Statistical analyses
REGRESSION, APPENDIX
We conducted our analyses under a Bayesian framework. Bayesian regression models estimate a A Bayesian regression model was constructed for each outcome, totaling nine models (see model parameterizations in Supplemental Digital Appendix 2). The priors for each model were intended to be weakly informative, meaning that they did not favour a particular response distribution prior to observing the actual data. Prior predictive checks provided visual evidence that our prior specifications could generate nearly every possible response distribution for each outcome, confirming that they were weakly informative.The initial quantity of interest in answering Research Question #1 (i.e., whether the intervention had an effect) was the condition term in each model, and the quantity of interest in answering Research Question #2 (i.e., whether the effect of the prompt differed by PCL) was the interaction term between condition and PCL.Models were constructed using the brms and cmdstanr packages [