9 References

Anderson, Christopher Jon, Joanna Anderson, Marcel A. L.M, Peter Raymond Attridge, Angela Attwood, Jordan Axt, Molly Babel, Štěpán Bahník, Erica Baranski, and Michael Barnett-Cowan. 2013. “Reproducibility Project: Psychology.” OSF. https://doi.org/ 10.17605/OSF.IO/EZCUJ.
Benjamin, Daniel J., James O. Berger, Magnus Johannesson, Brian A. Nosek, E.-J. Wagenmakers, Richard Berk, Kenneth A. Bollen, et al. 2017. “Redefine Statistical Significance.” Nature Human Behaviour 2 (September): 6–10. https://doi.org/10.1038/s41562-017-0189-z.
Cassidy, Scott A., Ralitza Dimova, Benjamin Giguère, Jeffrey R. Spence, and David J. Stanley. 2019. “Failing Grade: 89.” Advances in Methods and Practices in Psychological Science 2 (June): 233–39. https://doi.org/10.1177/2515245919858072.
COMPare. 2015. “Tracking Switched Outcomes in Clinical Trials.” COMPare. https://compare-trials.org/.
Funder, David C., and Daniel J. Ozer. 2019. “Evaluating Effect Size in Psychological Research: Sense and Nonsense.” Advances in Methods and Practices in Psychological Science 2 (May): 156–68. https://doi.org/10.1177/2515245919847202.
Galef, Julia. 2015. “A Visual Guide to Bayesian Thinking.” YouTube. https://www.youtube.com/watch?v=BrK7X_XlGB8.
Gelman, Andrew, and John Carlin. 2014. “Beyond Power Calculations.” Perspectives on Psychological Science 9 (November): 641–51. https://doi.org/10.1177/1745691614551642.
Gelman, Andrew, and Hal Stern. 2006. “The Difference Between ‘Significant’ and ‘Not Significant’ Is Not Itself Statistically Significant.” The American Statistician 60 (November): 328–31. https://doi.org/10.1198/000313006x152649.
Gilbert, D. T., G. King, S. Pettigrew, and T. D. Wilson. 2016. “Comment on "Estimating the Reproducibility of Psychological Science".” Science 351 (March): 1037–37. https://doi.org/10.1126/science.aad7243.
Greenland, Sander, Stephen J. Senn, Kenneth J. Rothman, John B. Carlin, Charles Poole, Steven N. Goodman, and Douglas G. Altman. 2016. “Statistical Tests, p Values, Confidence Intervals, and Power: A Guide to Misinterpretations.” European Journal of Epidemiology 31 (April): 337–50. https://doi.org/10.1007/s10654-016-0149-3.
Haller, Heiko, and Stefan Krauss. 2002. “Misinterpretations of Significance: A Problem Students Share with Their Teachers?” Methods of Psychological Research Online 7.
Hoekstra, Rink, Richard D. Morey, Jeffrey N. Rouder, and Eric-Jan Wagenmakers. 2014. “Robust Misinterpretation of Confidence Intervals.” Psychonomic Bulletin & Review 21 (January): 1157–64. https://doi.org/10.3758/s13423-013-0572-3.
https://fs.blog/2016/01/karl-popper-on-science-pseudoscience/. 2016. “Karl Popper on the Line Between Science and Pseudoscience.” Farnam Street. https://fs.blog/2016/01/karl-popper-on-science-pseudoscience/.
Ioannidis, John P. A. 2005. “Why Most Published Research Findings Are False.” PLoS Medicine 2 (August): e124. https://doi.org/10.1371/journal.pmed.0020124.
Kristin, Lennox. 2016. “All about That Bayes: Probability, Statistics, and the Quest to Quantify Uncertainty.” YouTube. https://www.youtube.com/watch?v=eDMGDhyDxuY.
Lakens, Daniël. 2021. “The Practical Alternative to the p Value Is the Correctly Used p Value.” Perspectives on Psychological Science 16 (February): 639–48. https://doi.org/10.1177/1745691620958012.
Lakens, Daniel, Federico G. Adolfi, Casper J. Albers, Farid Anvari, Matthew A. J. Apps, Shlomo E. Argamon, Thom Baguley, et al. 2018. “Justify Your Alpha.” Nature Human Behaviour 2 (February): 168–71. https://doi.org/10.1038/s41562-018-0311-x.
Lakens, Daniël, Anne M. Scheel, and Peder M. Isager. 2018. “Equivalence Testing for Psychological Research: A Tutorial.” Advances in Methods and Practices in Psychological Science 1 (June): 259–69. https://doi.org/10.1177/2515245918770963.
McElreath, Richard. 2017. “Bayesian Statistics Without Frequentist Language.” YouTube. https://www.youtube.com/watch?v=yakg94HyWdE.
McShane, Blakeley B., Ulf Böckenholt, and Karsten T. Hansen. 2016. “Adjusting for Publication Bias in Meta-Analysis.” Perspectives on Psychological Science 11 (September): 730–49. https://doi.org/10.1177/1745691616662243.
McShane, Blakeley B., and David Gal. 2016. “Blinding Us to the Obvious? The Effect of Statistical Training on the Evaluation of Evidence.” Management Science 62 (June): 1707–18. https://doi.org/10.1287/mnsc.2015.2212.
McShane, Blakeley B, David Gal, Andrew Gelman, Christian Robert, and Jennifer L Tackett. 2017. “Abandon Statistical Significance.” arXiv.org. https://arxiv.org/abs/1709.07588.
Meehl, Paul E. 1967. “Theory-Testing in Psychology and Physics: A Methodological Paradox.” Philosophy of Science 34 (June): 103–15. https://doi.org/10.1086/288135.
Rohrer, Julia M. 2018. “Thinking Clearly about Correlations and Causation: Graphical Causal Models for Observational Data.” Advances in Methods and Practices in Psychological Science 1 (January): 27–42. https://doi.org/10.1177/2515245917745629.
Schield, Milo. 1999. “Simpson’s Paradox and Cornfield’s Conditions.” ASA Proceedings of the Section on Statistical Educations. https://web.augsburg.edu/~schield/MiloPapers/99ASA.pdf.
Schoenfeld, Jonathan D, and John PA Ioannidis. 2012. “Is Everything We Eat Associated with Cancer? A Systematic Cookbook Review.” The American Journal of Clinical Nutrition 97 (November): 127–34. https://doi.org/10.3945/ajcn.112.047142.
Shirani-Mehr, Houshmand, David Rothschild, Sharad Goel, and Andrew Gelman. 2018. “Disentangling Bias and Variance in Election Polls.” Journal of the American Statistical Association 113 (March): 607–14. https://doi.org/10.1080/01621459.2018.1448823.
Simmons, Joseph P., Leif D. Nelson, and Uri Simonsohn. 2011. “False-Positive Psychology.” Psychological Science 22 (October): 1359–66. https://doi.org/10.1177/0956797611417632.
Simpson, Adrian. 2017. “The Misdirection of Public Policy: Comparing and Combining Standardised Effect Sizes.” Journal of Education Policy 32 (January): 450–66. https://doi.org/10.1080/02680939.2017.1280183.
Society, Royal Statistical. 2001. “RSS Statement Regarding Statistical Issues in the Sally Clark Case, October 23rd 2001.” Archive.org. http://web.archive.org/web/20011211220114/http://www.rss.org.uk/archive/reports/sclark.html.
Sweeney, Latanya. 2019. “Simple Demographics Often Identify People Uniquely.” Harvard.edu. https://privacytools.seas.harvard.edu/publications/simple-demographics-often-identify-people-uniquely.
Tukey, John W. 1991. “The Philosophy of Multiple Comparisons.” Statistical Science 6 (February): 100–116. https://doi.org/10.1214/ss/1177011945.
Wasserstein, Ronald L., and Nicole A. Lazar. 2016. “The ASA Statement on p-Values: Context, Process, and Purpose.” The American Statistician 70 (April): 129–33. https://doi.org/10.1080/00031305.2016.1154108.
Wasserstein, Ronald L., Allen L. Schirm, and Nicole A. Lazar. 2019. “Moving to a World Beyond ‘p < 0.05’.” The American Statistician 73 (March): 1–19. https://doi.org/10.1080/00031305.2019.1583913.
Weisberg, Jonathan. 2020. “15 Two Schools | Odds & Ends.” Jonathanweisberg.org. https://jonathanweisberg.org/vip/two-schools.html#two-schools.
Yarkoni, Tal. 2010. “What the Dunning-Kruger Effect Is and Isn’t.” [citation needed]. https://www.talyarkoni.org/blog/2010/07/07/What-the-Dunning-Kruger-effect-Is-and-Isnt/.