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Polytomisk konfirmatorisk faktoranalyse×Test af målingsinvarians×
FagområdePsykometriPsykometri
FamilieLatent structureLatent structure
Oprindelsesår19842000
OphavspersonBengt MuthenVandenberg & Lance
TypeLatent variable / confirmatory measurement modelMulti-group confirmatory factor analysis procedure
Oprindelig 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 ↗Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗
AliasserCFA for ordered categories, ordinal CFA, categorical CFA, WLSMV-CFAFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
Relaterede53
ResuméPolytomous confirmatory factor analysis (CFA) tests a pre-specified factor structure when items have three or more ordered response categories (e.g., Likert scales). By working with polychoric correlations and robust estimators such as WLSMV, it avoids the distortions that arise when ordered categorical data are treated as continuous.Measurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means.
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ScholarGateSammenlign metoder: Polytomous Confirmatory Factor Analysis · Measurement Invariance. Hentet 2026-06-18 fra https://scholargate.app/da/compare