Survey Analysis of University Students’ Satisfaction with Their Majors

DOI

10.2991/978-94-6463-570-6_147How to use a DOI?

Keywords

professional satisfaction; university students; ordered logistic regression model; correlation analysis

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.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Tong Yu
AU  - Xi Huang
AU  - Yichuang Ke
AU  - Yanxiao Guo
PY  - 2024
DA  - 2024/11/22
TI  - Survey Analysis of University Students’ Satisfaction with Their Majors
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 1457
EP  - 1467
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_147
DO  - 10.2991/978-94-6463-570-6_147
ID  - Yu2024
ER  -