The Difficulty of Talent Identification: Inconsistency among Coaches through Skill-Based Assessment of Youth Hockey Players

Author:

Wiseman Alexandra C.1,Bracken Nathan1,Horton Sean1,Weir Patricia L.1

Affiliation:

1. Department of Kinesiology, University of Windsor, Windsor, ON, N9B 3P4, Canada

Abstract

Talent identification is the process of recognizing participants with the potential to excel in a particular sport. Coaches and scouts are responsible for making an accurate attempt at identifying talent to select athletes for a team roster. The current study used a multi-step approach to assess coaches' perceptions of talent within a local high school. Part 1 consisted of two steps: a) Eight hockey coaches ranked the skills they felt were important when selecting an athlete for a hockey team, b) video clips showcasing the identified skills found in part a) were developed from 13 high school hockey players. In Part 2 seven coaches and two scouts viewed the video clips and generated a list of the top five and bottom five players. Overall, the most frequently identified skills were skating, speed/agility, puck handling, positional play, and shooting. Ranking the players proved challenging with nine of the 13 players being placed in both the top and bottom groups of five. These findings outline the lack of agreement among the coaches/scouts in selecting players which highlights the difficulty in identifying talent. Despite the heterogeneity of the sample of players, even experienced coaches and scouts disagree about what constitutes a skilled hockey player.

Publisher

SAGE Publications

Subject

Social Sciences (miscellaneous)

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3