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

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...

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Main Authors: Ren Xuebing, Xie Hua
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2023.2.01571
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author Ren Xuebing
Xie Hua
author_facet Ren Xuebing
Xie Hua
author_sort Ren Xuebing
collection DOAJ
description 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.
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spelling doaj.art-80c4d64d0fe9443289542ea0a74638482024-01-29T08:52:44ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01571Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysisRen Xuebing0Xie Hua11School of Civil and Environmental Engineering, Hunan University of Science and Engineering, Yongzhou, Hunan, 425199, China.2Yunnan Wanding Border Checkpoint, Wanding, Yunnan, 678600, China.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.https://doi.org/10.2478/amns.2023.2.01571multivariate statisticsfactor analysiscluster analysiskmolabor education in colleges and universities97u10
spellingShingle Ren Xuebing
Xie Hua
Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis
Applied Mathematics and Nonlinear Sciences
multivariate statistics
factor analysis
cluster analysis
kmo
labor education in colleges and universities
97u10
title Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis
title_full Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis
title_fullStr Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis
title_full_unstemmed Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis
title_short Connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis
title_sort connotation and feasibility path analysis of labor education in colleges and universities based on multivariate statistical analysis
topic multivariate statistics
factor analysis
cluster analysis
kmo
labor education in colleges and universities
97u10
url https://doi.org/10.2478/amns.2023.2.01571
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AT xiehua connotationandfeasibilitypathanalysisoflaboreducationincollegesanduniversitiesbasedonmultivariatestatisticalanalysis