Using Multilevel Models to Analyse the Context of Electoral Data

Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Multilevel models are used to analyse contextual effects in hierarchical structures in order to explore the relationship among nested units. This study aims to observe the link among the territorial micro units nested in higher levels. We examine electoral data in two stages, defined in first level units inside nested structures. In these we used economic, demographic and social variables in order to characterize the context and explore its effects upon the electoral outline of territorial units.

Keywords

Vote Behaviour Electoral Outcome Territorial Unit Electoral Data Empty Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barbosa, M. F., & Goldstein, H. (2000). Discrete response multilevel models for repeated measures: an application to voting intention data. Quality and Quantity, 34, 323–330.CrossRefGoogle Scholar
  2. Cho, W. K. T., Gimpel, J. C., & Dyck, J. J. (2006). Residential concentration, political socialization and voter turnout. The Journal of Politics, 68(1), 156–167.CrossRefGoogle Scholar
  3. Goldstein, H. (2003). Multilevel statistical models. London: Hodder Arnold.MATHGoogle Scholar
  4. ISTAT. (2001). { 14}  ∘  Censimento della popolazione e delle abitazioni. Roma: ISTAT.Google Scholar
  5. Johnston, R., Jones, K., Sarker, R., Burgess, S., Propper, C., & Bolster, A. (2003). A missing level in the analysis of British voting behaviour: the household as context as shown by analyses of 1992–1997 longitudinal survey. PSA EPOP Conference, Cardiff, UK.Google Scholar
  6. Jones, K., Johnston, R., & Pattie, C. J. (1992). People, places and regions: exploring the use of multi-level modelling in the analysis of electoral data. British Journal of Political Science, 22, 343–380.CrossRefGoogle Scholar
  7. Kreft, I., & de Leeuw, J. (1998). Introducing multilevel models. London: Sage.Google Scholar
  8. Lazarsfeld, P. F., & Menzel, H. (1961). On the relation between individual and collective properties. In A. Etzioni (Ed.), Complex organization. New York: Holt.Google Scholar
  9. Riba, C., & Cuxart, A. (2003). Associationism and electoral participation: a multilevel study of 2000 Spanish general election. Comunicaciòn presentada en el VI congreso de la Asociaciòn española de ciencia polìtica y de la administraciòn. In Capital social, Asociacionismo y participaciòn polìtica en España. Barcelona, 18–20 de Septiembre.Google Scholar
  10. Snijders, T. A. B., & Bosker, R. J. (1999). Multilevel analysis: an introduction to basic and advanced multilevel modelling. Thousand Oaks, CA: Sage.Google Scholar
  11. Steembergen, M. R., & Jones, B. S. (2002). Modelling multilevel data structures. American Journal of Political Science, 46(1), 218–237.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.University of CataniaCataniaItaly

Personalised recommendations