Mining institutional datasets to support policy making and implementation

Yorke, Mantz and Barnett, Greg and Evanson, Peter and Haines, Chris and Jenkins, Don and Knight, Peter and Scurry, Dave and Stowell, Marie and Woolf, Harvey (2005) Mining institutional datasets to support policy making and implementation. Journal of Higher Education Policy and Management, 27 (2). pp. 285-298. ISSN 1360-080X

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Abstract

Datasets are often under‐exploited by institutions, yet they contain evidence that is potentially of high value for planning and decision‐making. This article shows how institutional data were used to determine whether the demographic background of students might have an influence on their performance: this is a matter of particular interest where participation in higher education is being widened. Analyses showed that, whilst area of domicile appeared to be related to lower performance in a few disciplinary areas, much stronger relationships were evident in respect of other demographic variables. The use of nonparametric analyses based on cutting module performances at the median, rather than using raw scores, is of methodological interest since the distribution of raw marks is influenced by the subject discipline.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Higher Education Policy and Management
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/3300/3321
Subjects:
ID Code:
62812
Deposited By:
Deposited On:
11 Mar 2013 15:19
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 08:20