Survey and Regression Analysis of National Defense Education Satisfaction of College Students in Chongqing Municipality
- DOI
- 10.2991/978-94-6463-776-2_58How to use a DOI?
- Keywords
- College students; Logistic Regression Analysis; Latent Variables; National Defense Education Satisfaction
- Abstract
This thesis focuses on the national defense education of college students in Chongqing Municipality, collects data through questionnaires, conducts descriptive analyses of the respondents, sets up five latent variables affecting college students’ satisfaction with national defense education--educational pathway, theoretical content, military training programs, teachers and equipment, and cognitive attitudes, and then analyzes them by using the logistic regression model. After that, the logistic regression model was used to analyze the data and put forward targeted suggestions to improve the satisfaction of college students’ national defense education in three dimensions: individual level, university and college, and national government, so as to provide data support and decision-making basis for the improvement of college students’ national defense education in Chongqing Municipality.
- Copyright
- © 2025 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.
Cite this article
TY - CONF AU - Junhao Zhu AU - Yiding Liu AU - Jiaxu Cao AU - Min Yuan PY - 2025 DA - 2025/07/04 TI - Survey and Regression Analysis of National Defense Education Satisfaction of College Students in Chongqing Municipality BT - Proceedings of the 2025 International Conference on Education Reform, Ideology and Politics (ERIP 2025) PB - Atlantis Press SP - 451 EP - 461 SN - 2352-5398 UR - https://doi.org/10.2991/978-94-6463-776-2_58 DO - 10.2991/978-94-6463-776-2_58 ID - Zhu2025 ER -