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Brunsdon, Chris, Longley, Paul, 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 |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/5868 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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