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| Bayesowska moderowana mediacja× | Analiza mediacji moderowanej× | |
|---|---|---|
| Dziedzina | Statystyka | Statystyka |
| Rodzina | Latent structure | Latent structure |
| Rok powstania≠ | 2009–2013 | 2007 |
| Twórca≠ | Yuan & MacKinnon (Bayesian mediation); Hayes (conditional process framework) | Preacher, Rucker & Hayes |
| Typ≠ | Conditional indirect effect model | Conditional process model |
| Źródło pierwotne≠ | Yuan, Y. & MacKinnon, D. P. (2009). Bayesian mediation analysis. Psychological Methods, 14(4), 301–322. DOI ↗ | Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654 |
| Inne nazwy | Bayesian conditional process analysis, Bayesian mediated moderation, Bayesian PROCESS model, Bayesian conditional indirect effect | conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation |
| Pokrewne | 4 | 4 |
| Podsumowanie≠ | Bayesian moderated mediation estimates how a mediator transmits the effect of a predictor onto an outcome, and whether that indirect effect varies in size depending on a moderator variable — all within a Bayesian framework that quantifies uncertainty via posterior distributions rather than p-values and confidence intervals. | Moderated mediation tests whether the indirect effect of an independent variable on an outcome — transmitted through a mediator — differs in strength depending on the level of a moderator variable. It answers the question: for whom, or under what conditions, does the mediated pathway operate most strongly? |
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