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A Reliability-Generalization Study of Journal Peer Reviews: A Multilevel Meta-Analysis of Inter-Rater Reliability and Its Determinants

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  • Lutz Bornmann
  • Rüdiger Mutz
  • Hans-Dieter Daniel

Abstract

Background: This paper presents the first meta-analysis for the inter-rater reliability (IRR) of journal peer reviews. IRR is defined as the extent to which two or more independent reviews of the same scientific document agree. Methodology/Principal Findings: Altogether, 70 reliability coefficients (Cohen's Kappa, intra-class correlation [ICC], and Pearson product-moment correlation [r]) from 48 studies were taken into account in the meta-analysis. The studies were based on a total of 19,443 manuscripts; on average, each study had a sample size of 311 manuscripts (minimum: 28, maximum: 1983). The results of the meta-analysis confirmed the findings of the narrative literature reviews published to date: The level of IRR (mean ICC/r2 = .34, mean Cohen's Kappa = .17) was low. To explain the study-to-study variation of the IRR coefficients, meta-regression analyses were calculated using seven covariates. Two covariates that emerged in the meta-regression analyses as statistically significant to gain an approximate homogeneity of the intra-class correlations indicated that, firstly, the more manuscripts that a study is based on, the smaller the reported IRR coefficients are. Secondly, if the information of the rating system for reviewers was reported in a study, then this was associated with a smaller IRR coefficient than if the information was not conveyed. Conclusions/Significance: Studies that report a high level of IRR are to be considered less credible than those with a low level of IRR. According to our meta-analysis the IRR of peer assessments is quite limited and needs improvement (e.g., reader system).

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  • Lutz Bornmann & Rüdiger Mutz & Hans-Dieter Daniel, 2010. "A Reliability-Generalization Study of Journal Peer Reviews: A Multilevel Meta-Analysis of Inter-Rater Reliability and Its Determinants," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-10, December.
    • Handle: RePEc:plo:pone00:0014331
    DOI: 10.1371/journal.pone.0014331
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    Cited by:

    1. Feliciani, Thomas & Morreau, Michael & Luo, Junwen & Lucas, Pablo & Shankar, Kalpana, 2022. "Designing grant-review panels for better funding decisions: Lessons from an empirically calibrated simulation model," Research Policy, Elsevier, vol. 51(4).
    2. Rüdiger Mutz & Tobias Wolbring & Hans-Dieter Daniel, 2017. "The effect of the “very important paper” (VIP) designation in Angewandte Chemie International Edition on citation impact: A propensity score matching analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2139-2153, September.
    3. Bradford Demarest & Guo Freeman & Cassidy R. Sugimoto, 2014. "The reviewer in the mirror: examining gendered and ethnicized notions of reciprocity in peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 717-735, October.
    4. Vieira, Elizabeth S. & Cabral, José A.S. & Gomes, José A.N.F., 2014. "How good is a model based on bibliometric indicators in predicting the final decisions made by peers?," Journal of Informetrics, Elsevier, vol. 8(2), pages 390-405.
    5. Augusteijn, Hilde Elisabeth Maria & Wicherts, Jelte M. & Sijtsma, Klaas & van Assen, Marcel A. L. M., 2023. "Quality assessment of scientific manuscripts in peer review and education," OSF Preprints 7dc6a, Center for Open Science.
    6. Steven Wooding & Thed N Van Leeuwen & Sarah Parks & Shitij Kapur & Jonathan Grant, 2015. "UK Doubles Its “World-Leading” Research in Life Sciences and Medicine in Six Years: Testing the Claim?," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-10, July.
    7. Lei Li & Yan Wang & Guanfeng Liu & Meng Wang & Xindong Wu, 2015. "Context-Aware Reviewer Assignment for Trust Enhanced Peer Review," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-28, June.
    8. 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.
    9. Jue Ni & Zhenyue Zhao & Yupo Shao & Shuo Liu & Wanlin Li & Yaoze Zhuang & Junmo Qu & Yu Cao & Nayuan Lian & Jiang Li, 2021. "The influence of opening up peer review on the citations of journal articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9393-9404, December.
    10. David A. M. Peterson, 2020. "Dear Reviewer 2: Go F’ Yourself," Social Science Quarterly, Southwestern Social Science Association, vol. 101(4), pages 1648-1652, July.
    11. Jens Jirschitzka & Aileen Oeberst & Richard Göllner & Ulrike Cress, 2017. "Inter-rater reliability and validity of peer reviews in an interdisciplinary field," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1059-1092, November.
    12. Peter Vaz da Fonseca & Andrea Decourt Savelli & Michele Nascimento Juca, 2020. "A Systematic Review of the Influence of Taxation on Corporate Capital Structure," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 155-178.
    13. Pengfei Jia & Weixi Xie & Guangyao Zhang & Xianwen Wang, 2023. "Do reviewers get their deserved acknowledgments from the authors of manuscripts?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5687-5703, October.
    14. Rüdiger Mutz & Lutz Bornmann & Hans-Dieter Daniel, 2012. "Heterogeneity of Inter-Rater Reliabilities of Grant Peer Reviews and Its Determinants: A General Estimating Equations Approach," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-10, October.
    15. Vincent Chandler, 2019. "Identifying emerging scholars: seeing through the crystal ball of scholarship selection committees," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 39-56, July.
    16. Hans van Dijk & Marino van Zelst, 2020. "Comfortably Numb? Researchers’ Satisfaction with the Publication System and a Proposal for Radical Change," Publications, MDPI, vol. 8(1), pages 1-20, March.
    17. Laura Muñoz-Bermejo & Jorge Pérez-Gómez & Fernando Manzano & Daniel Collado-Mateo & Santos Villafaina & José C Adsuar, 2019. "Reliability of isokinetic knee strength measurements in children: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-15, December.
    18. 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.
    19. John Jerrim, 2019. "Peer-review of grant proposals. An analysis of Economic and Social Research Council grant applications," DoQSS Working Papers 19-05, Quantitative Social Science - UCL Social Research Institute, University College London.
    20. Grażyna Wieczorkowska & Katarzyna Kowalczyk, 2021. "Ensuring Sustainable Evaluation: How to Improve Quality of Evaluating Grant Proposals?," Sustainability, MDPI, vol. 13(5), pages 1-11, March.

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