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Evaluación Adaptativa Computarizada con el Modelo de Rasch (CAT-Rasch)×Análisis Factorial Exploratorio (AFE)×
CampoPsicometríaEstadística
FamiliaLatent structureLatent structure
Año de origen1960 (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
Fuente 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 ↗
AliasCAT-Rasch, Rasch-based CAT, adaptive Rasch testing, computerized adaptive measurementcommon factor analysis, açımlayıcı faktör analizi, factor analysis
Relacionados54
ResumenComputerized 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 el 2026-06-15 de https://scholargate.app/es/compare