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Updated: Jul 4, 2025

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Interdisciplinary lessons and recommendations for the evaluation of replicability in behavioral sciences.

Mitch Brown1, Donald F Sacco2

  • 1Department of Psychological Science, University of Arkansas, Fayetteville, AR, USA.

Politics and the Life Sciences : the Journal of the Association for Politics and the Life Sciences
|February 8, 2024
PubMed
Summary

Scientific journals are adopting new rules to improve research replicability. Lessons from psychological science can help other behavioral sciences implement similar measures to enhance scientific rigor.

Keywords:
behavioral sciencespeer reviewreplicationresearch integritysubmission requirements

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Area of Science:

  • Behavioral Sciences
  • Psychological Science
  • Scientific Publishing

Background:

  • Growing awareness of low replicability rates in scientific literature.
  • Peer-reviewed journals are implementing initiatives to enhance research replicability.
  • Preliminary evidence suggests these initiatives are effective in psychological science.

Purpose of the Study:

  • To discuss lessons learned from psychological science regarding replicability initiatives.
  • To address challenges for other behavioral sciences in adopting similar measures.
  • To offer considerations for journals implementing replicability policies.

Main Methods:

  • Discussion of existing replicability initiatives in psychological science.
  • Analysis of challenges and adaptations for other behavioral science fields.
  • Considerations for policy implementation in scientific journals.

Main Results:

  • Psychological science initiatives show preliminary efficacy in improving replicability.
  • Other behavioral sciences face unique challenges in adopting similar measures.
  • Broad considerations for journal policies and funding are proposed.

Conclusions:

  • Adoption of replicability measures by other behavioral sciences is advantageous.
  • Journal policies should be tailored to specific scientific fields.
  • Governing bodies should prioritize funding for research on replicability measures.