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
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/).

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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
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  - 10.2991/masta-19.2019.22
ID  - Zong2019/07
ER  -