방법 비교

	베이즈 중재 분석	조절된 매개 분석
분야	통계학	통계학
계열	Latent structure	Latent structure
기원 연도	2000s–2010s	2007
창시자	Bayesian framework applied to moderation by Kruschke, Gelman and colleagues	Preacher, Rucker & Hayes
유형	Interaction / moderator test	Conditional process model
원전	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
별칭	Bayesian interaction analysis, Bayesian moderated regression, Bayesian moderator testing, BMA	conditional process analysis, moderated mediation model, first-stage moderated mediation, second-stage moderated mediation
관련	2	4
요약	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?