Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

<Previous Article In Volume
Next Article In Volume>

Research on the Influencing Factors and Countermeasures of the Formation of “Clique” in College Students’ Dormitory Based on Binary Logistic Analysis

Authors
Xiaoying Zhang1, *, Xing Tan1
1School of Management, Wuhan University of Technology, Wuhan, China
*Corresponding author. Email: 461052557@qq.com
Corresponding Author
Xiaoying Zhang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_105How to use a DOI?
Keywords
clique; interpersonal relationship; binary logistic analysis; SPSS
Abstract

Dealing with dormitory interpersonal relationships is a complex problem of college life. The emergence of “clique” phenomenon has become one of the most important reasons for the intensification of contradictions and the formation of lousy dormitory interpersonal relationships. To explore the cause and solutions to this phenomenon, this paper conducted a questionnaire survey on the students majoring in economics and management in colleges in Wuhan, established a binary logistic regression model, and obtained the influencing factors and degree of the “clique” phenomenon by using the stepwise regression method. The top three influencing factors are interests, personal living and learning. Finally, suggestions are given from two aspects of individuals and schools, which will help eliminate this phenomenon and promote the construction of harmonious dormitories for college students.

Copyright
© 2023 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-064-0_105
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_105How to use a DOI?
Copyright
© 2023 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

risenwbib
TY  - CONF
AU  - Xiaoying Zhang
AU  - Xing Tan
PY  - 2022
DA  - 2022/12/27
TI  - Research on the Influencing Factors and Countermeasures of the Formation of “Clique” in College Students’ Dormitory Based on Binary Logistic Analysis
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 1015
EP  - 1021
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_105
DO  - 10.2991/978-94-6463-064-0_105
ID  - Zhang2022
ER  -