptive test Rasch model · EFA. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare