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The present comment reviews practices revolving around tests of statistical significance. First, the logic of statistical significance testing is presented in an accessible manner; many people who use statistical tests might not place such a premium on the tests if these individuals understood what the tests really do, and what the tests do not do. Second, the etiology of decades of misuse of statistical tests is briefly explored; we must understand the bad implicit logic of persons who misuse statistical tests if we are to have any hope of persuading them to alter their practices. Third, three revised editorial policies that would improve conventional practice are highlighted.
Bruce Thompson (Fri,) studied this question.