Abstract:Sciences that use the null hypothesis statistical test continue to contend with type I errors (false positives) and type II errors (false negatives). In addition to those errors, statisticians and researchers have identified type III and type IV errors, which focus a scientist’s attention on the larger logical and epistemic outcomes of statistical decision-making that accompany either rejecting or retaining the null hypothesis. Specifically, type III and IV errors interrogate the match between theory and measu… Show more
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