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    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Lecoutre, Bruno Lecoutre, Marie-Paule and Poitevineau, Jacques 2001. Uses, Abuses and Misuses of Significance Tests in the Scientific Community: Won't the Bayesian Choice be Unavoidable?. International Statistical Review, Vol. 69, Issue. 3, p. 399.


Null-hypothesis tests are not completely stupid, but Bayesian statistics are better

  • David Rindskopf (a1)
  • DOI:
  • Published online: 01 April 1998

Unfortunately, reading Chow's work is likely to leave the reader more confused than enlightened. My preferred solutions to the “controversy” about null- hypothesis testing are: (1) recognize that we really want to test the hypothesis that an effect is “small,” not null, and (2) use Bayesian methods, which are much more in keeping with the way humans naturally think than are classical statistical methods.

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Behavioral and Brain Sciences
  • ISSN: 0140-525X
  • EISSN: 1469-1825
  • URL: /core/journals/behavioral-and-brain-sciences
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