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Practically, this means that instead of testing a threshold of significance (ie, P value or Bayes factor), we may instead compare the 95% credible regions of the data distributions and determine whether or not they overlap.
Bayesian ordinal probit regressions were used to compare Likert-scale responses using the MCMCoprobit and HPDinterval functions in the R packages MCMCpack [34] and Coda [35], respectively.
JMIR Public Health Surveill 2022;8(7):e32969
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