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Teste Adaptativo Computadorizado com o Modelo de Rasch (CAT-Rasch)×Análise Fatorial Exploratória (AFE)×
ÁreaPsicometriaEstatística
FamíliaLatent structureLatent structure
Ano de origem1960 (Rasch model); CAT integration from 1970s onward
Autor originalGeorg Rasch (measurement model); adaptive testing formalized by Wainer, van der Linden, and others
TipoAdaptive psychometric measurementLatent variable / dimension reduction
Fonte 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 ↗
Outros nomesCAT-Rasch, Rasch-based CAT, adaptive Rasch testing, computerized adaptive measurementcommon factor analysis, açımlayıcı faktör analizi, factor analysis
Relacionados54
ResumoComputerized 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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ScholarGateComparar métodos: Computerized adaptive test Rasch model · EFA. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare