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Questionable research practices in ecology and evolution

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  • Hannah Fraser
  • Tim Parker
  • Shinichi Nakagawa
  • Ashley Barnett
  • Fiona Fidler

Abstract

We surveyed 807 researchers (494 ecologists and 313 evolutionary biologists) about their use of Questionable Research Practices (QRPs), including cherry picking statistically significant results, p hacking, and hypothesising after the results are known (HARKing). We also asked them to estimate the proportion of their colleagues that use each of these QRPs. Several of the QRPs were prevalent within the ecology and evolution research community. Across the two groups, we found 64% of surveyed researchers reported they had at least once failed to report results because they were not statistically significant (cherry picking); 42% had collected more data after inspecting whether results were statistically significant (a form of p hacking) and 51% had reported an unexpected finding as though it had been hypothesised from the start (HARKing). Such practices have been directly implicated in the low rates of reproducible results uncovered by recent large scale replication studies in psychology and other disciplines. The rates of QRPs found in this study are comparable with the rates seen in psychology, indicating that the reproducibility problems discovered in psychology are also likely to be present in ecology and evolution.

Suggested Citation

  • Hannah Fraser & Tim Parker & Shinichi Nakagawa & Ashley Barnett & Fiona Fidler, 2018. "Questionable research practices in ecology and evolution," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-16, July.
  • Handle: RePEc:plo:pone00:0200303
    DOI: 10.1371/journal.pone.0200303
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    References listed on IDEAS

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    1. John P A Ioannidis, 2005. "Why Most Published Research Findings Are False," PLOS Medicine, Public Library of Science, vol. 2(8), pages 1-1, August.
    2. Dominique G Roche & Loeske E. B Kruuk, 2015. "Public Data Archiving in Ecology and Evolution: How Well are We Doing?," Working Papers id:7811, eSocialSciences.
    3. Mellor, David Thomas, 2017. "Preregistration and increased transparency will benefit science," OSF Preprints xsfam, Center for Open Science.
    4. Dominique G Roche & Loeske E B Kruuk & Robert Lanfear & Sandra A Binning, 2015. "Public Data Archiving in Ecology and Evolution: How Well Are We Doing?," PLOS Biology, Public Library of Science, vol. 13(11), pages 1-12, November.
    5. Malika Ihle & Isabel S. Winney & Anna Krystalli & Michael Croucher, 2017. "Striving for transparent and credible research: practical guidelines for behavioral ecologists," Behavioral Ecology, International Society for Behavioral Ecology, vol. 28(2), pages 348-354.
    6. Shinichi Nakagawa, 2004. "A farewell to Bonferroni: the problems of low statistical power and publication bias," Behavioral Ecology, International Society for Behavioral Ecology, vol. 15(6), pages 1044-1045, November.
    7. Andreas Schwab & Eric Abrahamson & William H. Starbuck & Fiona Fidler, 2011. "PERSPECTIVE---Researchers Should Make Thoughtful Assessments Instead of Null-Hypothesis Significance Tests," Organization Science, INFORMS, vol. 22(4), pages 1105-1120, August.
    8. Leonard P Freedman & Iain M Cockburn & Timothy S Simcoe, 2015. "The Economics of Reproducibility in Preclinical Research," PLOS Biology, Public Library of Science, vol. 13(6), pages 1-9, June.
    9. Daniele Fanelli, 2012. "Negative results are disappearing from most disciplines and countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 891-904, March.
    10. Nosek, Brian A. & Ebersole, Charles R. & DeHaven, Alexander Carl & Mellor, David Thomas, 2018. "The Preregistration Revolution," OSF Preprints 2dxu5, Center for Open Science.
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    Cited by:

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    2. Nathalie Percie du Sert & Viki Hurst & Amrita Ahluwalia & Sabina Alam & Marc T Avey & Monya Baker & William J Browne & Alejandra Clark & Innes C Cuthill & Ulrich Dirnagl & Michael Emerson & Paul Garne, 2020. "The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research," PLOS Biology, Public Library of Science, vol. 18(7), pages 1-12, July.
    3. Tierney, Warren & Hardy, Jay H. & Ebersole, Charles R. & Leavitt, Keith & Viganola, Domenico & Clemente, Elena Giulia & Gordon, Michael & Dreber, Anna & Johannesson, Magnus & Pfeiffer, Thomas & Uhlman, 2020. "Creative destruction in science," Organizational Behavior and Human Decision Processes, Elsevier, vol. 161(C), pages 291-309.
    4. Tian, Dan & Hu, Xiao & Qian, Yuchen & Li, Jiang, 2024. "Exploring the scientific impact of negative results," Journal of Informetrics, Elsevier, vol. 18(1).

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