不同年级大学生数学成绩影响因素统计分析  

Statistic Analysis on the Influential Factors of the Mathematics Scores of University Students in Different Grade

作　　者：肖启华[1] 张丽蕊[1] 石恩花 

机构地区：[1]上海海洋大学信息学院

出　　处：《数学教育学报》2015年第4期53-56,共4页Journal of Mathematics Education

基　　金：上海海洋大学首届人才计划“海燕计划”(B-5003-11-0056)

摘　　要：大学生学习成绩受个人、学校、家庭以及社会4个层面各种因素的影响，不同年级学生对同一种因素的感受有所不同．运用聚类分析和主成分分析法首先从预设的33个潜在成绩影响因素中提取出11个主要影响因子，分析表明个人、学校和社会层面的因素相互交错、渗透，而家庭层面的因素相对独立．其次，对采集到的不同年级大学生数学成绩样本数据运用回归分析法分析了各个因子对样本学生成绩的影响程度，分析表明：大一、大二样本学生数学成绩虽然分别有其个性影响因子，大一为焦虑与压力解决方式因子，大二为成绩被关注度因子和求知欲与专注度因子；但同时，两个年级样本学生数学成绩都受对所学专业就业前景关注度因子的影响．The factors related to four different perspectives- individual, university, social and family influence university students＇ achievement, and the same factor has different extent of influence on students with different grades. Firstly, 11 principal factors are extracted from the preset 33 factors using cluster analysis and principal components analysis. Analysis shows that factors related to individual, school and social intertwined and mutually permeable but family-related factors are relatively independent. Secondly, explored the influence degree of all principal factors on mathematics achievements of the samples using regression analysis. Results showed that although the principal factors affecting sample students＇ mathematics achievements are not exactly the same for freshman and sophomore. But the factor--the attention on specialty career prospects largely affects mathematics achievements both of freshman samples and sophomore samples.

关 键 词：数学成绩 影响因素 聚类分析 主成分分析 回归分析 

分 类 号：G40-03[文化科学—教育学原理]