A development model to guide the recruiting of female shot putters at the NCAA Division I Championship level

IF 0.6 Q4 HOSPITALITY, LEISURE, SPORT & TOURISM Journal of Sports Analytics Pub Date : 2019-01-01 DOI:10.3233/JSA-180275
D. Babbitt
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引用次数: 1

Abstract

Given the high stakes nature of NCAA athletics, it has become increasingly important for coaches to recruit athletes who can compete and make substantive contributions to a team’s success. The purpose of this study was to develop an analytic to predict the time it would take a high school female shot putter to contribute a score at the NCAA Championship meet based on her personal best high school performance. Performance data from high school and college performances were collected from NCAA women’s shot putters, who completed their eligibility from 2012–2017 (N = 63), and graphed to construct a trend line which plotted the top shot put performance of each individual from high school (y) against their best result from each of four or five years in collegiate competition (x). Strong correlations were found between high school and collegiate performance for the first three years of collegiate competition with statistical significance achieved at p < 0.0001. The correlation progressively decreased with each year of collegiate competition with years four and five of collegiate eligibility demonstrating a diminished statistical significance at p < 0.05. Minimum high school performances were calculated in order to produce a statistically significant result that could score for each place at the NCAA meet for a given amount of years competing in NCAA Division I track and field. The results provide track and field coaches with the first analytical model that can assist in determining a high school recruit’s ability to contribute valuable points at the most important competitions. 6
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指导NCAA一级锦标赛女子铅球运动员招募的发展模式
鉴于NCAA运动的高风险性质,对教练来说,招募能够参加比赛并为球队的成功做出实质性贡献的运动员变得越来越重要。本研究的目的是建立一种分析方法来预测高中女铅球运动员在NCAA冠军赛上以个人高中最好成绩为基础贡献一分所需的时间。高中和大学的成绩数据来自NCAA女子铅球运动员,他们在2012-2017年完成了资格考试(N = 63),并绘制了一条趋势线,绘制了每个人高中时期的顶尖铅球成绩(y)与他们四年或五年大学比赛中的最佳成绩(x)。在大学比赛的前三年,高中和大学的成绩之间存在很强的相关性,p < 0.0001,具有统计学意义。与第四年和第五年的大学资格相比,每年的大学比赛的相关性逐渐降低,p < 0.05,统计学意义减弱。最低高中成绩的计算是为了产生一个具有统计学意义的结果,可以在NCAA一级田径比赛的给定年份中为NCAA会议的每个位置得分。研究结果为田径教练提供了第一个分析模型,可以帮助他们确定高中新兵在最重要的比赛中贡献有价值分数的能力。6
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