“…However, other parameters affect the reliability analysis and were therefore included in this study: the coefficient of variation (CV) for the extent of variability, defined as the ratio of the SD to the mean (CV = SD/Mean × 100); the standard error of measurement (SEM) for the effect of measurement error, defined as the SD of an individual's repeated measurements (SEM = SD × √ 1 − ICC); the smallest real difference (SRD), defined as a measure of sensitivity to change (SRD = 1.96 × √ 2 × SEM) [42,43]. To assess the magnitude of the reliability analysis, the threshold values were considered as follows: poor (<0.5), moderate (0.50-0.75), good (0.75-0.90), and excellent (>0.90) for the ICC [44]; unacceptable (<0.5), poor (0.5-0.6), questionable (0.6-0.7), acceptable (0.7-0.8), good (0.8-0.9), and excellent (>0.90) for the Cronbach's α [45]; not acceptable (>30), acceptable (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), good (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) and very good (<10) for the CV [46]; perfectly reliable (equal to 0) and completely unreliable (equal to the SD) for the SEM [46]; acceptable (<30%) for the SRD [47]. Finally, for the analysis of variance of the dependent variables, repeated measures ANOVA (p < 0.05) was used separately to compare differences in mean scores between the two testing sessions (T1 and T2).…”