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Three Recommendations for Improving the Use of p-Values

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  • Daniel J. Benjamin
  • James O. Berger

Abstract

Researchers commonly use p-values to answer the question: How strongly does the evidence favor the alternative hypothesis relative to the null hypothesis? p-Values themselves do not directly answer this question and are often misinterpreted in ways that lead to overstating the evidence against the null hypothesis. Even in the “post p

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  • Daniel J. Benjamin & James O. Berger, 2019. "Three Recommendations for Improving the Use of p-Values," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 186-191, March.
    • Handle: RePEc:taf:amstat:v:73:y:2019:i:s1:p:186-191
    DOI: 10.1080/00031305.2018.1543135
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    Citations

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    Cited by:

    1. Eleni Verykouki & Christos T. Nakas, 2023. "Adaptations on the Use of p -Values for Statistical Inference: An Interpretation of Messages from Recent Public Discussions," Stats, MDPI, vol. 6(2), pages 1-13, April.
    2. Bibhas Chakraborty, 2020. "Statistical Remedies for Medical Researchers," International Statistical Review, International Statistical Institute, vol. 88(3), pages 802-804, December.
    3. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
    4. Jae H. Kim, 2022. "Moving to a world beyond p-value," Review of Managerial Science, Springer, vol. 16(8), pages 2467-2493, November.
    5. Ana Escudero & Mᵃ Oliva Lago & Cristina Dopico, 2022. "Gender Similarities in the Mathematical Performance of Early School-Age Children," Mathematics, MDPI, vol. 10(17), pages 1-24, August.
    6. Michał Marcin Kobierecki & Michał Pierzgalski, 2022. "Sports Mega-Events and Economic Growth: A Synthetic Control Approach," Journal of Sports Economics, , vol. 23(5), pages 567-597, June.
    7. Wickes, Ron, 2021. "Trade deficits and trade conflict: The United States and Japan," Japan and the World Economy, Elsevier, vol. 60(C).
    8. Ma, Zichen & Hanson, Timothy E., 2020. "Bayesian nonparametric test for independence between random vectors," Computational Statistics & Data Analysis, Elsevier, vol. 149(C).

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