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Rejoinder: Statistical Significance and the Dichotomization of Evidence

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  • Blakeley B. McShane
  • David Gal

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Suggested Citation

  • Blakeley B. McShane & David Gal, 2017. "Rejoinder: Statistical Significance and the Dichotomization of Evidence," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 904-908, July.
    • Handle: RePEc:taf:jnlasa:v:112:y:2017:i:519:p:904-908
    DOI: 10.1080/01621459.2017.1323642
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    References listed on IDEAS

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    1. William M. Briggs, 2017. "The Substitute for -Values," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 897-898, July.
    2. Eric B. Laber & Kerby Shedden, 2017. "Statistical Significance and the Dichotomization of Evidence: The Relevance of the ASA Statement on Statistical Significance and p-Values for Statisticians," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 902-904, July.
    3. Blakeley B. McShane & David Gal, 2016. "Blinding Us to the Obvious? The Effect of Statistical Training on the Evaluation of Evidence," Management Science, INFORMS, vol. 62(6), pages 1707-1718, June.
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    Cited by:

    1. Luigi Pace & Alessandra Salvan, 2020. "Likelihood, Replicability and Robbins' Confidence Sequences," International Statistical Review, International Statistical Institute, vol. 88(3), pages 599-615, December.
    2. Jeffrey A. Mills & Gary Cornwall & Beau A. Sauley & Jeffrey R. Strawn, 2018. "Improving the Analysis of Randomized Controlled Trials: a Posterior Simulation Approach," BEA Working Papers 0157, Bureau of Economic Analysis.
    3. Glenn Shafer, 2021. "Testing by betting: A strategy for statistical and scientific communication," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 407-431, April.
    4. David J. Hand, 2022. "Trustworthiness of statistical inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 329-347, January.
    5. Anderson, Brian S., 2022. "What executives get wrong about statistics: Moving from statistical significance to effect sizes and practical impact," Business Horizons, Elsevier, vol. 65(3), pages 379-388.
    6. Maximilian Maier & Tyler J. VanderWeele & Maya B. Mathur, 2022. "Using selection models to assess sensitivity to publication bias: A tutorial and call for more routine use," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(3), September.
    7. Hirschauer Norbert & Grüner Sven & Mußhoff Oliver & Becker Claudia, 2019. "Twenty Steps Towards an Adequate Inferential Interpretation of p-Values in Econometrics," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(4), pages 703-721, August.
    8. Bertoldi, Paolo & Mosconi, Rocco, 2020. "Do energy efficiency policies save energy? A new approach based on energy policy indicators (in the EU Member States)," Energy Policy, Elsevier, vol. 139(C).
    9. Maier, Maximilian & VanderWeele, Tyler & Mathur, Maya B, 2021. "Using Selection Models to Assess Sensitivity to Publication Bias: A Tutorial and Call for More Routine Use," MetaArXiv tp45u, Center for Open Science.
    10. Anderson, Brian S. & Wennberg, Karl & McMullen, Jeffery S., 2019. "Editorial: Enhancing quantitative theory-testing entrepreneurship research," Journal of Business Venturing, Elsevier, vol. 34(5), pages 1-1.
    11. Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.
    12. Sadri, Arash, 2022. "The Ultimate Cause of the “Reproducibility Crisis”: Reductionist Statistics," MetaArXiv yxba5, Center for Open Science.
    13. Strømland, Eirik, 2019. "Preregistration and reproducibility," Journal of Economic Psychology, Elsevier, vol. 75(PA).
    14. Han Wang & Sieglinde S Snapp & Monica Fisher & Frederi Viens, 2019. "A Bayesian analysis of longitudinal farm surveys in Central Malawi reveals yield determinants and site-specific management strategies," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-17, August.
    15. Wennberg, Karl & Anderson, Brian S. & McMullen, Jeffrey, 2019. "2 Editorial: Enhancing Quantitative Theory-Testing Entrepreneurship Research," Ratio Working Papers 323, The Ratio Institute.
    16. J. M. Bauer & L. A. Reisch, 2019. "Behavioural Insights and (Un)healthy Dietary Choices: a Review of Current Evidence," Journal of Consumer Policy, Springer, vol. 42(1), pages 3-45, March.
    17. Maya B. Mathur & Tyler J. VanderWeele, 2020. "Sensitivity analysis for publication bias in meta‐analyses," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1091-1119, November.
    18. Tom Engsted, 2024. "What Is the False Discovery Rate in Empirical Research?," Econ Journal Watch, Econ Journal Watch, vol. 21(1), pages 1-92–112, March.

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