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Decision-Making Skills in Youth Basketball Players: Diagnostic and External Validation of a Video-Based Assessment

机译:青年篮球运动员的决策技巧:基于视频评估的诊断和外部验证

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摘要

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; MAge = 16.01 ± 0.25 years) and students of a sports class (n = 17; MAge = 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.
机译:决策是篮球运动员的核心技能,打算单独擅自擅长并为其团队的成功做出贡献。对这些技能的评估在复杂的团队体育中特别具有挑战性。为了解决这一挑战,这项研究旨在概念概念为青年篮球的可靠和有效的视频决策评估。该研究样本包括德国U16国家队的青年篮球运动员(n = 17;法师= 16.01±0.25年),以及运动课的学生(n = 17;法师= 15.73±0.35岁)。通过根据响应精度以及评估中的响应时间确定性能水平来测试诊断有效性。通过调查精英运动员诊断结果与与传递技能相关的真实游戏性能数据之间的相关性进行了外部有效性。 Logistic回归分析显示,诊断结果区分性能水平(χ2(2)= 20.39,P <0.001,Nagelkerke的R2 = 0.60)。多元回归分析证明了诊断结果和辅助(F(2,10)= 4.82,P <0.05; R2 = 0.49)以及每场比赛的速率(F(2,10)= 5.23,P <0.05 ; r2 = 0.51)。但是,没有关于辅助周转率的关系。此外,响应时间在精英运动员的绩效数据中歧视,而不是在性能水平之间进行,而响应准确性相反是如此。结果证实了评估的诊断和外部有效性,并表明其适用于调查青少年篮球的决策技能。

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