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      How Does Environmental Corporate Social Responsibility Matter in a Dysfunctional Institutional Environment? Evidence from China

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.

            In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators.
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              Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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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
                January 2017
                May 29 2015
                January 2017
                : 140
                : 2
                : 209-223
                Article
                10.1007/s10551-015-2704-3
                d9e92b1c-3d7c-4059-8c55-4a45d0b696d4
                © 2017

                http://www.springer.com/tdm

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