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    Predicting participation in higher education: a comparative evaluation of the performance of geodemographic classifications


    Brunsdon, Chris and Longley, Paul and Singledon, Alex and Ashby, David (2011) Predicting participation in higher education: a comparative evaluation of the performance of geodemographic classifications. Journal of the Royal Statistical Society: Series A (Statistics in Society), 174 (1). pp. 17-30. ISSN 1467-985X

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    Abstract

    Participation in UK higher education is modelled by using Poisson regression techniques. Models using geodemographic classifications of neighbourhoods of varying levels of detail are compared with those using variables that are directly derived from the census, using a cross-validation approach. Increasing the detail of geodemographic classifiers appears to be justified in general, although the degree of improvement becomes more marginal as the level of detail is increased. The census variable approach performs comparably, although it is argued that this depends heavily on an appropriate choice of predictors. The paper concludes by discussing these results in a broader practice-oriented and pedagogic context.

    Item Type: Article
    Keywords: Geodemographics; Higher education; Participation; Poisson regression; Postcodes;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
    Item ID: 5868
    Depositing User: Prof. Chris Brunsdon
    Date Deposited: 19 Feb 2015 11:56
    Journal or Publication Title: Journal of the Royal Statistical Society: Series A (Statistics in Society)
    Publisher: Wiley
    Refereed: Yes
    URI:

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