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Constructing Multivariate Analyses (of Dangerous Dyads)

Author

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  • James Lee Ray

    (Department of Political Science Vanderbilt University Nashville, Tennessee, USA, james.l.ray@vanderbilt.edu)

Abstract

Most multivariate models aimed at evaluating the impact of democracy on interstate conflict contain a set of control variables sufficiently large to have a confusing impact. Partly for that reason, the potentially confounding impacts of such variables as wealth, political stability, and political similarity on the relationship of democracy to conflict have still not been evaluated in a definitive manner. In other cases, multivariate models contain intervening variables that are likely to produce misleading results. Multivariate analyses aimed specifically at uncovering spurious relationships in a more straightforward and incremental manner are better able to produce clear and informative results.

Suggested Citation

  • James Lee Ray, 2005. "Constructing Multivariate Analyses (of Dangerous Dyads)," Conflict Management and Peace Science, Peace Science Society (International), vol. 22(4), pages 277-292, September.
    • Handle: RePEc:sae:compsc:v:22:y:2005:i:4:p:277-292
    DOI: 10.1080/07388940500339175
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    References listed on IDEAS

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    7. D. Scott Bennett & Allan C. Stam, 2000. "Research Design and Estimator Choices in the Analysis of Interstate Dyads," Journal of Conflict Resolution, Peace Science Society (International), vol. 44(5), pages 653-685, October.
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    Cited by:

    1. Helge Holtermann, 2011. "Explaining the Development-Civil War Relationship," LIS Working papers 566, LIS Cross-National Data Center in Luxembourg.
    2. Sebastian Rosato, 2011. "On the Democratic Peace," Chapters, in: Christopher J. Coyne & Rachel L. Mathers (ed.), The Handbook on the Political Economy of War, chapter 15, Edward Elgar Publishing.

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