【摘要】 针对校园霸凌事件的发生进行研究。就不同性别与不同年龄两种情况下,分析各相关指标间的差异与性格特征。并以9岁组的性格特征数据为例,利用主成分分析方法对指标数据进行降维,用主成分数据建立9岁组生命正向的logistic回归模型。最后给出各年龄段各性格特征的预测模型,为校园霸凌事件的有效抑制提供统计决策。更多还原

【Abstract】 For the occurrence of campus bullying. In different gender and age, the differences and character characteristics of the relevant indicators were analyzed. Taking the personality data of 9-year-old group as an example, the principal component analysis method was used to reduce the dimension of the index data, and the principal component data was used to establish a life positive logistic regression model for 9-year-old group. Finally, the prediction models of personality characteristics of different age groups are given to provide statistical decision-making for the effective suppression of campus bullying events.更多还原