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تحليل العوامل التوكيدي متعدد المجموعات (MG-CFA)×اختبار ثبات القياس×
المجالالقياس النفسيالقياس النفسي
العائلةLatent structureLatent structure
سنة النشأة19712000
صاحب الطريقةKarl JöreskogVandenberg & Lance
النوعMeasurement model / invariance testMulti-group confirmatory factor analysis procedure
المصدر التأسيسيVandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. 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 ↗
الأسماء البديلةMG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFAFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
ذات صلة63
الملخصMulti-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified.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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ScholarGateقارن الطرق: Multi-group confirmatory factor analysis · Measurement Invariance. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare