2.5. Statistical Analysis
Asymmetry and kurtosis tests and visual inspection of histograms analyzed the distributions of numeric variables. After analyzing the distributions, numerical data were described by the mean and standard deviation (±) or median and 25–75 percentiles, depending on the data normality. Categorical data were described with absolute frequency and relative frequency. Differences in the scores of each instrument were evaluated via analysis of variance (ANOVA) of mixed measures (groups and time) to identify possible differences between groups, time, and/or interactions. If a significant difference was detected, Bonferroni’s post hoc was used. The homogeneity of the data was analyzed using the Levene test, and the residual distribution analysis was performed utilizing visual inspection of the residual graphs. When only the timing effect was found, paired Student’s 