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Ordinal Confirmatory Factor Analysis×Eksplorerende faktoranalyse (EFA)×
FagfeltPsykometriStatistikk
FamilieLatent structureLatent structure
Opprinnelsesår1984
OpphavspersonBengt O. Muthén
TypeLatent variable / structuralLatent variable / dimension reduction
Opprinnelig kildeFlora, D. B. & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. DOI ↗Fabrigar, 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 ↗
AliasCFA for ordinal data, polychoric CFA, WLSMV CFA, categorical CFAcommon factor analysis, açımlayıcı faktör analizi, factor analysis
Relaterte54
SammendragOrdinal confirmatory factor analysis (Ordinal CFA) tests a pre-specified factor structure when the observed indicators are ordinal — typically Likert-type survey items. By using polychoric correlations and robust estimators such as WLSMV, it avoids the bias that arises from treating categorical responses as continuous.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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ScholarGateSammenlign metoder: Ordinal CFA · EFA. Hentet 2026-06-17 fra https://scholargate.app/no/compare