一、二、三区校际运动员学术聚类率和专业选择类型的分析

IF 0.6 Q3 EDUCATION & EDUCATIONAL RESEARCH
Steve Miller
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引用次数: 1

摘要

摘要尽管研究一直表明,一级运动员,尤其是那些从事创收运动的运动员,倾向于聚集在数量有限的学术专业中[Funtain,J.J.,&Finley,P。第(2009)条。大西洋海岸会议高年级足球运动员的学术专业:比较白人和少数族裔球员的学术聚类分析。校际田径问题杂志,2,1-13,Fountain,J.J.和Finley,P.S.(2011)。学术集群:对一级足球项目的纵向分析。校际田径问题杂志,4,24-41;Sanders,J.P.和Hildenbrand,K.(2010)。主要问题?比较视角下学生运动员学术专业的纵向分析。校际体育杂志,3121-233。https://doi.org/10.1123/jis.3.2.213],很少有关于二级和三级运动员学术选择的研究。这项研究比较了来自第一、第二和第三赛区院校的运动员的学术集群率和学术专业类型。通过体育系网站获得了3015名运动员的学术专业信息,他们参加了39所院校的8个不同的校际运动项目。结果表明,在第三赛区小组中,学术分组的频率较低。此外,卡方分析显示,根据比赛水平、性别和运动类型选择的专业类型存在显著差异。根据NCAA旨在促进学术成功的政策和NCAA 2015年的全面目标研究对结果进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An analysis of the rate of academic clustering and the types of majors chosen by divisions I, II, and III intercollegiate athletes
ABSTRACT While research has consistently shown that Division I athletes, especially those in revenue-producing sports, demonstrate a propensity to cluster into a limited number of academic majors [Fountain, J. J., & Finley, P. S. (2009). Academic majors of upperclassmen football players in the Atlantic coast Conference: An analysis of academic clustering comparing white and minority players. Journal of Issues in Intercollegiate Athletics, 2, 1–13, Fountain, J. J., & Finley, P. S. (2011). Academic clustering: A longitudinal analysis of a Division I football program. Journal of Issues in Intercollegiate Athletics, 4, 24–41; Sanders, J. P., & Hildenbrand, K. (2010). Major concerns? A longitudinal analysis of student-athletes’ academic majors in comparative perspective. Journal of Intercollegiate Sport, 3, 213–233. https://doi.org/10.1123/jis.3.2.213], there has been little research conducted pertaining to the academic choices of Division II and III athletes. This study compared the rate of academic clustering and the types of academic majors chosen by athletes from Divisions I, II, and III institutions. Academic majors of 3015 athletes participating in eight different intercollegiate sports across 39 institutions were obtained through athletics department websites. Results indicate that academic clustering was less frequent among Division III teams. Further, Chi-square analyses revealed significant differences with respect to the types of majors chosen based on level of competition, gender, and type of sport. Results are discussed in terms of NCAA policies designed to foster academic success and the NCAA's 2015 comprehensive GOALS study.
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