## 2 Methods
### Statistical Analysis
#### Validation Process  
The Quality of the Defensive Reactive Agility Test (DRAT)  
The validation process of the defensive reactive agility test (DRAT) was based on a test-retest evaluation of the results. The analysis included a few steps of assessment:  
Agreement--the capacity of the test applied twice on the same respondents under the same conditions to provide strictly identical results [44]; the \(t\)-Student pairwise test was used to assess the equality of the mean values in the test and retest. In addition, the effect size with [PERSON]'s \(d\) was calculated, following the rule of thumb when interpreting [PERSON]'s \(d\): 0.2--small effect size, 0.5--medium effect size, 0.8--large effect size [45]. In addition, the analysis was supplemented with a visual assessment using Bland-Altman plots [46] together with statistics: mean difference and its 95%CI and repeatability coefficient (\(RC\)); repeatability coefficient was calculated with the formula: \(RC=1.96\times\sqrt{SD_{pooled}}\), the repeatability coefficient is a number that, if two tests of the same variable under the same conditions are made, the difference between those two measurements will be less than the \(RC\) in 95% of cases [47]. The smaller the repeatability coefficient is, the better; however, it is an absolute index of agreement suitable for variables with the same units. Reliability--the capacity of a test to replicate the same ordering between respondents when measured twice [48]; to study reliability, the intraclass correlation coefficient was used. From among many models, the ICC (3.1) model was applied; this model is preferable because it is the observed correlation between measurements in two real-life trials. In the calculation of the ICC (3.1), it does not matter whether trials are treated as a fixed or a random effect [49]. The ICC (3.1) model, according to the Shrout and Fleiss [50] convention, corresponds with a two-way mixed effect, absolute agreement, and a single rater reporting standard. An intraclass correlation coefficient, according to [PERSON] and [PERSON] [51], was classified as less than 0.50, with poor reliability between 0.5 and 0.70, moderate reliability between 0.75 and 0.9, good reliability greater than 0.9, and excellent reliability. Accuracy--presents how close a given set of measurements (observations or readings) are to their true value. The measurement of the accuracy is the standard error of measurement (_SEM_), which gives a margin of error that should be expected in an individual test score because of the imperfect reliability of the test. In addition, the minimal difference (_MD_) needed to be considered for the real difference for total time and each component of the test was also calculated. The following formulas were used [52]. \(SEM=\sqrt{MS_{E}}\), where \(MS_{E}\) is the mean square error term derived from the repeated measures analysis of variance (ANOVA),  
\(MD=SEM\times\ z_{\text{crit}}\times\sqrt{2}\), where \(SEM\) is the standard error of measurement, \(z_{\text{crit}}\) is 1.96. Validity--refers to what characteristics the test measures and how well the test measures those characteristics. The strategy of calculating validity in this study was based on the criterion-related validation method, which requires a demonstration of the correlation (or other statistical relationship between two sets of results [53]); the most usable measure of associations between two measurements is Pearson's product-moment correlation coefficient (r); however, [PERSON]'s correlation may not be theoretically appropriate in a repeated measure study as it ignores the correlation of the outcomes from multiple trials within the same subject. Therefore, to avoid violating the assumptions for linear relationship analysis conducted for repeated measures [54], the correlation under random intercept model circumstance (\(\Phi\)) was calculated [55]. The alpha level was fixed at \(\alpha\) = 0.05, and calculated \(p\)-values \(<\) 0.05 were found to be statistically significant.