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The Extent and Consequences of P-Hacking in Science

Citations

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Cited by:

  1. Pierre J C Chuard & Milan Vrtílek & Megan L Head & Michael D Jennions, 2019. "Evidence that nonsignificant results are sometimes preferred: Reverse P-hacking or selective reporting?," PLOS Biology, Public Library of Science, vol. 17(1), pages 1-7, January.
  2. Boxebeld, Sander, 2024. "Ordering effects in discrete choice experiments: A systematic literature review across domains," Journal of choice modelling, Elsevier, vol. 51(C).
  3. Danielle V. Handel & Eric A. Hanushek, 2024. "Contexts of Convenience: Generalizing from Published Evaluations of School Finance Policies," Evaluation Review, , vol. 48(3), pages 461-494, June.
  4. Lars Ole Schwen & Sabrina Rueschenbaum, 2018. "Ten quick tips for getting the most scientific value out of numerical data," PLOS Computational Biology, Public Library of Science, vol. 14(10), pages 1-21, October.
  5. Klaus E Meyer & Arjen Witteloostuijn & Sjoerd Beugelsdijk, 2017. "What’s in a p? Reassessing best practices for conducting and reporting hypothesis-testing research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 48(5), pages 535-551, July.
  6. Cantone, Giulio Giacomo, 2023. "The multiversal methodology as a remedy of the replication crisis," MetaArXiv kuhmz_v1, Center for Open Science.
  7. 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.
  8. Oleg Rytchkov & Xun Zhong, 2020. "Information Aggregation and P-Hacking," Management Science, INFORMS, vol. 66(4), pages 1605-1626, April.
  9. Tian, Dan & Hu, Xiao & Qian, Yuchen & Li, Jiang, 2024. "Exploring the scientific impact of negative results," Journal of Informetrics, Elsevier, vol. 18(1).
  10. Eleni Verykouki & Christos T. Nakas, 2023. "Adaptations on the Use of p -Values for Statistical Inference: An Interpretation of Messages from Recent Public Discussions," Stats, MDPI, vol. 6(2), pages 1-13, April.
  11. Brodeur, Abel & Cook, Nikolai & Heyes, Anthony, 2022. "We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell us about p-Hacking and Publication Bias in Online Experiments," GLO Discussion Paper Series 1157, Global Labor Organization (GLO).
  12. Feuz, Ryan, 2023. "Hedonic Price Analysis of Used Tractors," Applied Economics Teaching Resources (AETR), Agricultural and Applied Economics Association, vol. 5(01), January.
  13. 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.
  14. 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.
  15. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
  16. van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2018. "P-uniform," MetaArXiv zqjr9, Center for Open Science.
  17. Giulio Giacomo Cantone & Venera Tomaselli, 2024. "A Multiversal Model of Vibration of Effects of the Equitable and Sustainable Well-Being (BES) on Fertility," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(3), pages 941-964, December.
  18. Mattia Prosperi & Jiang Bian & Iain E. Buchan & James S. Koopman & Matthew Sperrin & Mo Wang, 2019. "Raiders of the lost HARK: a reproducible inference framework for big data science," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-12, December.
  19. Ante, Lennart, 2024. "The scope of green finance research: Research streams, influential works and future research paths," Ecological Economics, Elsevier, vol. 224(C).
  20. Graham Elliott & Nikolay Kudrin & Kaspar Wüthrich, 2022. "Detecting p‐Hacking," Econometrica, Econometric Society, vol. 90(2), pages 887-906, March.
  21. Bilgin, Rumeysa, 2023. "The Selection Of Control Variables In Capital Structure Research With Machine Learning," SocArXiv e26qf, Center for Open Science.
  22. Blumenthal, Anne & Martin, Karin A., 2023. "Boys at Risk Beyond Male Fragility: The Gender Gap in Child Injury Deaths in the United States, 2000-2020," OSF Preprints pgehb, Center for Open Science.
  23. Bialek, Michal & Misiak, Michał & Dziekan, Martyna, 2021. "Why is the statistical revolution not progressing? Vicious cycle of the scientific reform," OSF Preprints gmfs9, Center for Open Science.
  24. Beau Coker & Cynthia Rudin & Gary King, 2021. "A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results," Management Science, INFORMS, vol. 67(10), pages 6174-6197, October.
  25. Justin Sybrandt & Ilya Safro, 2021. "CBAG: Conditional biomedical abstract generation," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-18, July.
  26. Julia Roloff & Michael J. Zyphur, 2019. "Null Findings, Replications and Preregistered Studies in Business Ethics Research," Journal of Business Ethics, Springer, vol. 160(3), pages 609-619, December.
  27. Blumenthal, Anne & Martin, Karin A., 2023. "Boys at Risk Beyond Male Fragility: The Gender Gap in Child Injury Deaths in the United States, 2000-2020," OSF Preprints pgehb_v1, Center for Open Science.
  28. Tracey L Weissgerber, 2021. "Learning from the past to develop data analysis curricula for the future," PLOS Biology, Public Library of Science, vol. 19(7), pages 1-3, July.
  29. 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).
  30. Cantone, Giulio Giacomo, 2023. "The multiversal methodology as a remedy of the replication crisis," MetaArXiv kuhmz, Center for Open Science.
  31. Wimmer, Thomas & Geyer-Klingeberg, Jerome & Hütter, Marie & Schmid, Florian & Rathgeber, Andreas, 2021. "The impact of speculation on commodity prices: A Meta-Granger analysis," Journal of Commodity Markets, Elsevier, vol. 22(C).
  32. Jeremy Arkes, 2020. "Teaching Graduate (and Undergraduate) Econometrics: Some Sensible Shifts to Improve Efficiency, Effectiveness, and Usefulness," Econometrics, MDPI, vol. 8(3), pages 1-23, September.
  33. 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.
  34. Horton, Joanne & Krishna Kumar, Dhanya & Wood, Anthony, 2020. "Detecting academic fraud using Benford law: The case of Professor James Hunton," Research Policy, Elsevier, vol. 49(8).
  35. James Herndon, 2023. "P-Hacking Made Easy," Journal of Economics Teaching, Journal of Economics Teaching, vol. 8(3), pages 173-193, October.
  36. Adriano Koshiyama & Nick Firoozye, 2019. "Avoiding Backtesting Overfitting by Covariance-Penalties: an empirical investigation of the ordinary and total least squares cases," Papers 1905.05023, arXiv.org.
  37. 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.
  38. 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.
  39. 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).
  40. Ingmar Böschen, 2021. "Software review: The JATSdecoder package—extract metadata, abstract and sectioned text from NISO-JATS coded XML documents; Insights to PubMed central’s open access database," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9585-9601, December.
  41. Bilgin, Rumeysa, 2023. "The Selection Of Control Variables In Capital Structure Research With Machine Learning," SocArXiv e26qf_v1, Center for Open Science.
  42. 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).
  43. Piotr Bialowolski & Dorota Weziak-Bialowolska & Eileen McNeely, 2021. "The Role of Financial Fragility and Financial Control for Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 1137-1157, June.
  44. Bialek, Michal & Misiak, Michał & Dziekan, Martyna, 2021. "Why is the statistical revolution not progressing? Vicious cycle of the scientific reform," OSF Preprints gmfs9_v1, Center for Open Science.
  45. 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.
  46. David G Jenkins & Pedro F Quintana-Ascencio, 2020. "A solution to minimum sample size for regressions," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-15, February.
  47. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Apr 2024.
  48. Nate Breznau, 2021. "Does Sociology Need Open Science?," Societies, MDPI, vol. 11(1), pages 1-25, January.
  49. Robbie C M van Aert & Jelte M Wicherts & Marcel A L M van Assen, 2019. "Publication bias examined in meta-analyses from psychology and medicine: A meta-meta-analysis," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-32, April.
  50. 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.
  51. Salandra, Rossella & Criscuolo, Paola & Salter, Ammon, 2021. "Directing scientists away from potentially biased publications: the role of systematic reviews in health care," Research Policy, Elsevier, vol. 50(1).
  52. Stephen A. Gorman & Frank J. Fabozzi, 2021. "The ABC’s of the alternative risk premium: academic roots," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 405-436, October.
  53. Rajiv Sambasivan & Sourish Das & Sujit K. Sahu, 2020. "A Bayesian perspective of statistical machine learning for big data," Computational Statistics, Springer, vol. 35(3), pages 893-930, September.
  54. Freuli, Francesca & Held, Leonhard & Heyard, Rachel, 2022. "Replication success under questionable research practices – a simulation study," MetaArXiv s4b65_v1, Center for Open Science.
  55. Christof Weinhardt & Wil M. P. Aalst & Oliver Hinz, 2019. "Introducing Registered Reports to the Information Systems Community," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 381-384, August.
  56. Marko Kovic & Nina Hänsli, 2017. "The Impact of Political Cleavages, Religiosity, and Values on Attitudes towards Nonprofit Organizations," Social Sciences, MDPI, vol. 7(1), pages 1-18, December.
  57. Augusteijn, Hilde & 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, Center for Open Science.
  58. Freuli, Francesca & Held, Leonhard & Heyard, Rachel, 2022. "Replication success under questionable research practices – a simulation study," MetaArXiv s4b65, Center for Open Science.
  59. Nicky Agate & Rebecca Kennison & Stacy Konkiel & Christopher P. Long & Jason Rhody & Simone Sacchi & Penelope Weber, 2020. "The transformative power of values-enacted scholarship," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-12, December.
  60. Martin E Héroux & Janet L Taylor & Simon C Gandevia, 2015. "The Use and Abuse of Transcranial Magnetic Stimulation to Modulate Corticospinal Excitability in Humans," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-10, December.
  61. Tracey L Weissgerber & Vesna D Garovic & Jelena S Milin-Lazovic & Stacey J Winham & Zoran Obradovic & Jerome P Trzeciakowski & Natasa M Milic, 2016. "Reinventing Biostatistics Education for Basic Scientists," PLOS Biology, Public Library of Science, vol. 14(4), pages 1-12, April.
  62. 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.
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