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Ranking and Clustering Australian University Research Performance, 1998-2002

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Author Info
Valadkhani, Abbas () (University of Wollongong)
Worthington, Andrew () (University of Wollongong)
Abstract

This paper clusters and ranks the research performance of thirty-seven Australian universities over the period 1998-2002. Research performance is measured according to audited numbers of PhD completions, publications and grants (in accordance with rules established by the Department of Education, Science and Training) and analysed in both total and per academic staff terms. Hierarchical cluster analysis supports a binary division between fifteen higher and twenty-two lower-performing universities, with the specification in per academic staff terms identifying the self-designated research intensive "Group of Eight" (Go8) universities, plus several others in the better-performing group. Factor analysis indicates that the top-three research performers are the Universities of Melbourne, Sydney and Queensland in terms of total research performance and the Universities of Melbourne, Adelaide and Western Australia in per academic staff terms.

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File URL: http://www.uow.edu.au/content/groups/public/@web/@commerce/@econ/documents/doc/uow012202.pdf
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Publisher Info
Paper provided by School of Economics, University of Wollongong, NSW, Australia in its series Economics Working Papers with number wp05-19.

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Length: 19 pages
Date of creation: 2005
Date of revision:
Handle: RePEc:uow:depec1:wp05-19

Contact details of provider:
Postal: School of Economics, University of Wollongong, Northfields Avenue, Wollongong NSW 2522 Australia
Phone: +612 4221-3663
Fax: +612 4221-3725
Web page: http://www.uow.edu.au/commerce/econ/
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Related research
Keywords: Higher education; hierarchical cluster analysis; research performance; factor analysis;

Find related papers by JEL classification:
A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
A19 - General Economics and Teaching - - General Economics - - - Other
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
I29 - Health, Education, and Welfare - - Education - - - Other

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Johnes, Geraint, 1988. "Determinants of research output in economics departments in British universities," Research Policy, Elsevier, vol. 17(3), pages 171-178, June. [Downloadable!] (restricted)
  2. Malcolm Abbott & Hristos Doucouliagos, 2004. "Research output of Australian universities," Education Economics, Taylor and Francis Journals, vol. 12(3), pages 251-265, December. [Downloadable!] (restricted)
    Other versions:
  3. Andrew C. Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor and Francis Journals, vol. 9(3), pages 245-268, December. [Downloadable!] (restricted)
  4. Ying Chu Ng, Sung Ko Li, 2000. "Measuring the Research Performance of Chinese Higher Education Institutions: An Application of Data Envelopment Analysis," Education Economics, Taylor and Francis Journals, vol. 8(2), pages 139-156, August. [Downloadable!] (restricted)
  5. Johnes, Jill & Johnes, Geraint, 1995. "Research funding and performance in U.K. University Departments of Economics: A frontier analysis," Economics of Education Review, Elsevier, vol. 14(3), pages 301-314, September. [Downloadable!] (restricted)
  6. Glass, J C & McKillop, Donal G & Hyndman, N, 1995. "Efficiency in the Provision of University Teaching and Research: An Empirical Analysis of UK Universities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(1), pages 61-72, Jan.-Marc. [Downloadable!] (restricted)
  7. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February. [Downloadable!] (restricted)
  8. Glenn Milligan, 1980. "An examination of the effect of six types of error perturbation on fifteen clustering algorithms," Psychometrika, Springer, vol. 45(3), pages 325-342, September. [Downloadable!] (restricted)
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