This analysis shows how equivalence tests enhance understanding of p-values and other statistical concepts, implying reduced misinterpretation risks.
Greenland and colleagues (Greenland et al., 2016) published a list with 25 common misinterpretations of statistical concepts such as power, confidence intervals, and, in points 1-10, p-values. Here I’ll explain how 50% of these problems are resolved by using equivalence tests in addition to null-hypothesis significance tests.
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Daniël Lakens (2017) studied this question.
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