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Multilevel Analyses of Comparative Data: A Comment

Published online by Cambridge University Press:  04 January 2017

Nathaniel Beck
Nathaniel Beck*
Affiliation:
Department of Politics, New York University, New York, NY. e-mail: nathaniel.beck@nyu.edu
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Extract

The articles in this special issue all use multilevel methods to study comparative political behavior. This is obviously a good thing, for both methodology and comparative politics. Clearly comparative politics means comparing things and not just studying nations other than the United States. This is equally true of micropolitical studies. These articles all do a very nice job of showing how one can do comparative micropolitics (and tie together micro and macro variables).

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Type
Comments
Information
Political Analysis , Volume 13 , Issue 4: Special Issue on Multilevel Modeling for Large Clusters , Autumn 2005, pp. 457 - 458
Copyright
Copyright © The Author 2005. Published by Oxford University Press on behalf of the Society for Political Methodology 

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References

Beck, Nathaniel, and Katz, Jonathan N. 2004. “Random Coefficient Models for Time-Series-Cross-Section Data.” Social Science Working Paper 1205. Division of the Humanities and Social Sciences, California Institute of Technology.Google Scholar
Bryk, A. S., and Raudenbush, S. W. 1992. Hierarchical Linear Models, Applications and Data Analysis Methods. Thousand Oaks, CA: Sage.Google Scholar
Duch, Raymond M., and Stevenson, Randy. 2005. “Context and the Economic Vote: A Multilevel Analysis.” Political Analysis. doi:10.1093/pan/mpi028.CrossRefGoogle Scholar
Swamy, P. A. V. B. 1971. Statistical Inference in Random Coefficient Models. New York: Springer-Verlag.CrossRefGoogle Scholar