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Многостепенен потвърдителен факторен анализ (MCFA)×Тестване на инвариантност на измерването×
ОбластПсихометрияПсихометрия
СемействоLatent structureLatent structure
Година на възникване19942000
СъздателBengt O. MuthenVandenberg & Lance
ТипLatent variable model / measurement modelMulti-group confirmatory factor analysis procedure
Основополагащ източникMuthen, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398. 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 ↗
Други названияMCFA, multilevel measurement model, two-level CFA, hierarchical CFAFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
Свързани63
РезюмеMultilevel confirmatory factor analysis tests a pre-specified factor structure while simultaneously accounting for the non-independence of observations caused by clustered data. It decomposes item variance into within-group and between-group components, fitting a separate measurement model at each level, making it the standard tool for validating psychometric scales administered within natural groups such as classrooms, clinics, or organisations.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.
ScholarGateНабор от данни
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ScholarGateСравнение на методи: Multilevel CFA · Measurement Invariance. Извлечено на 2026-06-19 от https://scholargate.app/bg/compare