Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Analyse causale de médiation (effets directs et indirects naturels)× | Analyse de médiation× | |
|---|---|---|
| Domaine≠ | Inférence causale | Statistique |
| Famille≠ | Regression model | Hypothesis test |
| Année d'origine≠ | 2010 | 1986 |
| Auteur d'origine≠ | Pearl (2001); general framework by Imai, Keele & Tingley (2010) | Baron & Kenny |
| Type≠ | Counterfactual causal decomposition | Indirect effects / path test |
| Source fondatrice≠ | Pearl, J. (2001). Direct and Indirect Effects. In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI), 411-420. link ↗ | 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≠ | natural direct effect, natural indirect effect, NDE / NIE decomposition, counterfactual mediation | indirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS) |
| Apparentées | 5 | 5 |
| Résumé≠ | Causal mediation analysis is a counterfactual framework that splits a treatment's total effect into a Natural Direct Effect (NDE) and a Natural Indirect Effect (NIE) that runs through a mediator. The modern general approach was formalised by Pearl (2001) and Imai, Keele and Tingley (2010), giving the decomposition a precise causal interpretation. | 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 ↗ |
|
|