This analysis compares bayesian estimation and equivalence tests, highlighting key implications for statistics.
In a previous post, I compared equivalence tests to Bayes factors, and pointed out several benefits of equivalence tests. But a much more logical comparison, and one I did not give enough attention to so far, is the ROPE procedure using Bayesian estimation. I’d like to thank John Kruschke for feedback on a draft of this blog post.
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Daniel Lakens (2017) studied this question.
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