摘要
将运动员的个人特征分为一般个人特征和职业个人特征,将社会支持网络分为实际支持网络、情感支持网络和社交支持网络。以运动员个人特征为自变量,以"网络规模与网络有无强弱关系"为因变量,分别建立研究假设和实证回归模型。结果发现:运动员的个人特征对其社会支持网络结构的影响并不显著,个人特征只影响3个子网络的某一个或两个,没有一个变量对3种支持网络同时产生影响。运动员的个人特征对情感支持网络的影响最大,对实际支持网络的影响最小。
The paper classifies an athlete' s personal features into a general personal feature and a professional one. And the social support network is divided into 3 sub-networks: the practical support network, the emotional network and the social interaction network. The research hypothesis and empirical regression model are established with the independent variables of the athlete' s personal features and the dependent variables of the strong relationship between network scale and the network". The results show that the effect of an athlete' personal features are not so obvious as other groups on the social support network structure and every variable can only influence one or two sub-networks; there's no variable to influence three subnetworks simultaneously. On the whole, an athletes' personal features can influence the emotional support network to the largest with the lowest effect on the practical support network.
出处
《上海体育学院学报》
CSSCI
北大核心
2014年第6期59-63,共5页
Journal of Shanghai University of Sport
基金
国家自然科学基金资助项目(61040029)
国家社会科学基金资助项目(13XTY003)
陕西省社会科学基金资助项目(2014N11)
关键词
运动员
个人特征
社会支持网络
回归分析
athlete
personal characteristics
social support network
regression analysis