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Polütoomne konfirmatoorne faktorianalüüs×Mõõtmise invariaansuse testimine×
ValdkondPsühhomeetriaPsühhomeetria
PerekondLatent structureLatent structure
Tekkeaasta19842000
LoojaBengt MuthenVandenberg & Lance
TüüpLatent variable / confirmatory measurement modelMulti-group confirmatory factor analysis procedure
AlgallikasFlora, 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 ↗
RööpnimetusedCFA for ordered categories, ordinal CFA, categorical CFA, WLSMV-CFAFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
Seotud53
KokkuvõtePolytomous 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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ScholarGateVõrdle meetodeid: Polytomous Confirmatory Factor Analysis · Measurement Invariance. Loetud 2026-06-19 aadressilt https://scholargate.app/et/compare