Decision-making is a central skill of basketball players intending to excel individually and contribute to their teams’ success. The assessment of such skills is particularly challenging in complex team sports. To address this challenge, this study aimed to conceptualize a reliable and valid video-based decision-making assessment in youth basketball. The study sample comprised youth basketball players of the German U16 national team (n = 17; M_Age = 16.01 ± 0.25 years) and students of a sports class (n = 17; M_Age = 15.73 ± 0.35 years). Diagnostic validity was tested by determination of the performance levels according to response accuracy as well as response time in the assessment. External validity was examined by investigation of the correlation between the diagnostic results of the elite athletes and their real game performance data associated with passing skills. Logistic regression analysis revealed that the diagnostic results discriminate between performance levels (χ²(2) = 20.39, p < 0.001, Nagelkerke’s R² = 0.60). Multiple regression analysis demonstrated a positive relationship between the diagnostic results and assists (F(2,10) = 4.82, p < 0.05; R² = 0.49) as well as turnovers per game (F(2,10) = 5.23, p < 0.05; R² = 0.51). However, no relationship was detected regarding the assist-turnover ratio. Further, response time discriminated within the elite athletes’ performance data but not between performance levels while for response accuracy the opposite is the case. The results confirm the diagnostic and external validity of the assessment and indicate its applicability to investigate decision-making skills in youth basketball.

中文翻译：

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青少年篮球运动员的决策技巧：基于视频的评估的诊断和外部验证

决策是篮球运动员的一项核心技能，他们希望个人出类拔萃并为球队的成功做出贡献。在复杂的团队运动中，对此类技能的评估尤其具有挑战性。为了应对这一挑战，本研究旨在对青少年篮球比赛中基于视频的可靠且有效的决策评估进行概念化。该研究样本包括德国U16国家队的青年篮球运动员（n = 17；M_年龄= 16.01±0.25岁）和体育课的学生（n = 17；M _Age）= 15.73±0.35年）。通过根据响应准确性以及评估中的响应时间确定性能水平来测试诊断的有效性。通过调查精英运动员的诊断结果与其通过传球技能相关的真实比赛成绩数据之间的相关性，来检验外部有效性。Logistic回归分析显示，该诊断结果的性能水平之间进行区分（χ ²（2）= 20.39，p <0.001，Nagelkerke的[R ² = 0.60）。多元回归分析表明诊断结果与助攻之间呈正相关（F（2,10）= 4.82，p <0.05; R ²= 0.49）以及每场比赛的失误（F（2,10）= 5.23，p <0.05; R ² = 0.51）。但是，没有发现关于辅助周转率的关系。此外，在精英运动员的表现数据中区分了响应时间，但在表现水平之间却没有区别，而对于响应准确性而言，情况恰恰相反。结果证实了该评估的诊断性和外部有效性，并表明其可用于研究青少年篮球的决策技能。