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This paper provides an intuitive introduction to cluster analysis. Our targeting audience are both scholars and students in Political Science. Methodologically, we use basic simulation to illustrate the underlying logic of cluster analysis and we replicate data from Coppedge, Alvarez and Maldonado (2008) [1] to classify political regimes according to Dahl’s (1971) [2] polyarchy dimensions: contestation and inclusiveness. With this paper, we hope to help novice scholars to understand and employ cluster analysis in Political Science empirical research.
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=48891#.VDc0NFfHRK0
Author(s)
Department of Political Science, Federal University of Pernambuco, Recife, Brazil.
Department of Political Science, Federal University of Pernambuco, Recife, Brazil.
Institute of Social Science, Federal University of Alagoas, Maceió, Brazil.
Institute of Social Science, Federal University of Alagoas, Maceió, Brazil.
Department of Political Science, Federal University of Pernambuco, Recife, Brazil.
Department of Political Science, Federal University of Pernambuco, Recife, Brazil.
Department of Political Science, Federal University of Pernambuco, Recife, Brazil.
Institute of Social Science, Federal University of Alagoas, Maceió, Brazil.
Institute of Social Science, Federal University of Alagoas, Maceió, Brazil.
Department of Political Science, Federal University of Pernambuco, Recife, Brazil.
Department of Political Science, Federal University of Pernambuco, Recife, Brazil.
This paper provides an intuitive introduction to cluster analysis. Our targeting audience are both scholars and students in Political Science. Methodologically, we use basic simulation to illustrate the underlying logic of cluster analysis and we replicate data from Coppedge, Alvarez and Maldonado (2008) [1] to classify political regimes according to Dahl’s (1971) [2] polyarchy dimensions: contestation and inclusiveness. With this paper, we hope to help novice scholars to understand and employ cluster analysis in Political Science empirical research.
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Cite this paper
Filho, D. , Rocha, E. , Júnior, J. , Paranhos, R. ,
Silva, M. and Duarte, B. (2014) Cluster Analysis for Political
Scientists. Applied Mathematics, 5, 2408-2415. doi: 10.4236/am.2014.515232.
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