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*名称：Methods for Integrating Moderation and Mediation
*大小：22页(上传文件958KB)。
*格式： PDF等格式。
*文件年度：2007
*目录（或簡介）：
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.
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