Twelve P Value Misconceptions

This commentary reviews a dozen of these common misinterpretations and explains why each is wrong.

It also reviews the possible consequences of these improper understandings or representations of its meaning.

Finally, it contrasts the P value with its Bayesian counterpart, the Bayes’ factor, which has virtually all of the desirable properties of an evidential measure that the P value lacks,most notably interpretability.

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