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

Volumn 174, Issue 1, 2011, Pages 17-30

  Brunsdon, Chris ^a   Longley, Paul ^b   Singleton, Alex ^b   Ashby, David ^c  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c Dr Foster Intelligence   (United Kingdom)

Author keywords

Geodemographics; Higher education; Participation; Poisson regression; Postcodes

Indexed keywords

EID: 78650906671     PISSN: 09641998     EISSN: 1467985X     Source Type: Journal    
DOI: 10.1111/j.1467-985X.2010.00641.x     Document Type: Article

References (25)

1. Ashby, D. I. (2005) Policing neighbourhoods: exploring the geographies of crime, policing and performance assessment. Polcng Soc., 15, 413-447.
2. Ashby, D. I. and Longley, P. A. (2005) Geocomputation, geodemographics and resource allocation for local policing. Trans. GIS, 9, 53-72.
3. Aveyard, P., Manaseki, S. and Chambers, J. (2002) The relationship between mean birth weight and poverty using the Townsend deprivation score and the Super Profile classification system. Publ. Hlth, 116, 308-314.
4. Batey, P. and Brown, P. J., (1994) Design and construction of geodemographic targeting systems. J. Targetng Measmnt Anal. Marktng, 3, 105-115.
5. Batey, P., Brown, P. J. B. and Corver, M. (1999) Participation in higher education: a geodemographic perspective on the potential for further expansion in student numbers. J. Geogr. Syst., 1, 277-303.
6. Birkin, M. (1995) Customer targeting, geodemographic and lifestyles approaches. In GIS for Business and Service Planning (eds P. A. Longley and G. P. Clarke). Cambridge: GeoInformation.
7. Birkin, M., Clarke, G. and Clarke, M. (2002) Retail Geography and Intelligent Network Planning. Chichester: Wiley.
8. Brown, P. and Batey, P. (1994) Design and construction of a geodemographic targeting system: Super Profiles 1994. Report WP-40. Urban Research and Policy Evaluation Regional Research Laboratory, Department of Civic Design, University of Liverpool, Liverpool.
9. Cox, D. R. and Hinkley, D. V. (1974) Theoretical Statistics, p. 92. London: Chapman and Hall.
10. Farr, M. and Evans, A. (2005) Identifying 'unknown diabetics' using geodemographics and social marketing. Interact. Marktng, 7, 47-58.
11. Harris, R., Johnston, R. and Burgess, S. (2007) Neighborhoods, ethnicity and school choice: developing a statistical framework for geodemographic analysis. Popln Res. Poly Rev., 26, 553-579.
12. Harris, R., Sleight, P. and Webber, R. (2005) Geodemographics, GIS and Neighbourhood Targeting. Chichester: Wiley.
13. Longley, P. (2005) Geographical Information Systems: a renaissance of geodemographics for public service delivery. Prog. Hum. Geogr., 29, 57-63.
14. Longley, P. A. and Goodchild, M. F. (2008) The use of geodemographics to improve public service delivery. In Managing to Improve Public Services (eds J. Hartley, C. Donaldson, C. Skelcher and M. Wallace), ch. 6. Cambridge: Cambridge University Press. To be published.
15. Longley, P. A., Goodchild, M. F., Maguire, D. J. and Rhind, D. W. (2005) Geographic Information Systems and Science, 2nd edn. Chichester: Wiley.
16. Office for National Statistics (2009) National Statistics Postcode Directory. Newport: Office for National Statistics. (Available from.)
17. R Development Core Team (2008) R: a Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.
18. Singleton, A. and Longley, P. (2009) Creating open source geodemographics-refining a national classification of census output areas for applications in higher education. Pap. Regl Sci., 88, 643-666.
19. Sleight, P. (1997) Targeting Customers: How to Use Geodemographic and Lifestyle Data in Your Business. Henley-on-Thames: NTC.
20. Tonks, D. and Farr, M. (2003) Widening access and participation in UK higher education. Int. J. Educ. Mangmnt, 17, 26-36.
21. Vickers, D. and Rees, P. (2006) Introducing the area classsification of output areas. Popln Trends, 125, 15-29.
22. Vickers, D. and Rees, P. (2007) Creating the UK National Statistics 2001 output area classification. J. R. Statist. Soc. A, 170, 379-403.
23. Voas, D. and Williamson, P. (2001a) The diversity of diversity: a critique of geodemographic classification. Area, 33, 63-76.
24. Voas, D. and Williamson, P. (2001b) Response (The diversity of diversity). Area, 33, 335-336.
25. Webber, R. (2005) Classifying pupils by where they live: how well does this predict variations in their GCSE results? Working Paper 99. Centre for Advanced Spatial Analysis, University College London, London.