Bayesian analysis for mediation and moderation using g−priors.

IF 2 Q2 ECONOMICS Econometrics and Statistics Pub Date : 2023-07-01 DOI:10.1016/j.ecosta.2021.12.009
Jean-Michel Galharret, Anne Philippe
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引用次数: 1

Abstract

A Bayesian analysis is proposed using an extension of g-priors for moderated mediation models. For this choice of priors, an explicit form of the marginal distribution is obtained. Testing procedure on the existence of direct, indirect and moderated effects are constructed using Bayes factor approach. This methodology is applied to analyze the association between empowering leadership and organisational commitment in two companies.

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使用g−先验进行中介和调节的贝叶斯分析。
针对调节中介模型,提出了一种使用g-先验扩展的贝叶斯分析。对于这种先验的选择,得到了边际分布的显式形式。使用贝叶斯因子方法构建了直接、间接和调节效应存在性的测试程序。该方法被应用于分析两家公司的授权领导与组织承诺之间的关系。
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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
84
期刊介绍: Econometrics and Statistics is the official journal of the networks Computational and Financial Econometrics and Computational and Methodological Statistics. It publishes research papers in all aspects of econometrics and statistics and comprises of the two sections Part A: Econometrics and Part B: Statistics.
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