测试休闲限制协商模型:中国马拉松参与行为研究
Testing Leisure Constraint Negotiation Model: From Chinese Recreational Marathon Participants
投稿时间:2019-06-26  
DOI:
中文关键词:休闲  限制  协商  马拉松  参与行为
英文关键词:football  Fulda Movement Check  talent screening & selection  football recommendation score
基金项目:国家社会科学基金项目(17BTY055)
作者单位E-mail
周良君 广州体育学院 休闲体育与管理学院 cxy66662004@163.com 
项明强 广州体育学院 运动与健康学院 512920843@qq.com 
陈小英 广州体育学院 体育传媒学院  
钱亦舟 美国路易斯安那州立大学 运动生理学院  
陈国强 上海体育学院 媒介与文化研究中心  
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中文摘要:
      参照休闲限制理论,编制马拉松参与行为问卷,对全国301位马拉松参与者进行问卷调查,并对所获得的数据进行结构方程分析,测试休闲限制协商模型在马拉松运动中的应用。研究探讨了动力、限制、协商因素和马拉松参与行为之间的关系,发现了动力对马拉松参与行为的重要影响及两条不同的影响路径,结果接受感知-限制-减少修正模型。进一步分析发现:人际限制、结构性限制是阻碍马拉松参与行为的主要因素;马拉松跑者在遭遇限制因素时,会在技术、时间、经济方面采取协商策略。
英文摘要:
      Soccer is the No. 1 sport in the world and is widely accepted by the populace in Germany. Therefore, how to select football players scientifically and reasonably has become an important topic. This study completed by the Sports Training Science Team from the Department of Physical Education, Bayreuth University, Germany, aims to reveal the effectiveness of the mid-term prognosis of football talents in general motor tests and the football performance score obtained from the experiment. The motor diagnostic analysis has been conducted for talent screening and selection programs before, including gymnastics, skiing and tennis. However, compared with most other sports, the predictive value for soccer regarding such early testing is still uncertain. The subjects of this study were Grade 2 U9 children (N = 2 965) who participated in the Fulda Movement Check (FMC) in Germany. FMC is a screening method to test the basic athletic ability of the subjects. It consists of two anthropometric parameters and eight general items of the German Motor Test (GMT6-18) with the addition of a ball throw test. The test data was collected from all children who participated in the test in Fulda, Germany from 2011 to 2014, and the football competition performance of the children who chose football (N=316) up to the end of the 2016-2017 season (September 30, 2017)was recorded. The players were then assigned individually to four different competition levels on the basis of their performance. The prognostic validity of the motor tests was determined by using the methods of ANOVA, odds ratio, and a discriminant analysis. And the test results were compared with the football performance of the children in their U12~U15 ages. Finally, the prognostic relevance of the 9 general motor tests was confirmed.
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