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This book explores analytic induction, an approach to the analysis of cross-case evidence on qualitative outcomes that has deep roots in sociology. A popular research technique in the early decades of empirical sociology, analytic induction differs fundamentally as a method of social research from conventional variation-based approaches. In
Analytic Induction for Social Research, Charles C. Ragin demonstrates that much is gained from systematizing analytic induction. The approach he introduces here offers a new template for conducting cross-case analysis and provides a new set of tools for answering common research questions that existing methods cannot address.
表中的内容
Contents
Acknowledgments
Introduction
PART ONE. THE LOGIC OF ANALYTIC INDUCTION
1. Classic Analytic Induction
2. Reconciling Disconfirming Cases
3. Explaining Variation versus Explaining Outcomes
4. The Uses of “Negative” Cases in Social Research
PART TWO. GENERALIZED ANALYTIC INDUCTION
5. Classic versus Generalized Analytic Induction
6. The Interpretive Logic of Generalized Analytic Induction
7. Generalized Analytic Induction: A Step-by-Step Guide
8. Using Generalized AI to Reanalyze Viterna’s Study of Women’s Mobilization into the Salvadoran Guerrilla Army
9. Applying Generalized AI to Conventional Quantitative Data
10. Core Features of Generalized Analytic Induction
Appendix A. Brief Overview of Qualitative Comparative Analysis
Appendix B. Fuzzy Sets
Appendix C. Using fs QCA Software to Implement Generalized AI
Appendix D. Converting “Sum-of-Products” Expressions to “Product-of-Sums” Expressions
Appendix E. Measures Used in Logistic Regression Analysis
Notes
References
Index
关于作者
Charles C. Ragin is Chancellor's Professor Emeritus of Sociology at the University of California, Irvine. He is a recipient of the International Science Council's Stein Rokkan Prize, the Policy Studies Organization's Donald Campbell Award, and the American Sociological Association's Paul F. Lazarsfeld Award.
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