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التحليل العاملي الاستكشافي الطولي (Longitudinal EFA)×تحليل العوامل التأكيدي الطولي×
المجالالقياس النفسيالقياس النفسي
العائلةLatent structureLatent structure
سنة النشأة1970s–19831970s–1990s
صاحب الطريقةJohn R. Nesselroade and colleagues (lifespan developmental tradition)Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
النوعLatent variable / dimension reduction across timeLongitudinal latent variable / measurement model
المصدر التأسيسيNesselroade, J. R. (1983). Temporal selection and factor invariance in the study of development and change. In P. B. Baltes & O. G. Brim (Eds.), Life-Span Development and Behavior (Vol. 5, pp. 59–87). Academic Press. link ↗Widaman, K. F. & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). American Psychological Association. link ↗
الأسماء البديلةLEFA, longitudinal factor analysis, repeated-measures EFA, panel EFAlongitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
ذات صلة66
الملخصLongitudinal EFA applies exploratory factor analysis separately at each measurement occasion — or jointly across occasions — to discover whether the same latent factor structure emerges over time and whether factor loadings remain stable across waves. It is the foundational data-driven approach for examining structural change and continuity in panel and developmental research.Longitudinal confirmatory factor analysis (longitudinal CFA) applies a theoretically specified measurement model to data collected at two or more time points. Its primary purpose is to verify that a scale measures the same latent construct in the same way over time — a prerequisite for drawing valid conclusions about change from repeated-measures data.
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ScholarGateقارن الطرق: Longitudinal EFA · Longitudinal CFA. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare