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| Analyse Factorielle Confirmatoire (AFC)× | Fiabilité test-retest× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 1969 | 1904 |
| Auteur d'origine≠ | Karl Gustav Jöreskog | Karl Pearson |
| Type≠ | Hypothesis-testing latent variable model | Reliability estimate |
| Source fondatrice≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497 |
| Alias | CFA, confirmatory FA, measurement model, restricted factor analysis | stability reliability, temporal stability, repeatability coefficient, TRT reliability |
| Apparentées | 4 | 4 |
| Résumé≠ | 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. | Test-retest reliability quantifies the temporal consistency of a measure by correlating scores obtained from the same participants on two separate occasions. It is a cornerstone of psychometric validation, directly indicating whether a scale or instrument yields stable scores when the underlying construct has not changed. |
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