New-day statistical thinking: A bold proposal for a radical change in practices

Arjen Witteloostuijn ()
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Arjen Witteloostuijn: Vrije Universiteit Amsterdam

Journal of International Business Studies, 2020, vol. 51, issue 2, No 7, 274-278

Abstract: Abstract In this commentary, I argue why we should stop engaging in null hypothesis statistical significance testing altogether. Artificial and misleading it may be, but we know how to play the p value threshold and null hypothesis-testing game. We feel secure; we love the certainty. The fly in the ointment is that the conventions have led to questionable research practices. Wasserstein, Schirm, & Lazar (Am Stat 73(sup1):1–19, 2019. https://doi.org/10.1080/00031305.2019.1583913) explain why, in their thought-provoking editorial introducing a special issue of The American Statistician: “As ‘statistical significance’ is used less, statistical thinking will be used more.” Perhaps we empirical researchers can together find a way to work ourselves out of the straitjacket that binds us.

Keywords: null hypothesis testing; statistical significance; questionable research practices (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (4)

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DOI: 10.1057/s41267-019-00288-8

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