Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)

Research and Application of Graduate Satisfaction Based on SEM -- Take USTB as An Example

Authors
Tian-xin Zong, Na Li, Zhi-gang Zhang
Corresponding Author
Tian-xin Zong
Available Online July 2019.
DOI
https://doi.org/10.2991/masta-19.2019.22How to use a DOI?
Keywords
SEM, Customer satisfaction, PLS
Abstract

Based on the structural equation model and the characteristics of University Of Science and Technology Beijing(USTB), a graduate satisfaction evaluation model is constructed by using PLS estimation algorithm, and the fitting degree of the model is tested. It is found that the perceived quality has a great influence on the graduate satisfaction. It has a certain reference value for the improvement of school teaching and the application of structural equation model in the field of teaching.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
Series
Advances in Intelligent Systems Research
Publication Date
July 2019
ISBN
978-94-6252-761-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/masta-19.2019.22How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Tian-xin Zong
AU  - Na Li
AU  - Zhi-gang Zhang
PY  - 2019/07
DA  - 2019/07
TI  - Research and Application of Graduate Satisfaction Based on SEM -- Take USTB as An Example
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 132
EP  - 136
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.22
DO  - https://doi.org/10.2991/masta-19.2019.22
ID  - Zong2019/07
ER  -