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| 종단 탐색적 요인 분석 (종단 EFA)× | 측정 불변성 검증× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1970s–1983 | 2000 |
| 창시자≠ | John R. Nesselroade and colleagues (lifespan developmental tradition) | Vandenberg & Lance |
| 유형≠ | Latent variable / dimension reduction across time | Multi-group confirmatory factor analysis procedure |
| 원전≠ | 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 ↗ |
| 별칭 | LEFA, longitudinal factor analysis, repeated-measures EFA, panel EFA | Factorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği |
| 관련≠ | 6 | 3 |
| 요약≠ | 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. |
| ScholarGate데이터셋 ↗ |
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