Quality Evaluation of World's Top 40 Universities Based on Multivariate Analysis

DOI

10.2991/icefs-17.2017.43How to use a DOI?

Keywords

University Quality, Cluster Analysis, Discriminant Analysis, Typical Correlation Analysis

Abstract

University comprehensive quality evaluation is an important method to evaluate the quality of World University. Scoring on a university via the study and research of all aspects of a university , is an ideal way to show the whole picture of a university, that is, its quality level is built on the comprehensive evaluation of all aspects. Sampling on 40 world universities' quality evaluation data in 2005, with six indicators as variables, including Score on Alumni (equivalent to the number of Nobel prize and the Fields prize awarded alumni), Score on Award(equivalent to the number of Nobel prize and the Fields prize for teachers), Score on HiCi (The number of faculty who have been cited the highest in each subject area), Score on N&S (The number of papers published in the magazine), Score on SCI (Number of papers indexed by the Science Citation Index and the Social Science Citation Index), and Score on Size (the teachers' mean value of above five indicators), this study takes use of SAS statistical software for cluster analysis. Based on its classification result, this software is used again to carry out discriminant analysis for deeper evaluation of the comprehensive quality of these universities and generate typical correlation analysis to evaluate the reasonability of the indicators.

Copyright

© 2017, 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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TY  - CONF
AU  - Mengran Yuan
PY  - 2017/01
DA  - 2017/01
TI  - Quality Evaluation of World's Top 40 Universities Based on Multivariate Analysis
BT  - Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 349
EP  - 360
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.43
DO  - 10.2991/icefs-17.2017.43
ID  - Yuan2017/01
ER  -