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Introduction to the Special Issue “Causal Complexity and Qualitative Methods”

Published online by Cambridge University Press:  04 January 2017

Gary Goertz
Gary Goertz*
Affiliation:
Department of Political Science, University of Arizona, Tucson, AZ 85721. e-mail: ggoertz@u.arizona.edu
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Extract

This special issue of Political Analysis engages in a dialogue between qualitative and quantitative methods. It proposes that each has something to say to the other and more generally has a contribution to make to empirical social science.

Type
Research Article
Information
Political Analysis , Volume 14 , Issue 3: Special Issue on Causal Complexity and Qualitative Methods , Summer 2006 , pp. 223 - 226
Copyright
Copyright © The Author 2006. Published by Oxford University Press on behalf of the Society for Political Methodology 

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References

Achen, Christopher H. 2005. Let's put garbage-can regressions and garbage-can probits where they belong. Conflict Management and Peace Science 22: 327–39.Google Scholar
Braumoeller, Bear F., and Goertz, Gary. 2000. The methodology of necessary conditions. American Journal of Political Science 44: 844–58.Google Scholar
Cioffi-Revilla, Claudio 1998. Politics and uncertainty: Theory, models and applications. Cambridge: Cambridge University Press.Google Scholar
Clarke, Kevin A. 2005. The phantom menace: Omitted variable bias in econometric research. Conflict Management and Peace Science 22: 341–52.CrossRefGoogle Scholar
Dion, Douglas 1998. Evidence and inference in the comparative case study. Comparative Politics 30: 127–45.Google Scholar
Granato, Jim, and Scioli, Frank. 2004. Puzzles, proverbs, and omega matrices: The scientific and social significance of Empirical Implications of Theoretical Models (EITM). Perspectives on Politics 2: 313–24.Google Scholar
Hall, Peter A. 2003. Aligning ontology and methodology in comparative research. In Comparative historical analysis in the social sciences, ed. Mahoney, J. and Rueschemeyer, D. Cambridge: Cambridge University Press.Google Scholar
Holland, Paul W. 1986. Statistics and causal inference (with discussion). Journal of the American Statistical Association 81: 945–60.Google Scholar
Jones, Bryan D., Sulkin, Tracy, and Larsen, Heather A. 2003. Policy punctuations in American political institutions. American Political Science Review 97: 151–69.Google Scholar
Kadera, Kelly, and Mitchell, Sara, eds. 2005. Manna from heaven or forbidden fruit? The (ab)use of control variables in research on international conflict. Conflict Management and Peace Science 22: 273–363.Google Scholar
King, Gary, Keohane, Robert O., and Verba, Sidney. 1994. Designing social inquiry: Scientific inference in qualitative research. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Lupia, Arthur, and McCubbins, Matthew D. 1998. The democratic dilemma: Can citizens learn what they need to know? Cambridge: Cambridge University Press.Google Scholar
Ragin, Charles C. 2000. Fuննy-set social science. Chicago: University of Chicago Press.Google Scholar
Ray, James Lee. 2005. Constructing multivariate analyses (of dangerous dyads). Conflict Management and Peace Science 22: 277–92.Google Scholar
Rubin, Donald. 1974. Estimating causal effects of treatments in randomized and non-randomized studies. Journal of Educational Psychology 66: 688–701.Google Scholar