Abstract
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.
Similar content being viewed by others
References
Adolphson, D.L., G.C. Cornia, and L.C. Walters. (1990). “A Unified Framework for Classifying DEA Models.” In H.E. Bradley (ed.), Operational Research ’90: Selected Papers from the Twelfth IFORS International Conference on Operational Research, Athens, Greece, 25 June 1990, PP. 647–657. Pergamon Press (1991).
Ahn, T., V. Arnold, A. Charnes, and W.W. Cooper. (1989). “DEA and Ratio Efficiency Analyses for Public Institutions of Higher Learning in Texas.” Research in Governmental and Nonprofit Accounting, 5, 165–185.
Ahn, T., A. Charnes, and W.W. Cooper. (1988). “Some Statistical and DEA Evaluations of Relative Efficiencies of Public and Private Institutions of Public and Private Institutions of Higher Learning.” Socio-Economic Planning Sciences, 22(6), 259–269.
Ahn, T. and L.M. Seiford. (1993). “Sensitivity of DEA to Models and Variable Sets in a Hypothesis Test Setting: The Efficiency of University Operations.” Creative and Innovative Approaches to the Science of Management, Quorum Books: Westport, Connecticut, PP. 191–208.
Banker, R.D., H. Chang, S.N. Janakiraman, and C. Konstans. (2004). “A Balanced Scorecard Analysis of Performance Metrics.” European Journal of Operational Research, 154(2), 423–436.
Banker, R.D., A. Charnes, and W.W. Cooper. (1984). “Some Models for Estimating Technological and Scale Inefficiencies in Data Envelopment Analysis.” Management Science, 30(9), 1078–1092.
Barnett, V. (1976). “The Ordering of Multivariate Data.” J. Royal Statistical Soc. A, 139(Part 3), 318–344.
Barr, R.S., M.L. Durchholz, and L. Seiford. (2000). “Peeling the DEA Onion: Layering and Rank-Ordering DMUs Using Tiered DEA.” Southern Methodist University Technical Report, USA.
Breu, T.M. and R.L. Raab. (1994). “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.” Socio-Economic Planning Sciences, 28(1), 35–45.
Caporaletti, L.E., J. H. Dulá, and N. K. Womer. (1999). Performance Evaluation Based on Multiple Attributes with Nonparametric Frontiers. Omega, 27, 637–645.
Charnes, A., W.W. Cooper, B. Golany, L.M. Seiford, and J. Stutz. (1985). “Foundations of Data Envelopment Analysis for Pareto-Koopmans Efficient Empirical Production Functions.” Journal of Econometrics, 30, 91–107.
Charnes, A., W.W. Cooper, and E. Rhodes. (1978). “Measuring the Efficiency of Decision Making Units.” European Journal of Operational Research, 2(6), 429–444.
Johnson, S.A. and J. Zhu. (2003). “Identifying ‘Best’ Applicants in Recruiting Using Data Envelopment Analysis.” Socio-Economic Planning Sciences, 37(2), 125–139.
Liu, R. (1990). “On a Notion of Data Depth Based on Random Simplices.” The Annals of Statistics, 18(1), 405–414.
Lombardi, J., E.D. Capaldi, D.D. Craig, L.N. Collis, D.S. Gater, and D.A. Roak. (2002). “The Top American Research Universities.” TheCenter's Annual Report, www.thecenter.ufl.edu.
Sarrico, C.S., S.M. Hogan, R.G. Dyson, and A.D. Athanassopoulos. (1997). “Data Envelopment Analysis and University Selection.” Journal of the Operational Research Society, 48(12), 1163–1177.
Zhu, J. (2001). Multidimensional Quality-of-Life Measure with an Application to Fortune's Best Cities. Socio-Economic Planning Sciences, 35(4), 263–284.
Zhu, J. DEAFrontier, www.deafrontier.com.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Bougnol, ML., Dulá, J.H. Validating DEA as a ranking tool: An application of DEA to assess performance in higher education. Ann Oper Res 145, 339–365 (2006). https://doi.org/10.1007/s10479-006-0039-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10479-006-0039-2