Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Analyse factorielle exploratoire (AFE)× | Analyse de médiation× | |
|---|---|---|
| Domaine | Statistique | Statistique |
| Famille≠ | Latent structure | Hypothesis test |
| Année d'origine≠ | — | 1986 |
| Auteur d'origine≠ | — | Baron & Kenny |
| Type≠ | Latent variable / dimension reduction | Indirect effects / path test |
| Source fondatrice≠ | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ | Baron, R. M. & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research. Journal of Personality and Social Psychology, 51(6), 1173–1182. link ↗ |
| Alias≠ | common factor analysis, açımlayıcı faktör analizi, factor analysis | indirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS) |
| Apparentées≠ | 4 | 5 |
| Résumé≠ | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. | Mediation analysis is a statistical procedure that tests whether the effect of an independent variable X on an outcome Y operates wholly or partly through a third variable M, called the mediator. Formalised by Baron and Kenny in 1986, it decomposes the total effect of X on Y into a direct path (c′) and an indirect path (a × b), quantifying how much of the relationship is carried by the mediating mechanism. |
| ScholarGateJeu de données ↗ |
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