Research on the Relationship Between College Students’ Gender Role Identity and Mental Health from the Perspective of Big Data Analysis
- DOI
- 10.2991/978-94-6463-034-3_33How to use a DOI?
- Keywords
- College student; Communication fear; Social support; Big data technology
- Abstract
This paper attempts to investigate the relationship between communication fear and social support of college students and use big data analysis to explore whether there is a significant gap in communication fear in gender and family origin. It also analyses whether there is a correlation between the dimensions of communication fear and social support and discusses the significance and role of big data analysis for mental health education. A survey of 182 college students was conducted using the Social Support Rating Scale and the Communication Fear Self-Rating Scale. A total of 182 questionnaires were distributed, of which 171 were valid questionnaires, and it was found that there were significant differences in communication fear between genders, no significant difference in communication fear between family background and whether it was an only child, and there was a negative correlation between communication fear and social support.
- 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
TY - CONF AU - Luming Feng AU - Huajie Sui AU - Yuexiang Liu PY - 2022 DA - 2022/12/23 TI - Research on the Relationship Between College Students’ Gender Role Identity and Mental Health from the Perspective of Big Data Analysis BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 323 EP - 331 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_33 DO - 10.2991/978-94-6463-034-3_33 ID - Feng2022 ER -