Fotheringham, Stewart, Charlton, Martin and Brunsdon, Chris (2001) Spatial Variations in School Performance: a Local Analysis Using Geographically Weighted Regression. Geographical and Environmental Modelling, 5 (1). pp. 43-66. ISSN 1361-5939
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Abstract
In Britain, the performance of all state primary schools is assessed by
students’ attainment levels in a set of standardized tests administered to pupils at the
ages of 7 and 11 (the so-called Key Stages 1 and 2, respectively). These data are
analysed for 3687 schools in northern England. In particular, school performance is
linked to the number of students taking the test at each school and to various socioeconomic
indicators of the estimated school catchment areas. The latter are based on
a geographical weighting function that links census data, an areal coverage, to school
locations, a point coverage. Following a traditional global regression analysis, spatial
variations in the relationships are examined with geographically weighted regression
(GWR) to reveal some interesting geographical variations in the results.
Item Type: | Article |
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Keywords: | Spatial Variations; School Performance; Local Analysis; Geographically Weighted Regression; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG |
Item ID: | 6167 |
Identification Number: | 10.1080/13615930120032617 |
Depositing User: | Prof. Chris Brunsdon |
Date Deposited: | 08 Jun 2015 15:00 |
Journal or Publication Title: | Geographical and Environmental Modelling |
Publisher: | Taylor & Francis |
Refereed: | Yes |
URI: | https://mu.eprints-hosting.org/id/eprint/6167 |
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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