Linear Regression Analysis of Contributing Factors to Leadership Development of Chinese Adolescents
- DOI
- 10.2991/978-94-6463-192-0_31How to use a DOI?
- Keywords
- Leadership; adolescent; leadership development; parental rearing; linear regression
- Abstract
Adolescence is the most crucial and optimal stage to develop leadership. Adolescent leadership development refers to the various forms of practices or events initiated to help increase the adolescents’ awareness of team-leading, enhance their leadership knowhow and sharpen their leadership skills. This paper, based on a review of studies on the models, ways and specific content of adolescent leadership development globally, analyzes the contributors to adolescent leadership development in China by three linear regression models, and aims to provide some reference for further research on developing leadership among adolescents in China.This study uses survey methods for data collection and R studio for regression analysis. The results show that mother’s and father’s emotional warmth positively predicts adolescent leadership respectively.
- 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 - Ruoran Wang AU - Yong Wang AU - Lili Song AU - Xianran Feng AU - Lihao Li AU - Qian Meng AU - Hong Chen PY - 2023 DA - 2023/07/04 TI - Linear Regression Analysis of Contributing Factors to Leadership Development of Chinese Adolescents BT - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023) PB - Atlantis Press SP - 219 EP - 227 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-192-0_31 DO - 10.2991/978-94-6463-192-0_31 ID - Wang2023 ER -