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      Instrumental variables estimation: Assumptions, pitfalls, and guidelines

      , , , , ,
      The Leadership Quarterly
      Elsevier BV

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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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            Sample Selection Bias as a Specification Error

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              Specification Tests in Econometrics

              J. Hausman (1978)
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                Author and article information

                Journal
                The Leadership Quarterly
                The Leadership Quarterly
                Elsevier BV
                10489843
                February 2023
                February 2023
                : 101673
                Article
                10.1016/j.leaqua.2022.101673
                e4262cc7-6e86-4550-80cc-7564cb764aad
                © 2023

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

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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