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How to use Bayes factors and equivalence tests to better understand non-significant p-values

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Category: Communication

Description: I walk through why it’s important to have these kind of tests in your statistical toolkit and how to perform Bayesian and equivalence test versions of common frequentist p-value tests, such as correlations, t-tests, and ANOVAs. See Wiki for the video of the talk.

License: CC-By Attribution 4.0 International

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Presentation summary It is not possible to assess the evidence for a null effect when using traditional frequentist inference, regardless of the size of the p-value. Thus, non-significant effects are not terribly informative, as these p-values either indicate support for a null effect or insensitive data. This video provides a non-technical introduction to Bayesian hypothesis testing, which can as...

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