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      Ethical leadership for better sustainable performance: Role of employee values, behavior and ethical climate

      , , , ,
      Journal of Cleaner Production
      Elsevier BV

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

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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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              Sources of method bias in social science research and recommendations on how to control it.

              Despite the concern that has been expressed about potential method biases, and the pervasiveness of research settings with the potential to produce them, there is disagreement about whether they really are a problem for researchers in the behavioral sciences. Therefore, the purpose of this review is to explore the current state of knowledge about method biases. First, we explore the meaning of the terms "method" and "method bias" and then we examine whether method biases influence all measures equally. Next, we review the evidence of the effects that method biases have on individual measures and on the covariation between different constructs. Following this, we evaluate the procedural and statistical remedies that have been used to control method biases and provide recommendations for minimizing method bias.
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                Contributors
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                Journal
                Journal of Cleaner Production
                Journal of Cleaner Production
                Elsevier BV
                09596526
                February 2022
                February 2022
                : 337
                : 130527
                Article
                10.1016/j.jclepro.2022.130527
                8f786456-b5ef-4258-b059-301a2a6225bd
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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