International Journal of New Developments in Education, 2021, 3(2); doi: 10.25236/IJNDE.2021.030210.
Qinyi Zhang1, Yizhuo Qin2, Lingyu Qiu1
1School of Statistics and Information, University of International Business and Economics, Shanghai 201600
2School of Financial Management, Shanghai University of International Business and Economics, Shanghai 201600
In this paper, we propose a health diagnostician model to synthetically score national higher education systems. Firstly, we construct a Health Diagnostician Model for Higher Education, using Entropy Weight Method and Factor Analysis to screen 57 indicators and retain 7 representative indicators. We also introduce utility functions U and risk coefficients R to assess the health status quo of higher education system, where the input variables of the model are the "Health Portraits" composed of 57 indicators from each country, and output variables are health scores. Secondly, we extracted the "Health Portraits" from the World Bank Education Database for 31 countries for the last 10 years, and used the utility score and ranking to verify the validity of the model, we obtaining an average score of 0.166, The United Kingdom, United States Canada ranked in the top three. Mexico, with a score of 0.123, was selected for further study.
Higher education, Health Diagnostician, Utility, Entropy method, Factor Analysis
Qinyi Zhang, Yizhuo Qin, Lingyu Qiu. Touch the Pulse of Higher Education System: Using Health Diagnosis. International Journal of New Developments in Education (2021) Vol. 3, Issue 2: 44-49. https://doi.org/10.25236/IJNDE.2021.030210.
 World Bank.https://databank.shihang.org/source/education-statistics. Accessed 5. Feb., 2021
 Zvi Bodie, Alex Kane and Alan J. Marcus. Investment, 12th ed.; McGraw-Hill Education: 2 Penn Plaza, New York, the U.S., 2021; pp.161.