Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Causal Mediation Analysis in Politics× | Mediatsioonianalüüs× | |
|---|---|---|
| Valdkond≠ | Political Science | Statistika |
| Perekond≠ | Regression model | Hypothesis test |
| Tekkeaasta≠ | 2010 | 1986 |
| Looja≠ | Imai, Keele, Tingley & Yamamoto (potential-outcomes causal mediation) | Baron & Kenny |
| Tüüp≠ | Causal-inference decomposition of a treatment effect into direct and indirect (mediated) components | Indirect effects / path test |
| Algallikas≠ | Imai, K., Keele, L., & Tingley, D. (2010). A General Approach to Causal Mediation Analysis. Psychological Methods, 15(4), 309–334. 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 ↗ |
| Rööpnimetused | Causal mediation, Mechanism analysis, Direct and indirect effects, Potential-outcomes mediation | indirect effects analysis, path-based mediation, PROCESS macro mediation, Aracılık Analizi (Mediation / PROCESS) |
| Seotud | 5 | 5 |
| Kokkuvõte≠ | Causal mediation analysis decomposes the effect of a treatment — often a randomized experimental manipulation, such as a campaign message or an information treatment — into the part transmitted through a specified intermediate variable, the mediator, and the part operating through all other pathways. Formalized in the potential-outcomes framework by Imai, Keele, Tingley, and Yamamoto, it defines the average causal mediation effect (ACME) and the average direct effect, makes explicit the sequential-ignorability assumption required to identify them, and supplies a sensitivity analysis for when that assumption fails. It lets political scientists move beyond 'does the treatment work?' to 'why does it work?' | 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. |
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