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| Bayes-féle moderált mediáció× | Bayes-féle moderációs analízis× | |
|---|---|---|
| Tudományterület | Statisztika | Statisztika |
| Módszercsalád | Latent structure | Latent structure |
| Keletkezés éve≠ | 2009–2013 | 2000s–2010s |
| Megalkotó≠ | Yuan & MacKinnon (Bayesian mediation); Hayes (conditional process framework) | Bayesian framework applied to moderation by Kruschke, Gelman and colleagues |
| Típus≠ | Conditional indirect effect model | Interaction / moderator test |
| Alapmű≠ | 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 |
| Alternatív nevek | Bayesian conditional process analysis, Bayesian mediated moderation, Bayesian PROCESS model, Bayesian conditional indirect effect | Bayesian interaction analysis, Bayesian moderated regression, Bayesian moderator testing, BMA |
| Kapcsolódó≠ | 4 | 2 |
| Összefoglaló≠ | 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. | Bayesian moderation analysis tests whether the relationship between a predictor and an outcome changes depending on the value of a third variable (the moderator). By placing prior distributions on all model parameters and updating them with observed data, it yields full posterior distributions for the interaction effect — enabling direct probability statements about the moderation rather than binary significance decisions. |
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