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Tackling False Positives In Business Research: A Statistical Toolbox With Applications

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  • Jae H. Kim

Abstract

Serious concerns have been raised that false positive findings are widespread in empirical research in business disciplines. This is largely because researchers almost exclusively adopt the ‘p‐value less than 0.05’ criterion for statistical significance; and they are often not fully aware of large‐sample biases which can potentially mislead their research outcomes. This paper proposes that a statistical toolbox (rather than a single hammer) be used in empirical research, which offers researchers a range of statistical instruments, including a range of alternatives to the p‐value criterion such as the Bayesian methods, optimal significance level, sample size selection, equivalence testing and exploratory data analyses. It is found that the positive results obtained under the p‐value criterion cannot stand, when the toolbox is applied to three notable studies in finance.

Suggested Citation

  • Jae H. Kim, 2019. "Tackling False Positives In Business Research: A Statistical Toolbox With Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 862-895, July.
  • Handle: RePEc:bla:jecsur:v:33:y:2019:i:3:p:862-895
    DOI: 10.1111/joes.12303
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    Cited by:

    1. Kim, Jae H. & Shamsuddin, Abul, 2023. "Stock market anomalies: An extreme bounds analysis," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Jae H. Kim & Andrew P. Robinson, 2019. "Interval-Based Hypothesis Testing and Its Applications to Economics and Finance," Econometrics, MDPI, vol. 7(2), pages 1-22, May.
    3. Jae H. Kim, 2022. "Moving to a world beyond p-value," Review of Managerial Science, Springer, vol. 16(8), pages 2467-2493, November.
    4. Kellner, Ralf & Rösch, Daniel, 2021. "A Bayesian Re-Interpretation of “significant” empirical financial research," Finance Research Letters, Elsevier, vol. 38(C).
    5. Engsted, Tom & Schneider, Jesper W., 2023. "Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective," SocArXiv nztk8, Center for Open Science.
    6. Paritosh Chandra Sinha, 2021. "Attention to the Election-Economics-Politics (EEP) Nexus in the Indian Stock Markets," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 13(1), pages 7-32, June.

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