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贝叶斯调节分析

贝叶斯调节分析检验一个预测变量与结果之间的关系是否会因第三个变量(调节变量)的值而改变。通过为所有模型参数设置先验分布并用观测数据更新它们,可以获得交互效应的完整后验分布——从而能够直接对调节效应做出概率陈述,而不是进行二元的显著性判断。

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来源

  1. Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). Guilford Press. ISBN: 978-1462534654
  2. Kruschke, J. K. (2015). Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan (2nd ed.). Academic Press. ISBN: 978-0124058880

如何引用本页

ScholarGate. (2026, June 3). Bayesian Moderation Analysis. ScholarGate. https://scholargate.app/zh/statistics/bayesian-moderation-analysis

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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被引用于

ScholarGateBayesian Moderation Analysis (Bayesian Moderation Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/bayesian-moderation-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026