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Rejecting or Accepting Parameter Values in Bayesian Estimation
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DOI：10.1177/2515245918771304.png)
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Abstract
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This article explains a decision rule that uses Bayesian posterior distributions as the basis for accepting or rejecting null values of parameters. This decision rule focuses on the range of plausible values indicated by the highest density interval of the posterior distribution and the relation between this range and a region of practical equivalence (ROPE) around the null value. The article also discusses considerations for setting the limits of a ROPE and emphasizes that analogous considerations apply to setting the decision thresholds for p values and Bayes factors.
Keywords:
Bayesian
credible interval
Bayes factor
equivalence testing
hypothesis testing
meta-analysis
open materials
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