Data Analysis
Pearson correlations (r ) were used to assess the relation between contexts for all subscales meeting normal distribution assumptions, and the Shapiro-Wilk test and Spearman’s ρ were used for non-normally distributed subscales. Scores for T1 and T2 were correlated independently. To evaluate the relation between change across contexts, we calculated the standardized mean differences between T1 and T2 for each subscale and total for each context. For SC, RRB, and Total, we conducted dependent samples t -tests and calculated Hedges’g , which includes a correction for small sample sizes. For OAB, we conducted a non-parametric Wilcoxon signed rank test due to non-normality, and calculated the rank correlation effect size r . Finally, we calculated Pearson’s r for change scores between contexts after determining all differences were normally distributed. We conducted all analyses in R 4.0.3 using the rstatix package.