Confronta i metodi
Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Analisi Longitudinale degli Item× | Analisi Fattoriale Confermativa Longitudinale× | |
|---|---|---|
| Campo | Psicometria | Psicometria |
| Famiglia | Latent structure | Latent structure |
| Anno di origine≠ | 1990s–2000s | 1970s–1990s |
| Ideatore≠ | Vandenberg, Lance, Meade and colleagues in organizational/educational measurement | Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s |
| Tipo≠ | Item-level longitudinal diagnostic | Longitudinal latent variable / measurement model |
| Fonte seminale≠ | Meade, A. W., Johnson, E. C. & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592. DOI ↗ | 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 ↗ |
| Alias | LIA, repeated-measures item analysis, longitudinal item calibration, item parameter stability analysis | longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA |
| Correlati | 6 | 6 |
| Sintesi≠ | Longitudinal item analysis examines how the statistical properties of individual scale items — difficulty, discrimination, factor loadings, and fit — remain stable or change systematically across repeated measurement occasions. It is the item-level foundation of longitudinal measurement validity. | 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. |
| ScholarGateInsieme di dati ↗ |
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