手法を比較

	縦断的探索的因子分析 (Longitudinal EFA)	縦断的確認的因子分析
分野	心理測定学	心理測定学
系統	Latent structure	Latent structure
提唱年	1970s–1983	1970s–1990s
提唱者	John R. Nesselroade and colleagues (lifespan developmental tradition)	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
種類	Latent variable / dimension reduction across time	Longitudinal latent variable / measurement model
原典	Nesselroade, 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.	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.
別名	LEFA, longitudinal factor analysis, repeated-measures EFA, panel EFA	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
関連	6	6
概要	Longitudinal 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.