Journal of Data Science logo


Login Register

  1. Home
  2. Issues
  3. Volume 10, Issue 2 (2012)
  4. Model-Based Cluster Analysis of Democrac ...

Journal of Data Science

Submit your article Information
  • Article info
  • Related articles
  • More
    Article info Related articles

Model-Based Cluster Analysis of Democracies
Volume 10, Issue 2 (2012), pp. 297–319
Jaewon Jang   David B. Hitchcock  

Authors

 
Placeholder
https://doi.org/10.6339/JDS.2012.10(2).1018
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

Abstract: We apply model-based cluster analysis to data concerning types of democracies, creating an instrument for typologies. Noting several ad vantages of model-based clustering over traditional clustering methods, we fit a normal mixture model for types of democracy in the context of the majoritarian-consensus contrast using Lijphart’s (1999) data on ten variables for 36 democracies. The model for the full period (1945-1996) finds four types of democracies: two types representing a majoritarian-consensus contrast, and two mixed ones lying between the extremes. The four-cluster solution shows that most of the countries have high cluster membership probabilities, and the solution is found to be quite stable with respect to possible measurement error in the variables included in the model. For the recent-period (1971-1996) data, most countries remain in the same clusters as for the full-period data.

Related articles PDF XML
Related articles PDF XML

Copyright
No copyright data available.

Keywords
Model-based clustering multivariate analysis types of democracy

Metrics
since February 2021
501

Article info
views

390

PDF
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

Journal of data science

  • Online ISSN: 1683-8602
  • Print ISSN: 1680-743X

About

  • About journal

For contributors

  • Submit
  • OA Policy
  • Become a Peer-reviewer

Contact us

  • JDS@ruc.edu.cn
  • No. 59 Zhongguancun Street, Haidian District Beijing, 100872, P.R. China
Powered by PubliMill  •  Privacy policy