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  1. Statistical dogma and the logic of significance testing.Stephen Spielman - 1978 - Philosophy of Science 45 (1):120-135.
    In a recent note Roger Carlson presented a rather negative appraisal of my treatment of the logic of Fisherian significance testing in [10]. The main issue between us involves Carlson's thesis that, within the limits set by Fisher, standard significance tests are valuable tools of data analysis as they stand, i.e., without modification of the structure of the reasoning they employ. Call this the adequacy thesis. In my paper I argued that the pattern of reasoning employed by tests of significance (...)
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  • A refutation of the Neyman-Pearson theory of testing.Stephen Spielman - 1973 - British Journal for the Philosophy of Science 24 (3):201-222.
  • Confidence intervals and tests are two sides of the same research question.Jose D. Perezgonzalez - 2015 - Frontiers in Psychology 6.
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  • Tests of significance following R. A. Fisher.D. J. Johnstone - 1987 - British Journal for the Philosophy of Science 38 (4):481-499.
  • Review: Probability and Induction. [REVIEW]Ernest H. Hutten - 1958 - British Journal for the Philosophy of Science 9 (33):43-51.
  • Using Bayes to get the most out of non-significant results.Zoltan Dienes - 2014 - Frontiers in Psychology 5.
  • Statistical Decision Functions.Abraham Wald - 1950 - Wiley: New York.
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