Proceedings of the 5th International Conference on New Media Development and Modernised Education (NMDME 2025)

Analysis on the Quality of Postgraduate Training for Master's Degree in Sports Based on the Amos Structural Equation Model

Authors
Xueqin Wang1, Shiqiang Chen1, *
1School of Physical Education and Health, Linyi University, Linyi, Shandong, 27600, China
*Corresponding author. Email: wxq21tgirl@163.com
Corresponding Author
Shiqiang Chen
Available Online 29 December 2025.
DOI
10.2991/978-2-38476-523-2_37How to use a DOI?
Keywords
Amos model; sports; graduate training; evaluation model
Abstract

Exploring the training quality evaluation model for sports master’s degree graduate students through structural equation modeling. Methods: Using the sports master's professional degree postgraduate training quality evaluation index system scale, a total of 500 questionnaires were distributed, and 436 valid questionnaires were recovered. The data were analyzed through AMOS28.0 (formula:  η = B η + Γ ξ + ζ ) and high-order factor analysis (formula:  ω = η i / i = 1 8 η i θ i = α i i = 1 k α i ). Results: (1) The RMSEA value of the evaluation scale is 0.071, and the estimated value of CMIN/DF is 2.386. The overall fit of the model is good, and the adaptability is also good. The Cronbach's coefficient of each dimension of the scale is greater than 0.7, and the reliability of the scale is good. (2) A quality evaluation model for the training quality of postgraduate students with a master's degree in physical education was constructed, which consists of six factors, including responsibility and ethics, professionalism and theory, practice and skills, resources and teachers, employment and career, development and satisfaction. (3) The model application research investigated 5 universities and concluded that the highest comprehensive score for the postgraduate training quality of the professional master's degree in physical education in Shandong Province in 2024 is University D, and the lowest comprehensive score is University B. Conclusion: The quality evaluation model for postgraduate training for the master's degree in physical education is a product of the digital age and provides a new method for the quality evaluation of postgraduate training. It is hoped that the improved model can be applied to more talent training evaluations.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 5th International Conference on New Media Development and Modernised Education (NMDME 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 December 2025
ISBN
978-2-38476-523-2
ISSN
2352-5398
DOI
10.2991/978-2-38476-523-2_37How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xueqin Wang
AU  - Shiqiang Chen
PY  - 2025
DA  - 2025/12/29
TI  - Analysis on the Quality of Postgraduate Training for Master's Degree in Sports Based on the Amos Structural Equation Model
BT  - Proceedings of the 5th International Conference on New Media Development and Modernised Education (NMDME 2025)
PB  - Atlantis Press
SP  - 352
EP  - 362
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-523-2_37
DO  - 10.2991/978-2-38476-523-2_37
ID  - Wang2025
ER  -