基于因子分析和有序逻辑回归的大学生数学成绩与平时学习情况的相关性分析

Relevance Analysis of Mathematics Achievement of College Students and Their Learning Situation in Peacetime Based on Factor Analysis and Ordered Logic Regression

摘要: 对山东理工大学经济学院的300余名学生进行了问卷调查，问卷的设计主要从四个总的方面展开：课前预习情况、课堂学习情况、课后学习与作业情况以及考前复习情况，最终得到了259个有效数据。对问卷每个选项赋予数值，导入SPSS进行因子分析，然后将期末成绩分为优秀、良好、及格、不及格四个层次进行有序逻辑回归分析，对大学生数学成绩与学生平时学习情况之间的相关性进行分析研究。

Abstract: We conducted a questionnaire survey on more than 300 students from the School of Economics, Shandong University of Technology. The questionnaire was designed from four general aspects: pre-class preparation, classroom learning, after-class learning and homework, and pre-examination review. Finally, 259 valid data were obtained. Each option of the questionnaire was assigned a number of values, and factor analysis was carried out by introducing SPSS. Then the final results were divided into four levels: excellent, good, pass and fail. The correlation between students’ math scores and their normal learning situation was analyzed and studied by orderly logistic regression analysis.