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

Arjen van Witteloostuijn*

*Corresponding author for this work

Research output: Contribution to JournalComment / Letter to the editorAcademic

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.

Original languageEnglish
Pages (from-to)274-278
Number of pages5
JournalJournal of International Business Studies
Volume51
Issue number2
DOIs
Publication statusPublished - 1 Mar 2020

Keywords

  • null hypothesis testing
  • questionable research practices
  • statistical significance

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