# Sum-score effect sizes for multilevel Bayesian cumulative probit models

This is a follow-up to my earlier post, *Notes on the Bayesian cumulative probit*. This time, the topic we’re addressing is: *After you fit a full multilevel Bayesian cumulative probit model of several Likert-type items from a multi-item questionnaire, how can you use the model to compute an effect size in the sum-score metric?*