• Admin Login
    View Item 
    •   Home
    • Faculty of Education, Health and Wellbeing
    • Faculty of Education, Health and Wellbeing
    • View Item
    •   Home
    • Faculty of Education, Health and Wellbeing
    • Faculty of Education, Health and Wellbeing
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of WIRECommunitiesTitleAuthorsIssue DateSubmit DateSubjectsTypesJournalDepartmentPublisherThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsTypesJournalDepartmentPublisher

    Administrators

    Admin Login

    Local Links

    AboutThe University LibraryOpen Access Publications PolicyDeposit LicenceCOREWIRE Copyright and Reuse Information

    Statistics

    Display statistics

    Mining institutional datasets to support policy making and implementation

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Average rating
     
       votes
    Cast your vote
    You can rate an item by clicking the amount of stars they wish to award to this item. When enough users have cast their vote on this item, the average rating will also be shown.
    Star rating
     
    Your vote was cast
    Thank you for your feedback
    Authors
    Yorke, Mantz
    Barnett, Greg
    Evanson, Peter
    Haines, Chris
    Jenkins, Don
    Knight, Peter
    Scurry, David
    Stowell, Marie
    Woolf, Harvey
    Issue Date
    2005
    
    Metadata
    Show full item record
    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.
    Citation
    Journal of Higher Education Policy and Management, 27(2): 285-298
    Publisher
    Routledge (Taylor & Francis)
    Journal
    Journal of Higher Education Policy and Management
    URI
    http://hdl.handle.net/2436/26397
    DOI
    10.1080/13600800500120241
    Additional Links
    http://www.informaworld.com/smpp/content~db=all?content=10.1080/13600800500120241
    Type
    Journal article
    Language
    en
    ISSN
    1360080X
    14699508
    ae974a485f413a2113503eed53cd6c53
    10.1080/13600800500120241
    Scopus Count
    Collections
    Faculty of Education, Health and Wellbeing

    entitlement

     

    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.