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Two-Level Theories and Fuzzy-Set Analysis

Author

Listed:
  • Gary Goertz

    (University of Arizona)

  • James Mahoney

    (Brown University)

Abstract

Two-level theories explain outcomes with causal variables at two levels of analysis that are systematically related to one another. Although many prominent scholars in the field of comparative analysis have developed two-level theories, the empirical and methodological issues that these theories raise have yet to be investigated. In this article, the authors explore different structures of two-level theories and consider the issues involved in testing these theories with fuzzy-set methods. They show that grasping the overall structure of two-level theories requires both specifying the particular type of relationship that exists between and within levels of analysis and specifying the logical linkages between levels in terms of necessary and sufficient conditions. They argue that for the purposes of testing these theories, fuzzy-set analysis provides a powerful set of tools. However, to realize this potential, investigators using fuzzy-set methods must be clear about the two-level structure of their theories from the onset.

Suggested Citation

  • Gary Goertz & James Mahoney, 2005. "Two-Level Theories and Fuzzy-Set Analysis," Sociological Methods & Research, , vol. 33(4), pages 497-538, May.
  • Handle: RePEc:sae:somere:v:33:y:2005:i:4:p:497-538
    DOI: 10.1177/0049124104266128
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    References listed on IDEAS

    as
    1. Mahoney, James & Goertz, Gary, 2004. "The Possibility Principle: Choosing Negative Cases in Comparative Research," American Political Science Review, Cambridge University Press, vol. 98(4), pages 653-669, November.
    2. Sartori, Giovanni, 1970. "Concept Misformation in Comparative Politics," American Political Science Review, Cambridge University Press, vol. 64(4), pages 1033-1053, December.
    3. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, September.
    4. Braumoeller, Bear F., 2003. "Causal Complexity and the Study of Politics," Political Analysis, Cambridge University Press, vol. 11(3), pages 209-233, July.
    5. Collier, David & Mahon, James E., 1993. "Conceptual “Stretching†Revisited: Adapting Categories in Comparative Analysis," American Political Science Review, Cambridge University Press, vol. 87(4), pages 845-855, December.
    6. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
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