2.5. Statistical Analysis
Data were entered into IBM SPSS Statistics 20 software for analysis (SPSS, Chicago, III). Normality tests were conducted on all the quantitative variables. The assumption of normality was not rejected through the Shapiro–Wilk test, and histogram analysis confirmed the normality of the data. A 3 × 3 (group × time) repeated-measures analysis of variance (ANOVA) with Bonferroni´s post hoc adjustment for multiple comparisons was used. Mean and standard deviation values were used to describe normally distributed data. For the qualitative variables (FS, VAS, TQR), a Friedman test was conducted to assess differences between groups and treatments.When Friedman´s test presented a statistical difference, pairwise comparisons adjusted for Bonferroni were automatically conducted. The median and interquartile range (IQR) was used to describe qualitative and nonparametric data. In addition, to confirm training load homogeneity, groups were considered independent of each other, and a Kruskal–Wallis test by rank was conducted after the typically assumed data was rejected [