Abandon Statistical Significance

MBMcshane, Blakeley B.GDGal, DavidGAGelman, AndrewRCRobert, ChristianTJTackett, Jennifer L.

Abstract

We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication and more broadly in the biomedical and social sciences as well as how these problems remain unresolved by proposals involving modified p-value thresholds, confidence intervals, and Bayes factors. We then discuss our own proposal, which is to abandon statistical significance. We recommend dropping the NHST paradigm--and the p-value thresholds intrinsic to it--as the default statistical paradigm for research, publication, and discovery in the biomedical and social sciences. Specifically, we propose that the p-value be demoted from its threshold screening role and instead, treated continuously, be considered along…

Citation impact

466
total citations
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References
91
Citations per year

Authors

5
  • MB
    Mcshane, Blakeley B.Corresponding
  • GD
    Gal, David
  • GA
    Gelman, Andrew
  • RC
    Robert, Christian
  • TJ
    Tackett, Jennifer L.

Topics & keywords

Keywords
  • Statistics
  • Statistical significance
  • Mathematics
  • Computer science
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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