Vertaile menetelmiä

	Bayesilainen moderaatioanalyysi	Moderoitu välitysanalyysi
Tieteenala	Tilastotiede	Tilastotiede
Menetelmäperhe	Latent structure	Latent structure
Syntyvuosi	2000s–2010s	2007
Kehittäjä	Bayesian framework applied to moderation by Kruschke, Gelman and colleagues	Preacher, Rucker & Hayes
Tyyppi	Interaction / moderator test	Conditional process model
Alkuperäislähde	Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654	Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654
Rinnakkaisnimet	Bayesian interaction analysis, Bayesian moderated regression, Bayesian moderator testing, BMA	conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation
Liittyvät	2	4
Tiivistelmä	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.	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?