Validating DEA as a ranking tool: An application of DEA to assess performance in higher education

There is a general interest in ranking schemes applied to complex entities described by multiple attributes. Published rankings for universities are in great demand but are also highly controversial. We compare two classification and ranking schemes involving universities; one from a published report, ‘Top American Research Universities’ by the University of Florida's TheCenter and the other using DEA. Both approaches use the same data and model. We compare the two methods and discover important equivalences. We conclude that the critical aspect in classification and ranking is the model. This suggests that DEA is a suitable tool for these types of studies.

[1]  Joe Zhu,et al.  Multidimensional quality-of-life measure with an application to Fortune's best cities , 2001 .

[2]  Rajiv D. Banker,et al.  A balanced scorecard analysis of performance metrics , 2004, Eur. J. Oper. Res..

[3]  Boaz Golany,et al.  Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions , 1985 .

[4]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[5]  V. Barnett The Ordering of Multivariate Data , 1976 .

[6]  Raymond L. Raab,et al.  Efficiency and perceived quality of the nation's “top 25” National Universities and National Liberal Arts Colleges: An application of data envelopment analysis to higher education , 1994 .

[7]  Abraham Charnes,et al.  Some statistical and DEA evaluations of relative efficiencies of public and private institutions of higher learning , 1988 .

[8]  Joe Zhu,et al.  Multidimensional quality-of-life measure with an application to Fortune’s best cities , 2001 .

[9]  Cláudia S. Sarrico,et al.  Data envelopment analysis and university selection , 1997 .

[10]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[11]  Joe Zhu,et al.  Identifying ''best'' applicants in recruiting using data envelopment analysis , 2003 .

[12]  Regina Y. Liu On a Notion of Data Depth Based on Random Simplices , 1990 .

[13]  Chuan Yi Tang,et al.  A 2.|E|-Bit Distributed Algorithm for the Directed Euler Trail Problem , 1993, Inf. Process. Lett..

[14]  José H. Dulá,et al.  Performance evaluation based on multiple attributes with nonparametric frontiers , 1999 .

[15]  井尻 雄士 Creative and innovative approaches to the science of management , 1993 .