Research on Mental Health Status and Influence Factors of College Students Based on Multivariate Analysis and Bayesian Discrimination

DOI

10.2991/msie-13.2013.57How to use a DOI?

Keywords

multivariate analysis, bayesian discrimination, multivariate variance analysis, linear best solution, independent variables, highly correlated variables

Abstract

In recent years, with the accelerating pace of society, mental health problems of college students concerned by the communities widely. Due to the psychology of college students is not mature, campus accidents caused by psychological problems are increased every year. So, the research and analysis on the mental health of college students are very necessary. Firstly, this paper establishes college mental health variables analysis model using multivariate data analysis and puts forward the math regression model of independent variable and highly correlated variables. Then, it finds out the main factors that affect the mental health of college students by multivariate Bayesian discrimination, and puts forward the best solution of linear multivariate analysis of variance. Finally, it substitutes all the statistical data into the SPSS software and does the mathematical multivariate analysis, and gives the detailed calculation steps and results. It analyzes the results of curve which proved the reliability and stability of the analysis of psychological conditions and provides a reliable theoretical foundation for the college students' mental status and influencing factors.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lixin Deng
PY  - 2013/11
DA  - 2013/11
TI  - Research on Mental Health Status and Influence Factors of College Students Based on Multivariate Analysis and Bayesian Discrimination
BT  - Proceedings of the 2nd International Conference on Management Science and Industrial Engineering
PB  - Atlantis Press
SP  - 268
EP  - 271
SN  - 1951-6851
UR  - https://doi.org/10.2991/msie-13.2013.57
DO  - 10.2991/msie-13.2013.57
ID  - Deng2013/11
ER  -