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ERIC Number: EJ1182779
Record Type: Journal
Publication Date: 2018
Pages: 20
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0884-1241
Getting out of the Rankings Game: A Better Way to Evaluate Higher Education Institutions for Best Fit
Poole, Sonja Martin; Levin, Michael A.; Elam, Kate
Journal of Marketing for Higher Education, v28 n1 p12-31 2018
The purpose of this paper is to propose an alternative model to conventional higher education institution (HEI) rankings that can better communicate meaningful differentiation to prospective students. A five-step approach is followed to form clusters and classify HEIs. Cluster analysis is performed on two separate datasets containing (1) public HEIs and (2) private HEIs. For the final model, 42 variables were incorporated to group 761 private HEIs and, separately, 414 public HEIs. A five-cluster solution for each dataset is presented and described. Each cluster contains a description and a managerial recommendation. The application cluster analysis to group HEIs differs from the more popular but more problematic approach of ranking HEIs. Grouping resolves the problems that stem from ranking and provides possibly more useful information.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A