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Replication success under questionable research practices – a simulation study

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  • Freuli, Francesca
  • Held, Leonhard
  • Heyard, Rachel

Abstract

Increasing evidence suggests that the reproducibility and replicability of scientific findings is threatened by researchers employing questionable research practices (QRP) in order to achieve publishable, positive and significant results. Numerous metrics have been developed to determine replication success but it has not yet been established how well those metrics perform in the presence of QRPs. This paper aims to compare the performance of different metrics quantifying replication success in the presence of four different types of QRPs: cherry picking, questionable interim analyses, questionable inclusion of covariates, and questionable subgroup analyses. Our results show that the metric based on the golden sceptical p -value does better in maintaining low values of overall type-I error rate, but often needs larger replication sample sizes, especially when severe QRPs are employed.

Suggested Citation

  • Freuli, Francesca & Held, Leonhard & Heyard, Rachel, 2022. "Replication success under questionable research practices – a simulation study," MetaArXiv s4b65, Center for Open Science.
    • Handle: RePEc:osf:metaar:s4b65
    DOI: 10.31219/osf.io/s4b65
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    References listed on IDEAS

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    1. Leonhard Held, 2020. "A new standard for the analysis and design of replication studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 431-448, February.
    2. Wicherts, Jelte M. & Veldkamp, Coosje Lisabet Sterre & Augusteijn, Hilde & Bakker, Marjan & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2016. "Degrees of freedom in planning, running, analyzing, and reporting psychological studies A checklist to avoid p-hacking," OSF Preprints umq8d, Center for Open Science.
    3. Megan L Head & Luke Holman & Rob Lanfear & Andrew T Kahn & Michael D Jennions, 2015. "The Extent and Consequences of P-Hacking in Science," PLOS Biology, Public Library of Science, vol. 13(3), pages 1-15, March.
    4. Erik W. van Zwet & Eric A. Cator, 2021. "The significance filter, the winner's curse and the need to shrink," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 75(4), pages 437-452, November.
    5. Dorothy Bishop, 2019. "Rein in the four horsemen of irreproducibility," Nature, Nature, vol. 568(7753), pages 435-435, April.
    6. Gowri Gopalakrishna & Gerben ter Riet & Gerko Vink & Ineke Stoop & Jelte M Wicherts & Lex M Bouter, 2022. "Prevalence of questionable research practices, research misconduct and their potential explanatory factors: A survey among academic researchers in The Netherlands," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-16, February.
    7. Anne-Laure Boulesteix & Sabine Lauer & Manuel J A Eugster, 2013. "A Plea for Neutral Comparison Studies in Computational Sciences," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-11, April.
    8. Wanja Wolff & Lorena Baumann & Chris Englert, 2018. "Self-reports from behind the scenes: Questionable research practices and rates of replication in ego depletion research," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-11, June.
    9. Larry V. Hedges & Jacob M. Schauer, 2019. "More Than One Replication Study Is Needed for Unambiguous Tests of Replication," Journal of Educational and Behavioral Statistics, , vol. 44(5), pages 543-570, October.
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