DocumentCode
2435127
Title
Research of higher education input-output efficiency based on principal component analysis
Author
Lei, Chen ; Guicheng, Shen
Author_Institution
Inf. Sch., Beijing WuZi Univ., Beijing, China
fYear
2011
fDate
8-11 Jan. 2011
Firstpage
174
Lastpage
177
Abstract
A mathematical model was built to make analysis on higher education input-output efficiency. The model included eight input indicators and six output indicators of 31 areas in China. The principal component analysis method was used to reduce dimension of input indicators and output indicators. The multidimensional variables were simplified to one input principal component and one output principal component, which then were used to compare and analyze input-output efficiency of 31 areas. As a result, higher input usually leads to higher output but doesn´t lead to higher input-output efficiency. Effective operational mechanisms should be set up to ensure the close connection between input and output, and to improve input-output efficiency.
Keywords
further education; principal component analysis; higher education input-output efficiency; mathematical model; principal component analysis; Correlation; Covariance matrix; Data mining; Educational institutions; Mathematical model; Principal component analysis; higher education; input-output; principal comoponent;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-8383-9
Type
conf
DOI
10.1109/MSIE.2011.5707690
Filename
5707690
Link To Document