诸变量对篮球专项运动员心境状态预测效能的回归分析

A Regression Analysis of the Basketball Player's Mood Sate from All Variables

运用回归分析统计方法,对216名(有效人数)篮球运动员进行相关问卷调查,以探测除自信心之外,与心境状态有显著统计学意义的预测变量.研究结果表明:①只有特质自信心和训练年限两个变量可以有效预测消极心境,只有特质自信心能有效预测积极心境;状态自信心、年龄、参加大赛的次数对积极心境和消极心境均无预测作用.②回归分析建立了回归方程模型、对消极心境的回归方程模型以及对积极心境的回归方程模型.

By resorting to the questionnaire survey of 216 basketball players and based on the statistical correlation analysis,this paper aims to detect the significant and statistical predictive variables besides self-confidence.The results show that：①Taken positive mood as the criterion,only trait self-confidence can predict basketball players’positive mood while state self-confidence,age and the times that they take part in important matches cannot.②Taken negative mood as the criterion,only trait self-confidence and training years can predict basketball players’ negative mood while state self-confidence,age and the times that they take part in important matches cannot.As a result,two regression equation models upon both negative mood and positive negative mood have been created