Mann David L, Dehghansai Nima, Baker Joseph
Department of Human Movement Sciences, Faculty of Behaviour and Movement Sciences, Vrije Universiteit Amsterdam, IPC Research and Development Centre for the Classification of Athletes with Vision Impairment, Amsterdam Movement Sciences & Institute Brain and Behavior Amsterdam (IBBA), van der Boechorststraat 9, 1081BT Amsterdam, The Netherlands.
School of Kinesiology and Health Science, York University, 4700 Keele St., M3J 1P3 Toronto, Ontario, Canada.
Curr Opin Psychol. 2017 Aug;16:128-133. doi: 10.1016/j.copsyc.2017.04.016. Epub 2017 Apr 26.
The incentives for sport organizations to identify talented athletes from a young age continue to grow, yet effective talent identification remains a challenging task. This opinion paper examines recent advances in talent identification, focusing in particular on the emergence of new approaches that may offer promise to identify talent (e.g., small-sided games, genetic testing, and advanced statistical analyses). We appraise new multi-disciplinary and large-scale population studies of talent identification, provide a consideration of the most recent psychological predictors of performance, examine the emergence of new approaches that strive to diminish biases in talent identification, and look at the rise in interest in talent identification in Paralympic sport.
体育组织从年轻时就识别有天赋运动员的动机持续增强，但有效的人才识别仍然是一项具有挑战性的任务。这篇观点论文审视了人才识别方面的最新进展，尤其关注可能为人才识别带来希望的新方法的出现（例如小型比赛、基因检测和先进的统计分析）。我们评估了关于人才识别的新的多学科和大规模人群研究，考虑了最近的表现心理预测因素，审视了旨在减少人才识别中偏见的新方法的出现，并探讨了残奥会体育中对人才识别兴趣的上升。
