পদ্ধতির তুলনা করুন

	বেয়েশীয় মডারেশন বিশ্লেষণ (Bayesian Moderation Analysis)	বেইসিয়ান মডারেটেড মেডিয়েশন	পরিমার্জিত মধ্যস্থতা বিশ্লেষণ (Moderated Mediation Analysis)
ক্ষেত্র	পরিসংখ্যান	পরিসংখ্যান	পরিসংখ্যান
পরিবার	Latent structure	Latent structure	Latent structure
উদ্ভবের বছর	2000s–2010s	2009–2013	2007
প্রবর্তক	Bayesian framework applied to moderation by Kruschke, Gelman and colleagues	Yuan & MacKinnon (Bayesian mediation); Hayes (conditional process framework)	Preacher, Rucker & Hayes
ধরন	Interaction / moderator test	Conditional indirect effect model	Conditional process model
মৌলিক উৎস	Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654	Yuan, Y. & MacKinnon, D. P. (2009). Bayesian mediation analysis. Psychological Methods, 14(4), 301–322.	Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654
অপর নাম	Bayesian interaction analysis, Bayesian moderated regression, Bayesian moderator testing, BMA	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
সম্পর্কিত	2	4	4
সারসংক্ষেপ	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.	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?