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| Analisi Fattoriale Esplorativa Longitudinale (EFA Longitudinale)× | Test di invarianza della misurazione longitudinale× | |
|---|---|---|
| Campo | Psicometria | Psicometria |
| Famiglia | Latent structure | Latent structure |
| Anno di origine≠ | 1970s–1983 | 1993 |
| Ideatore≠ | John R. Nesselroade and colleagues (lifespan developmental tradition) | William Meredith |
| Tipo≠ | Latent variable / dimension reduction across time | Measurement model testing |
| Fonte seminale≠ | 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 ↗ | Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. DOI ↗ |
| Alias | LEFA, longitudinal factor analysis, repeated-measures EFA, panel EFA | LMI, longitudinal invariance, measurement equivalence across time, temporal measurement invariance |
| Correlati≠ | 6 | 3 |
| Sintesi≠ | 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 measurement invariance testing determines whether a psychological scale measures the same construct in the same way across two or more time points. It is a prerequisite for interpreting mean-level change scores in panel and repeated-measures studies, ensuring that observed change reflects true change in the construct rather than drift in the measurement instrument. |
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