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Three Views of Statistical Tests

In: The Significance Test Controversy Revisited

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  • Bruno Lecoutre

    (Universite de Rouen, CNRS)

  • Jacques Poitevineau

    (Université Pierre et Marie Curie, CNRS)

Abstract

The rationale behind the three main views of statistical tests is briefly reviewed. Current practice is based on the Fisher “test of significance” and the Neyman-Pearson “hypothesis test.” Jeffreys’ approach is a Bayesian alternative based on the use of “objective” prior probabilities of hypotheses. The main similarities and dissimilarities of these three approaches will be examined from a methodological point of view: what is the aim of statistical inference, and what is the relevance of significance tests in experimental research? The dangers inherent in an uncritical application of the Neyman-Pearson approach will also be stressed.

Suggested Citation

  • Bruno Lecoutre & Jacques Poitevineau, 2022. "Three Views of Statistical Tests," Springer Books, in: The Significance Test Controversy Revisited, edition 2, chapter 0, pages 19-32, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-65705-8_3
    DOI: 10.1007/978-3-662-65705-8_3
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