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 :
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