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A Systems-Based Approach to Fostering Robust Science in Industrial-Organizational Psychology

Author

Listed:
  • Grand, James A.
  • Rogelberg, Steven G.
  • Allen, Tammy D.
  • Landis, Ronald S.
  • Reynolds, Douglas H.
  • Scott, John C.
  • Tonidandel, Scott
  • Truxillo, Donald M.

Abstract

Credibility and trustworthiness are the bedrock upon which any science is built. The strength of these foundations has been increasingly questioned across the sciences as instances of research misconduct and mounting concerns over the prevalence of detrimental research practices have been identified. Consequently, the purpose of this article is to encourage our scientific community to positively and proactively engage in efforts that foster a healthy and robust industrial and organizational (I-O) psychology. We begin by advancing six defining principles that we believe reflect the values of robust science and offer criteria for evaluating proposed efforts to change scientific practices. Recognizing that the contemporary scientific enterprise is a complex and diverse network of actors and institutions, we then conclude by identifying 12 stakeholders who play important roles in achieving a culture of robust science in I-O psychology and offer recommendations for actions we can take as members of these groups to strengthen our science.

Suggested Citation

  • Grand, James A. & Rogelberg, Steven G. & Allen, Tammy D. & Landis, Ronald S. & Reynolds, Douglas H. & Scott, John C. & Tonidandel, Scott & Truxillo, Donald M., 2018. "A Systems-Based Approach to Fostering Robust Science in Industrial-Organizational Psychology," Industrial and Organizational Psychology, Cambridge University Press, vol. 11(1), pages 4-42, March.
  • Handle: RePEc:cup:inorps:v:11:y:2018:i:01:p:4-42_00
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    Cited by:

    1. Denis G. Arnold, 2021. "Universal research ethics and international business studies," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(7), pages 1229-1237, September.
    2. Gordon W. Cheung & Helena D. Cooper-Thomas & Rebecca S. Lau & Linda C. Wang, 2024. "Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations," Asia Pacific Journal of Management, Springer, vol. 41(2), pages 745-783, June.

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