Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

October 28, 2023


Pages


DOI

Article

Study on the optimization of college students’ emotion management strategies based on multivariate statistical analysis


Authors

Shanshan He Affiliation:
School of Foreign Language, Xinyang University, Xinyang, Henan, 464000, China.
and Shitao Sheng Affiliation:
Human Resources Department, Xinyang University, Xinyang, Henan, 464000, China.


Abstract

In this paper, a factor analysis of emotion management competencies was conducted using multivariate statistical analysis for the emotion management strategies of college students. Five competencies, such as emotion regulation ability and seeking external support, were selected as exploratory factors, and KMO and Bartlett's sphericity test verified their feasibility. After the factors were identified, the correlation and influence of physical exercise on college students’ emotion management ability were investigated based on multiple regression methods, and optimization strategies were proposed in turn. In terms of exercise time, college students’ emotion management ability was significantly correlated with exercise time in general, and the correlation coefficient was 0.885. The intensity and frequency of physical exercise showed a linear relationship with college students’ emotion management ability, and the coefficients of the standardized regression equation were 0.325 and 0.246, in turn.


Keywords

Factor analysis, Multiple regression analysis, KMO test, Sphericity test, Sentiment management, 97Q70


Citation

He, S. & Sheng, S. (2023). Study on the optimization of college students’ emotion management strategies based on multivariate statistical analysis. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00849
1 Total citations
0.26 FWCI
1 Recent citations
(2 years)
16 References
Open Access Yes
View full metrics

Published by: Engineering Journals

Engineering Journals Logo