UID:
almahu_9949557042602882
Format:
1 online resource (140 p.)
Edition:
1st ed.
ISBN:
0-520-39374-0
Content:
A free ebook version of this title is available through Luminos, University of California Press's Open Access publishing program. Visit www.luminosoa.org to learn more. 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.
Note:
Frontmatter --
,
Contents --
,
Acknowledgments --
,
Introduction --
,
Part One. The Logic of Analytic Induction --
,
1. Classic Analytic Induction --
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2. Reconciling Disconfirming Cases --
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3. Explaining Variation versus Explaining Outcomes --
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4. The Uses of "Negative" Cases in Social Research --
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Part Two. Generalized Analytic Induction --
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5. Classic versus Generalized Analytic Induction --
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6. The Interpretive Logic of Generalized Analytic Induction --
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7. Generalized Analytic Induction: A Step-by-Step Guide --
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8. Using Generalized AI to Reanalyze Viterna's Study of Women's Mobilization into the Salvadoran Guerrilla Army --
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9. Applying Generalized AI to Conventional Quantitative Data --
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10. Core Features of Generalized Analytic Induction --
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Appendix A. Brief Overview of Qualitative Comparative Analysis --
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Appendix B. Fuzzy Sets --
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Appendix C. Using fsQCA Software to Implement Generalized AI --
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Appendix D. Converting "Sum-of-Products" Expressions to "Product-of-Sums" Expressions --
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Appendix E. Measures Used in Logistic Regression Analysis --
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Notes --
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References --
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Index
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In English.
Additional Edition:
ISBN 9780520393738
Language:
English
DOI:
10.1525/9780520393745
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