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| Développement longitudinal d'échelles× | Analyse Factorielle Confirmatoire (AFC)× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1990s–2000s | 1969 |
| Auteur d'origine≠ | Meredith, Millsap, and colleagues | Karl Gustav Jöreskog |
| Type≠ | Scale construction framework | Hypothesis-testing latent variable model |
| Source fondatrice≠ | Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864311 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Alias | LSD, longitudinal measurement development, repeated-measures scale construction, scale development with panel data | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Apparentées≠ | 6 | 4 |
| Résumé≠ | Longitudinal scale development is the systematic process of constructing and validating a measurement instrument using data collected at multiple time points. It extends classical scale development by additionally testing whether the scale measures the same construct in the same metric across occasions, enabling valid tracking of change over time. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
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