<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Labor education in colleges and universities in the new era is an important prerequisite for the comprehensive implementation of the fundamental task of establishing moral education and the comprehensive development of students. This paper mines the connotation of labor education based on the method of multivariate statistics and constructs a factor analysis model of the connotation of labor education by using the method of factor analysis and cluster analysis combined with the principle of dimension selection. The correlation coefficient matrix is utilized to depict the relevant variables of labor education and to assess the correlation between these original variables and the factors. KMO and Bartlett’s spherical test are used to test the reasonableness of connotation factors in labor education. The results show that the cumulative contribution rate of the first 4 factors of the connotation of labor education, i.e., labor concept, labor ability, labor spirit, and labor habit, are all 70.575%, and the variance contribution rate of the first component before rotation is 44.231%, which accounts for a large part of the total variance contribution rate of the 4 principal components. It indicates that the first four factors of labor education can be considered the main dimensions of education. The research in this paper can promote the development of labor education in colleges and universities to a certain extent and provide a new reference for labor education.</p>
</abstract>

Labor education in colleges and universities in the new era is an important prerequisite for the comprehensive implementation of the fundamental task of establishing moral education and the comprehensive development of students. This paper mines the connotation of labor education based on the method of multivariate statistics and constructs a factor analysis model of the connotation of labor education by using the method of factor analysis and cluster analysis combined with the principle of dimension selection. The correlation coefficient matrix is utilized to depict the relevant variables of labor education and to assess the correlation between these original variables and the factors. KMO and Bartlett’s spherical test are used to test the reasonableness of connotation factors in labor education. The results show that the cumulative contribution rate of the first 4 factors of the connotation of labor education, i.e., labor concept, labor ability, labor spirit, and labor habit, are all 70.575%, and the variance contribution rate of the first component before rotation is 44.231%, which accounts for a large part of the total variance contribution rate of the 4 principal components. It indicates that the first four factors of labor education can be considered the main dimensions of education. The research in this paper can promote the development of labor education in colleges and universities to a certain extent and provide a new reference for labor education.

Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis

Hunan University of Science and Engineering

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Labor education in colleges and universities in the new era is an important prerequisite for the comprehensive implementation of the fundamental task of...

Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis

Publié en ligne: 20 déc. 2023

Pages: -

Reçu: 15 janv. 2023

Accepté: 30 juin 2023

DOI: https://doi.org/10.2478/amns.2023.2.01571

Mots clés
Multivariate statistics, Factor analysis, Cluster analysis, KMO, Labor education in colleges and universities

© 2023 Xuebing Ren et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis

Publié en ligne: 20 déc. 2023

Pages: -

Reçu: 15 janv. 2023

Accepté: 30 juin 2023

DOI: https://doi.org/10.2478/amns.2023.2.01571

Mots clésMultivariate statistics, Factor analysis, Cluster analysis, KMO, Labor education in colleges and universities

© 2023 Xuebing Ren et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Multivariate statistics, Factor analysis, Cluster analysis, KMO, Labor education in colleges and universities