# Evaluating Agility in Pre-Adolescent Basketball: A Comparative Analysis of CODAT, IAT, and RAT
## 4 Results  
In our comprehensive analysis of agility performance among pre-adolescent basketball players, we observed a range of outcomes across different agility tests. As depicted in Table 1, the descriptive statistics provide a broad overview of participants' performances in the IAT, RAT, and both variants of the CODAT. Notably, the standard deviation and Intraclass Correlation Coefficient (ICC) values suggest varying levels of consistency and reliability across these assessments. Further, our regression analysis, detailed in Table 2, explores the predictive power of traditional agility tests (IAT and RAT) and the Predicted CODAT on the outcomes of the Unpredicted CODAT. This analysis reveals significant predictors of performance, underscoring the complexity of agility in sports settings. Specifically, the IAT and Predicted CODAT left side emerge as substantial factors influencing agility, pointing to the integral role of both physical dexterity and cognitive processing in unpredictable agility scenarios. Moreover, the Bland-Altman analyses, illustrated in Figure 2, allow us to examine the agreement between these agility tests more closely. This visual representation highlights the systematic differences and variability between our measures, providing insight into the unique dimensions each test captures regarding an athlete's agility. As depicted in Table 1, in the analysis of agility test performance, descriptive statistics revealed distinct patterns across various tests: IAT scores ranged broadly from 16,100 to 29,170, with a mean score of 20,211 and a standard deviation of 2428. This substantial spread of scores indicates a diverse level of agility among participants, with a distribution that may be slightly left-skewed, as reflected by the mean being closer to the upper end of the range. The RAT presented a more consistent set of performances, as evidenced by the smallest standard deviation of 196. The scores were clustered between 1560 and 2580, with an average score of 1869. The mean score leaning towards the lower end suggests a potentially right-skewed distribution of performances. Regarding the Predicted CODAT for the right side, the minimum and maximum scores were 6750 and 11,050, respectively, with an average score of 8148 and a standard deviation of 861. This test showed moderate variability in scores, indicating a reasonable level of consistency in participant performance with a relatively symmetrical distribution. The Predicted CODAT left side displayed a range from 5960 to 9950 and an average of 7363, paired with a standard deviation of 834. The results implied a slightly right-skewed distribution, suggesting a tendency towards lower scores for participants in this agility measure. Finally, the Unpredicted CODAT showed the greatest variability among the CODAT measures, with a standard deviation of 1071. Scores spanned from 6140 to 11,100, centering around a mean of 7667. The spread of scores suggests that this test may have been less predictable for participants, thus leading \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Agility Tests** & **Minimum** & **Maximum** & **Mean** & **Std. Deviation** & **Coefficient of** & **Intraclass Correlation Coefficient (ICC)** \\ \hline IAT & 16.100 & 29.170 & 20.211 & 2.428 & 12.01 & 0.80 \\ RAT & 1.560 & 2.580 & 1.869 & 0.196 & 10.51 & 0.85 \\ Predicted CODAT (right side) & 6.750 & 11.050 & 8.148 & 0.861 & 10.57 & 0.85 \\ Predicted CODAT (left Side) & 5.960 & 9.950 & 7.363 & 0.834 & 11.33 & 0.82 \\ Unpredicted CODAT & 6.140 & 11.100 & 7.667 & 1.071 & 13.97 & 0.75 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Descriptive statistics of agility test scores. to a wider range of performances. The CV% serves as a critical indicator, highlighting the relative variability of test outcomes. The IAT and RAT, with CV% values of 12.01% and 10.51%, respectively, exhibit moderate variability, suggesting a satisfactory level of reliability for these well-established measures.