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Reproducibility of individual effect sizes in meta-analyses in psychology

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  • Esther Maassen
  • Marcel A L M van Assen
  • Michèle B Nuijten
  • Anton Olsson-Collentine
  • Jelte M Wicherts

Abstract

To determine the reproducibility of psychological meta-analyses, we investigated whether we could reproduce 500 primary study effect sizes drawn from 33 published meta-analyses based on the information given in the meta-analyses, and whether recomputations of primary study effect sizes altered the overall results of the meta-analysis. Results showed that almost half (k = 224) of all sampled primary effect sizes could not be reproduced based on the reported information in the meta-analysis, mostly because of incomplete or missing information on how effect sizes from primary studies were selected and computed. Overall, this led to small discrepancies in the computation of mean effect sizes, confidence intervals and heterogeneity estimates in 13 out of 33 meta-analyses. We provide recommendations to improve transparency in the reporting of the entire meta-analytic process, including the use of preregistration, data and workflow sharing, and explicit coding practices.

Suggested Citation

  • Esther Maassen & Marcel A L M van Assen & Michèle B Nuijten & Anton Olsson-Collentine & Jelte M Wicherts, 2020. "Reproducibility of individual effect sizes in meta-analyses in psychology," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-18, May.
    • Handle: RePEc:plo:pone00:0233107
    DOI: 10.1371/journal.pone.0233107
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    References listed on IDEAS

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    1. Jelte M Wicherts & Marjan Bakker & Dylan Molenaar, 2011. "Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-7, November.
    2. Lutz Bornmann & Rüdiger Mutz, 2015. "Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2215-2222, November.
    3. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    4. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    5. Matthew J Page & Larissa Shamseer & Douglas G Altman & Jennifer Tetzlaff & Margaret Sampson & Andrea C Tricco & Ferrán Catalá-López & Lun Li & Emma K Reid & Rafael Sarkis-Onofre & David Moher, 2016. "Epidemiology and Reporting Characteristics of Systematic Reviews of Biomedical Research: A Cross-Sectional Study," PLOS Medicine, Public Library of Science, vol. 13(5), pages 1-30, May.
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