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The Quarterly Journal of Experimental Psychology Volume 68, 2015 - Issue 4
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What p-hacking really looks like: A comment on Masicampo and LaLande (2012)

Daniël LakensSchool of Innovation Science, Eindhoven University of Technology, Human Technology Interaction Group, Eindhoven, The NetherlandsCorrespondence[email protected]
Pages 829-832 | Received 30 Sep 2014, Accepted 07 Oct 2014, Published online: 06 Dec 2014

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Nicholas David Bowman & Justin Robert Keene. (2018) A Layered Framework for Considering Open Science Practices. Communication Research Reports 35:4, pages 363-372.
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Edgar Erdfelder & Daniel W. Heck. (2019) Detecting Evidential Value and p -Hacking With the p -Curve Tool . Zeitschrift für Psychologie 227:4, pages 249-260.
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Kaylie A. Carbine, Hannah M. Lindsey, Rebekah E. Rodeback & Michael J. Larson. (2019) Quantifying evidential value and selective reporting in recent and 10-year past psychophysiological literature: A pre-registered P-curve analysis. International Journal of Psychophysiology 142, pages 33-49.
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Samantha F. Anderson, Ken Kelley & Scott E. Maxwell. (2017) Sample-Size Planning for More Accurate Statistical Power: A Method Adjusting Sample Effect Sizes for Publication Bias and Uncertainty. Psychological Science 28:11, pages 1547-1562.
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Lisa M. Oakes. (2017) Sample Size, Statistical Power, and False Conclusions in Infant Looking-Time Research. Infancy 22:4, pages 436-469.
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Chris H.J. Hartgerink. (2017) Reanalyzing Head et al. (2015): investigating the robustness of widespread p -hacking . PeerJ 5, pages e3068.
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Arnaud Vaganay. (2016) Outcome Reporting Bias in Government-Sponsored Policy Evaluations: A Qualitative Content Analysis of 13 Studies. PLOS ONE 11:9, pages e0163702.
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Robbie C. M. van Aert, Jelte M. Wicherts & Marcel A. L. M. van Assen. (2016) Conducting Meta-Analyses Based on p Values . Perspectives on Psychological Science 11:5, pages 713-729.
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Miguel A. Vadillo, Natalie Gold & Magda Osman. (2016) The Bitter Truth About Sugar and Willpower. Psychological Science 27:9, pages 1207-1214.
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Chris H.J. Hartgerink, Robbie C.M. van Aert, Michèle B. Nuijten, Jelte M. Wicherts & Marcel A.L.M. van Assen. (2016) Distributions of p -values smaller than .05 in psychology: what is going on? . PeerJ 4, pages e1935.
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Dorothy V.M. Bishop & Paul A. Thompson. (2016) Problems in using p -curve analysis and text-mining to detect rate of p -hacking and evidential value . PeerJ 4, pages e1715.
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Stephan B. Bruns & John P. A. Ioannidis. (2016) p-Curve and p-Hacking in Observational Research. PLOS ONE 11:2, pages e0149144.
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Daniël Lakens. (2015) On the challenges of drawing conclusions from p -values just below 0.05 . PeerJ 3, pages e1142.
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Michèle B. Nuijten, Marcel A. L. M. van Assen, Coosje L. S. Veldkamp & Jelte M. Wicherts. (2015) The Replication Paradox: Combining Studies can Decrease Accuracy of Effect Size Estimates. Review of General Psychology 19:2, pages 172-182.
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