Using Principal Component Analysis to Explore the Influence of Civic Education on Students’ Mental Health in Colleges and Universities

Abstract

Abstract This paper first explored the implementation steps of principal component analysis, standardized the raw data, and calculated the correlation matrix, eigenvalues and variance contribution ratio. The principal components were identified, the principal component factors were thoroughly evaluated, and the comprehensive scores of the principal components were calculated. Then, the model of this paper was examined, and the principal component factors were extracted using the algorithm. Finally, the analysis of the correlation between Civic Education and Mental Health, as well as the predictive effect of Curriculum Civic Education on the level of cultural self-confidence and mental health were analyzed. The results show that the correlation coefficient between curriculum civic politics and happiness is 7.45. Curriculum civic politics is significantly positively correlated with all positive mental health indicators, r between 0.3-0.4, p<0.01, and with negative mental health indicators, r between −0.4-0.37, p<0.01. This study is important for the active promotion of curriculum civic politics and the enhancement of parenting effectiveness. Promoting the development of college students’ mental health is of great significance.