IDEAS home Printed from https://ideas.repec.org/p/zbw/i4rdps/2.html
   My bibliography  Save this paper

Replication Success under Questionable Research Practices - A Simulation Study

Author

Listed:
  • 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," I4R Discussion Paper Series 2, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:2
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/265252/1/I4R-DP002.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Dorothy Bishop, 2019. "Rein in the four horsemen of irreproducibility," Nature, Nature, vol. 568(7753), pages 435-435, April.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Freuli, Francesca & Held, Leonhard & Heyard, Rachel, 2022. "Replication success under questionable research practices – a simulation study," MetaArXiv s4b65_v1, Center for Open Science.
    2. Freuli, Francesca & Held, Leonhard & Heyard, Rachel, 2022. "Replication success under questionable research practices – a simulation study," MetaArXiv s4b65, Center for Open Science.
    3. Jasper Brinkerink, 2023. "When Shooting for the Stars Becomes Aiming for Asterisks: P-Hacking in Family Business Research," Entrepreneurship Theory and Practice, , vol. 47(2), pages 304-343, March.
    4. Konstantinos Bourazas & Guido Consonni & Laura Deldossi, 2024. "Bayesian sample size determination for detecting heterogeneity in multi-site replication studies," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(3), pages 697-716, September.
    5. Craig, Russell & Cox, Adam & Tourish, Dennis & Thorpe, Alistair, 2020. "Using retracted journal articles in psychology to understand research misconduct in the social sciences: What is to be done?," Research Policy, Elsevier, vol. 49(4).
    6. Felix Holzmeister & Magnus Johannesson & Robert Böhm & Anna Dreber & Jürgen Huber & Michael Kirchler, 2023. "Heterogeneity in effect size estimates: Empirical evidence and practical implications," Working Papers 2023-17, Faculty of Economics and Statistics, Universität Innsbruck.
    7. Samuel Pawel & Leonhard Held, 2022. "The sceptical Bayes factor for the assessment of replication success," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 879-911, July.
    8. Abel Brodeur, Nikolai M. Cook, Anthony Heyes, 2022. "We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell Us about Publication Bias and p-Hacking in Online Experiments," LCERPA Working Papers am0133, Laurier Centre for Economic Research and Policy Analysis.
    9. Arnaud Vaganay, 2016. "Cluster Sampling Bias in Government-Sponsored Evaluations: A Correlational Study of Employment and Welfare Pilots in England," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-21, August.
    10. Kathryn Oliver & Annette Boaz, 2019. "Transforming evidence for policy and practice: creating space for new conversations," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-10, December.
    11. Rosa Lavelle-Hill & Gavin Smith & Anjali Mazumder & Todd Landman & James Goulding, 2021. "Machine learning methods for “wicked” problems: exploring the complex drivers of modern slavery," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    12. David Winkelmann & Marius Ötting & Christian Deutscher & Tomasz Makarewicz, 2024. "Are Betting Markets Inefficient? Evidence From Simulations and Real Data," Journal of Sports Economics, , vol. 25(1), pages 54-97, January.
    13. Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2017. "The Effect of Publication Bias on the Assessment of Heterogeneity," OSF Preprints gv25c_v1, Center for Open Science.
    14. Rinne, Sonja, 2024. "Estimating the merit-order effect using coarsened exact matching: Reconciling theory with the empirical results to improve policy implications," Energy Policy, Elsevier, vol. 185(C).
    15. Theresa Ullmann & Anna Beer & Maximilian Hünemörder & Thomas Seidl & Anne-Laure Boulesteix, 2023. "Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(1), pages 211-238, March.
    16. Graham Elliott & Nikolay Kudrin & Kaspar Wüthrich, 2022. "Detecting p‐Hacking," Econometrica, Econometric Society, vol. 90(2), pages 887-906, March.
    17. Fabian Scheidegger & Andre Briviba & Bruno S. Frey, 2023. "Behind the curtains of academic publishing: strategic responses of economists and business scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4765-4790, August.
    18. Konrad Neumann & Ulrike Grittner & Sophie K Piper & Andre Rex & Oscar Florez-Vargas & George Karystianis & Alice Schneider & Ian Wellwood & Bob Siegerink & John P A Ioannidis & Jonathan Kimmelman & Ul, 2017. "Increasing efficiency of preclinical research by group sequential designs," PLOS Biology, Public Library of Science, vol. 15(3), pages 1-9, March.
    19. Stephan B Bruns & John P A Ioannidis, 2016. "p-Curve and p-Hacking in Observational Research," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-13, February.
    20. Miguel Baiao & Ilze Buligina, 2021. "Work Experience Led Programs and Employment Attainment," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 180-198.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:i4rdps:2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.i4replication.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.