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Political Analysis Advance Access originally published online on October 24, 2008
Political Analysis 2008 16(4):464-477; doi:10.1093/pan/mpn008
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© The Author 2008. Published by Oxford University Press on behalf of the Society for Political Methodology. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

This article appears in the following Political Analysis issue: Special Issue: The Statistical Analysis of Political Text [View the issue table of contents]

Coding Disaggregated Intrastate Conflict: Machine Processing the Behavior of Substate Actors Over Time and Space

Stephen M. Shellman

The Institute for the Theory and Practice of International Relations, The College of William and Mary, P.O. Box 8795, Williamsburg, VA 23186
e-mail: smshel{at}wm.edu

This article describes a new machine-coded event data set specifically designed to study the spatially, temporally, and tactically disaggregated actions of multiple state and nonstate actors in a systematic fashion. The project develops an extensive set of dictionaries for multiple actors and employs a new coding scheme to organize information on such actors and their behavior. The author describes the machine content-analysis methods used to collect the data and the newly developed coding scheme.

Author's note: I would like to thank Philip Schrodt for his help and guidance with this project over the last few years. He did everything from answering numerous e-mails to fixing small programming errors in a moment's notice. I could not have completed this project without his time, patience, and support. I would also like to thank Brandon M. Stewart for his valuable research assistance, ideas, and strong work ethic over the years as he worked on this project. Finally, I would like to thank the anonymous reviewers and guest editors for helpful comments on earlier drafts of this essay. Conflict of interest statement: None declared.


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