Using geographically weighted regression to explore spatial variation in survey data

Butt, S., Lahtinen, K. & Brunsdon, C. (2016). Using geographically weighted regression to explore spatial variation in survey data. Paper presented at the GISRUK 2016, 30th March - 1st April 2016, London, UK.

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Abstract

Nonresponse can undermine the quality of social survey data. Understanding who does/does not respond to surveys is important for those involved in the collection and analysis of these data. Levels of nonresponse are known to vary geographically. However, there has been little consideration of how the predictors of survey nonresponse might vary geographically within countries. This study examines the possibility of spatial variation in response behavior using regional interactions and geographically weighted regression. Our results suggest that there is geographical variation in response behavior. Relying on “one size fits all” global models in nonresponse modelling might, therefore, be insufficient.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: spatial variaion survey nonresponse methodology
Subjects: H Social Sciences > HM Sociology
Divisions: School of Social Sciences > Department of Sociology
URI: http://openaccess.city.ac.uk/id/eprint/14509

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