Fotheringham, Stewart and 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
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:	https://doi.org/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:
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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