Data analysis
REGRESSION

The Kolmogorov-Smirnov test documented the absence of a normal distribution between continuous and ordinal variables, so we chose to use non-parametric statistics. Therefore, for the descriptive statistics, tables were compiled containing absolute and relative frequencies, as well as measures of position and dispersion (median, interquartile range, minimum and maximum values). The groups were compared using the Chi-squared test for the categorical variables. The Mann-Whitney U test was used for the analysis of the continuous variables, and the Wilcoxon test were used for the analysis of paired samples,

Finally, multivariate logistic regression was used to analyze the association regarding the groups and the deltas of the total scores (postest–pretest) of the scales used. All analyses were performed using the Jeffreys's Amazing Statistics Program (JASP, open source), version 0.16.3. The significance level adopted for the statistical tests was of 5%, that is,
