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縦断的探索的因子分析 (Longitudinal EFA)×測定不変性テスト×
分野心理測定学心理測定学
系統Latent structureLatent structure
提唱年1970s–19832000
提唱者John R. Nesselroade and colleagues (lifespan developmental tradition)Vandenberg & Lance
種類Latent variable / dimension reduction across timeMulti-group confirmatory factor analysis procedure
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. link ↗Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗
別名LEFA, longitudinal factor analysis, repeated-measures EFA, panel EFAFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
関連63
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.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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ScholarGate手法を比較: Longitudinal EFA · Measurement Invariance. 2026-06-18に以下より取得 https://scholargate.app/ja/compare