2.3.3. Statistical Analysis
The descriptive data of the sample are presented through the values of the mean and the standard deviation of the mean. The parameters of normality and homogeneity of the sample were verified through the Kolmogorov–Smirnov and Levene tests, respectively. Next, a two-way repeated measures analysis of variance was applied with TIME (before and after the application of the intervention program) and GROUP (CG vs. EG) as factors in order to analyze the possible effects and changes related to the training on each dependent variable for those variables with normal behavior. Within this statistical test, the Bonferroni post hoc test was applied when necessary to explore the possible differences between each of the two conditions. Finally, the equality of variance–covariance matrices was checked using the Box statistic. In the case of variables with non-normal behavior, the Friedman statistical test of measures was repeatedly applied with post hoc through Wilcoxon. The effect size (ES) was estimated by calculating the partial eta-squared (ŋP