Edwards Jeffrey R, Lambert Lisa Schurer
Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Psychol Methods. 2007 Mar;12(1):1-22. doi: 10.1037/1082-989X.12.1.1.
Studies that combine moderation and mediation are prevalent in basic and applied psychology research. Typically, these studies are framed in terms of moderated mediation or mediated moderation, both of which involve similar analytical approaches. Unfortunately, these approaches have important shortcomings that conceal the nature of the moderated and the mediated effects under investigation. This article presents a general analytical framework for combining moderation and mediation that integrates moderated regression analysis and path analysis. This framework clarifies how moderator variables influence the paths that constitute the direct, indirect, and total effects of mediated models. The authors empirically illustrate this framework and give step-by-step instructions for estimation and interpretation. They summarize the advantages of their framework over current approaches, explain how it subsumes moderated mediation and mediated moderation, and describe how it can accommodate additional moderator and mediator variables, curvilinear relationships, and structural equation models with latent variables.
将调节作用和中介作用相结合的研究在基础心理学研究和应用心理学研究中很常见。通常，这些研究是按照调节中介或中介调节来构建的，两者都涉及相似的分析方法。不幸的是，这些方法存在重要缺陷，掩盖了所研究的调节效应和中介效应的本质。本文提出了一个将调节作用和中介作用相结合的通用分析框架，该框架整合了调节回归分析和路径分析。这个框架阐明了调节变量如何影响构成中介模型直接效应、间接效应和总效应的路径。作者通过实证说明了这个框架，并给出了估计和解释的逐步指导。他们总结了自己的框架相对于当前方法的优势，解释了它如何包含调节中介和中介调节，并描述了它如何能够容纳额外的调节变量和中介变量、曲线关系以及具有潜在变量的结构方程模型。
