Pienaar A E, Spamer M J, Steyn H S
Department of Human Movement Science, Potchefstroom University for Christian Higher Education, South Africa.
J Sports Sci. 1998 Nov;16(8):691-9. doi: 10.1080/026404198366326.
The re-entry of South Africa into the international sporting arena and the resultant need for the identification and development of talent, especially among formerly deprived groups of people, provided the incentive for this study. Its aim was to identify the physical, motor and anthropometric variables that will enable coaches to identify 10-year-old boys, based on their abilities, who could become successful rugby players. Altogether, 173 ten-year-old boys with no rugby experience from a cross-section of the population were selected at random and subjected to 14 physical and motor tests and 14 anthropometric measurements. From 22 schools which participated in the Western Transvaal primary schools under-11 rugby league, the three top teams (n = 45 individuals) were selected and also tested. The results from these three teams were used as the criteria for rugby talent among 10-year-old boys. To establish the best predictors of talent, a stepwise discriminant analysis was conducted: this indicated eight variables (four motor and four anthropometric) that discriminated maximally between the talented and the rest of the players of this age. With classification functions based on these eight variables, 93.8% of all the subjects were classified correctly, indicating good validity. A canonical analysis, based on the selected variables, was then conducted on all the under-11 teams that played in the league in the region (n = 330), and they were ranked according to the scores of the first canonical variable from the most to the least talented. By comparing these results with the players who were chosen for the region's primary schools team, a success rate of 88% in prediction of talent was established. We conclude that this is a successful and practical method to aid the teacher and the coach in selecting and developing talent among 10-year-old rugby players in South Africa.
南非重新进入国际体育舞台,由此产生了识别和培养人才的需求,尤其是在以前被剥夺机会的人群中,这为这项研究提供了动力。其目的是确定身体、运动和人体测量学变量,使教练能够根据10岁男孩的能力识别出有可能成为成功橄榄球运动员的孩子。总共从不同背景的人群中随机挑选了173名没有橄榄球经验的10岁男孩,并对他们进行了14项身体和运动测试以及14项人体测量。从参加西德兰士瓦省小学11岁以下橄榄球联赛的22所学校中,挑选出了三支顶尖球队(共45名队员)并进行了测试。这三支球队的测试结果被用作10岁男孩中橄榄球天赋的评判标准。为了确定最佳的天赋预测指标,进行了逐步判别分析:结果表明有八个变量(四个运动变量和四个人体测量变量)能够最大程度地区分有天赋的球员和这个年龄段的其他球员。基于这八个变量的分类函数能够正确分类所有受试者中的93.8%,表明有效性良好。然后,基于所选变量对该地区参加联赛的所有11岁以下球队(共330名队员)进行了典型相关分析,并根据第一个典型变量的得分从天赋最高到最低对他们进行了排名。通过将这些结果与被选入该地区小学球队的球员进行比较,天赋预测的成功率达到了88%。我们得出结论,这是一种成功且实用的方法,有助于教师和教练在南非10岁的橄榄球运动员中选拔和培养人才。