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Teste Adaptativo Computadorizado com o Modelo de Rasch (CAT-Rasch)×Análise Fatorial Confirmatória (AFC)×
ÁreaPsicometriaPsicometria
FamíliaLatent structureLatent structure
Ano de origem1960 (Rasch model); CAT integration from 1970s onward1969
Autor originalGeorg Rasch (measurement model); adaptive testing formalized by Wainer, van der Linden, and othersKarl Gustav Jöreskog
TipoAdaptive psychometric measurementHypothesis-testing latent variable model
Fonte seminalWainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Outros nomesCAT-Rasch, Rasch-based CAT, adaptive Rasch testing, computerized adaptive measurementCFA, confirmatory FA, measurement model, restricted 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.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.
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ScholarGateComparar métodos: Computerized adaptive test Rasch model · Confirmatory factor analysis. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare