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Peer review: Risk and risk tolerance

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  • Stephen A Gallo
  • Karen B Schmaling

Abstract

Peer review, commonly used in grant funding decisions, relies on scientists’ ability to evaluate research proposals’ quality. Such judgments are sometimes beyond reviewers’ discriminatory power and could lead to a reliance on subjective biases, including preferences for lower risk, incremental projects. However, peer reviewers’ risk tolerance has not been well studied. We conducted a cross-sectional experiment of peer reviewers’ evaluations of mock primary reviewers’ comments in which the level and sources of risks and weaknesses were manipulated. Here we show that proposal risks more strongly predicted reviewers’ scores than proposal strengths based on mock proposal evaluations. Risk tolerance was not predictive of scores but reviewer scoring leniency was predictive of overall and criteria scores. The evaluation of risks dominates reviewers’ evaluation of research proposals and is a source of inter-reviewer variability. These results suggest that reviewer scoring variability may be attributed to the interpretation of proposal risks, and could benefit from intervention to improve the reliability of reviews. Additionally, the valuation of risk drives proposal evaluations and may reduce the chances that risky, but highly impactful science, is supported.

Suggested Citation

  • Stephen A Gallo & Karen B Schmaling, 2022. "Peer review: Risk and risk tolerance," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-20, August.
  • Handle: RePEc:plo:pone00:0273813
    DOI: 10.1371/journal.pone.0273813
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    References listed on IDEAS

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    1. Upali W. Jayasinghe & Herbert W. Marsh & Nigel Bond, 2003. "A multilevel cross‐classified modelling approach to peer review of grant proposals: the effects of assessor and researcher attributes on assessor ratings," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 166(3), pages 279-300, October.
    2. Anke Becker & Thomas Deckers & Thomas Dohmen & Armin Falk & Fabian Kosse, 2012. "The Relationship Between Economic Preferences and Psychological Personality Measures," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 453-478, July.
    3. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    4. Teplitskiy, Misha & Acuna, Daniel & Elamrani-Raoult, Aïda & Körding, Konrad & Evans, James, 2018. "The sociology of scientific validity: How professional networks shape judgement in peer review," Research Policy, Elsevier, vol. 47(9), pages 1825-1841.
    5. Terttu Luukkonen, 2012. "Conservatism and risk-taking in peer review: Emerging ERC practices," Research Evaluation, Oxford University Press, vol. 21(1), pages 48-60, February.
    6. Anand, Paul, 1995. "Foundations of Rational Choice Under Risk," OUP Catalogue, Oxford University Press, number 9780198774426.
    7. Kevin J. Boudreau & Eva C. Guinan & Karim R. Lakhani & Christoph Riedl, 2016. "Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science," Management Science, INFORMS, vol. 62(10), pages 2765-2783, October.
    8. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    9. Stephen Gallo & Lisa Thompson & Karen Schmaling & Scott Glisson, 2018. "Risk evaluation in peer review of grant applications," Environment Systems and Decisions, Springer, vol. 38(2), pages 216-229, June.
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