Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 6, 2023


Pages


DOI

Article

The Application of Statistical Analysis Method in the Effectiveness Evaluation of Ideological and Political Reform in the Course of Human Resource Management

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Authors

Hui Meng Affiliation:
Guizhou University of Commerce, Guiyang, Guizhou, 550014, China.
and Ling He Affiliation:
Guizhou University of Commerce, Guiyang, Guizhou, 550014, China.


Abstract

Based on the student-oriented teaching practice in the ideological and political reform of the Human Resource Management course, this paper established a teaching evaluation index system with four dimensions: teaching context, teaching input, teaching process and teaching product. Kehlenbach alpha coefficient and split-half reliability were utilized to test the reliability of indicators, and expert validity and content validity were adopted to examine the validity of indicators. Multivariate statistical analysis was used for principal component analysis and factor load matrix estimation to construct a comprehensive evaluation based on principal component analysis and an educational evaluation based on the factor analysis method.


Keywords

Curriculum ideology and politics, Teaching evaluation, Validity test, Principal component analysis, Factor analysis, 97D60


Citation

Meng, H. & He, L. (2023). The application of statistical analysis method in the effectiveness evaluation of ideological and political reform in the course of human resource management. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00990

Published by: Engineering Journals

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