摘要
本文以北方工业大学2008-2015年理工类本科生成功考研学生的大数据为调查研究对象,利用STATA软件作为分析工具,对样本数据进行相关性和回归分析,并尝试建立回归模型,分析成功考研学生的群体性特征。研究结果表明,成功考研学生的性别、生源地、大学绩点成绩、首次英语四级成绩与其考研院校类别之间存在显著相关性,并对其影响也存在不同的强弱关系。
In this paper, we take the North China University of Technology, 2008"--2015 years of science and engineering students' big data as the research object. During research, we use STATA as analytical tool, perform correlation and regression analysis, try to establish a regression model and analyze the group characteristics of successful postgraduate students. The results show that there is a correlation between the students~ gender, place of origin, college grades, the first CET4 score, and category of postgraduate entrance examination, and there is different strong and weak influence relationship.
出处
《北方工业大学学报》
2016年第2期81-86,共6页
Journal of North China University of Technology
基金
2016年度首都大学生思想政治教育支持课题项目"基于大数据的学生学习动机的激发策略研究"
关键词
考研
大数据
STATA
回归模型
postgraduate entrance examination
Big data
STATA
regression model