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Polytome Analyse van Confirmatieve Factorstructuur×Testen van Meetinvariantie×
VakgebiedPsychometriePsychometrie
FamilieLatent structureLatent structure
Jaar van ontstaan19842000
GrondleggerBengt MuthenVandenberg & Lance
TypeLatent variable / confirmatory measurement modelMulti-group confirmatory factor analysis procedure
Oorspronkelijke bronFlora, 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 ↗
AliassenCFA for ordered categories, ordinal CFA, categorical CFA, WLSMV-CFAFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
Verwant53
SamenvattingPolytomous 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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ScholarGateMethoden vergelijken: Polytomous Confirmatory Factor Analysis · Measurement Invariance. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare