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Statistical control in correlational studies: 10 essential recommendations for organizational researchers

Becker, Thomas E. ; Atinc, Guclu ; Breaugh, James A. ; Carlson, Kevin D. ; Edwards, Jeffrey R. ; Spector, Paul E.

Journal of organizational behavior, 2016-02, Vol.37 (2), p.157-167 [Periódico revisado por pares]

Chichester: Blackwell Publishing Ltd

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  • Título:
    Statistical control in correlational studies: 10 essential recommendations for organizational researchers
  • Autor: Becker, Thomas E. ; Atinc, Guclu ; Breaugh, James A. ; Carlson, Kevin D. ; Edwards, Jeffrey R. ; Spector, Paul E.
  • Assuntos: correlational studies ; Organizational behavior ; Organizational control ; Prioritizing ; research methods ; Researcher's Notebook ; Statistical analysis ; statistical control
  • É parte de: Journal of organizational behavior, 2016-02, Vol.37 (2), p.157-167
  • Notas: ArticleID:JOB2053
    istex:196BFFBC47BBF685A0997E32C036A69FAFFFDE08
    ark:/67375/WNG-R4QG2KMZ-6
  • Descrição: Statistical control is widely used in correlational studies with the intent of providing more accurate estimates of relationships among variables, more conservative tests of hypotheses, or ruling out alternative explanations for empirical findings. However, the use of control variables can produce uninterpretable parameter estimates, erroneous inferences, irreplicable results, and other barriers to scientific progress. As a result, methodologists have provided a great deal of advice regarding the use of statistical control, to the point that researchers might have difficulties sifting through and prioritizing the available suggestions. We integrate and condense this literature into a set of 10 essential recommendations that are generally applicable and which, if followed, would substantially enhance the quality of published organizational research. We provide explanations, qualifications, and examples following each recommendation.
  • Editor: Chichester: Blackwell Publishing Ltd
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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