工科大学数学成绩与过往数学学习情况的有序逻辑回归和因子分析

Ordered Logistic Regression and Factor Analysis of the Engineering College Students’ Past Learning Performance on Their Mathematics Performance

通过对山东理工大学在校学生发放调查问卷,收集学生过往成绩及平时学习情况的相关数据,将收集信息数据化处理后,把数据录入Spss进行因子分析。将收集数据中第二学期高数成绩划分为优秀、良好、不及格三个层次,通过有序逻辑回归分析建立模型,通过分析结果确定各变量对第二学期高数成绩的影响。

Through the questionnaire distributed to the students in Shandong University of Technology, we collected the relevant data of the students’ past achievements and their daily learning. After the data was processed, the data were recorded in spss for factor analysis. The second semester high scores were classified into three levels: excellent, good and failing. The MODEL was established by logistic regression analysis, and the influence of each variable on the second semester high scores was determined.