Survey Analysis of University Students’ Satisfaction with Their Majors

Tong Yu (), Xi Huang (), Yichuang Ke () and Yanxiao Guo ()
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Tong Yu: Zhuhai College of Science and Technology, School of Statistics and Data Science
Xi Huang: Zhuhai College of Science and Technology, School of Statistics and Data Science
Yichuang Ke: Zhuhai College of Science and Technology, School of Statistics and Data Science
Yanxiao Guo: Zhuhai College of Science and Technology, School of Statistics and Data Science

A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 1457-1467 from Springer

Abstract: Abstract The level of college students’ professional satisfaction will have a very important impact on their future study and employment, while the student satisfaction survey has a unique reference value to view the teaching quality and service level of the school from the student’s perspective. In this paper, we use factor analysis, Spearman correlation analysis independent sample t-test one-way ANOVA method and ordered logistic regression model to process and analyse the data and study the degree of professional satisfaction of college students from four dimensions. It is found that gender, grade, and the main factors of college students’ choosing majors have a significant effect on college students’ major satisfaction.

Keywords: professional satisfaction; university students; ordered logistic regression model; correlation analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-570-6_147

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