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क्षेत्रमनोमितिमनोमिति
परिवारLatent structureLatent structure
उद्भव वर्ष19842000
प्रवर्तकBengt MuthenVandenberg & Lance
प्रकारLatent variable / confirmatory measurement modelMulti-group confirmatory factor analysis procedure
मौलिक स्रोतFlora, 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 ↗
उपनामCFA for ordered categories, ordinal CFA, categorical CFA, WLSMV-CFAFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
संबंधित53
सारांशPolytomous 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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ScholarGateविधियों की तुलना करें: Polytomous Confirmatory Factor Analysis · Measurement Invariance. 2026-06-19 को यहाँ से प्राप्त https://scholargate.app/hi/compare