方法证据记录
Bayesian Moderation Analysis
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian Moderation Analysis
分类方法记录 · latent-structure / statistics
- Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. · ISBN 978-1462534654
- Kruschke, J. K. (2015). Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan (2nd ed.). Academic Press. · ISBN 978-0124058880
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