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The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known

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  • Robert J. Calin-Jageman
  • Geoff Cumming

Abstract

The “New Statistics” emphasizes effect sizes, confidence intervals, meta-analysis, and the use of Open Science practices. We present three specific ways in which a New Statistics approach can help improve scientific practice: by reducing overconfidence in small samples, by reducing confirmation bias, and by fostering more cautious judgments of consistency. We illustrate these points through consideration of the literature on oxytocin and human trust, a research area that typifies some of the endemic problems that arise with poor statistical practice.

Suggested Citation

  • Robert J. Calin-Jageman & Geoff Cumming, 2019. "The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 271-280, March.
    • Handle: RePEc:taf:amstat:v:73:y:2019:i:s1:p:271-280
    DOI: 10.1080/00031305.2018.1518266
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    Cited by:

    1. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
    2. Leonid Tiokhin & Minhua Yan & Thomas J. H. Morgan, 2021. "Competition for priority harms the reliability of science, but reforms can help," Nature Human Behaviour, Nature, vol. 5(7), pages 857-867, July.

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