ERIC Number: EJ970177
Record Type: Journal
Publication Date: 2012
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0018-1609
EISSN: N/A
Available Date: N/A
Profiling Universities, Not Only Ranking Them: Maximising the Information of Predictors
Soh, Kay Cheng
Higher Education Review, v44 n2 p27-42 Spr 2012
Three university ranking systems in vogue have been shown in the previous issue of "Higher Education Review" to be capable of modifications to make them more parsimonious by using only about half of the number of predictors currently in use. This makes some of the predictors "redundant" as they contributed little to the overall ranking. It is suggested that these "redundant" predictors should be used for profiling the universities for useful information that aids improvement. Thus, a combination of ranking and profiling is recommended to maximise the information provided by the data. (Contains 17 tables.)
Descriptors: Higher Education, Predictor Variables, Profiles, Test Items, Item Analysis, Redundancy, Information Utilization, Classification, Educational Indicators, Cluster Grouping, Comparative Analysis, Evaluation Methods
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A