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      Does Self-Serving Leadership Hinder Team Creativity? A Moderated Dual-Path Model

      , ,
      Journal of Business Ethics
      Springer Science and Business Media LLC

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            Psychological Safety and Learning Behavior in Work Teams

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              Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis.

              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. (c) 2007 APA, all rights reserved.
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                Author and article information

                Journal
                Journal of Business Ethics
                J Bus Ethics
                Springer Science and Business Media LLC
                0167-4544
                1573-0697
                October 2019
                February 1 2018
                October 2019
                : 159
                : 2
                : 419-433
                Article
                10.1007/s10551-018-3799-0
                6ad41aa3-9ee3-44fb-90eb-7f7123a314cc
                © 2019

                http://www.springer.com/tdm

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