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Correcting Corrupt Research: Recommendations for the Profession to Stop Misuse of p-Values

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  • John L. Kmetz

Abstract

p-Values and Null Hypothesis Significance Testing (NHST), combined with a large number of institutional factors, jointly define the Generally Accepted Soft Social Science Publishing Process (GASSSPP) that is now dominant in the social sciences and is increasingly used elsewhere. The case against NHST and the GASSSPP has been abundantly articulated over past decades, and yet it continues to spread, supported by a large number of self-reinforcing institutional processes. In this article, the author presents a number of steps that may be taken to counter the spread of this corruption that directly address the institutional forces, both as individuals and through collaborative efforts. While individual efforts are indispensable to this undertaking, the author argues that these alone cannot succeed unless the institutional forces are also addressed. Supplementary materials for this article are available online.

Suggested Citation

  • John L. Kmetz, 2019. "Correcting Corrupt Research: Recommendations for the Profession to Stop Misuse of p-Values," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 36-45, March.
    • Handle: RePEc:taf:amstat:v:73:y:2019:i:s1:p:36-45
    DOI: 10.1080/00031305.2018.1518271
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