|Title: ||Mining institutional datasets to support policy making and implementation|
|Citation: ||Journal of Higher Education Policy and Management, 27(2): 285-298|
|Publisher: ||Routledge (Taylor & Francis)|
|Journal: ||Journal of Higher Education Policy and Management|
|Issue Date: ||2005 |
|Additional Links: ||http://www.informaworld.com/smpp/content~db=all?content=10.1080/13600800500120241|
|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.|
|Keywords: ||Higher education|
|Appears in Collections: ||Learning and Teaching in Higher Education|
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