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Fuzzy-set social science / Charles C. Ragin.

By: Material type: TextTextPublisher number: Zafaa Books & Distributors | Inderlok DelhiPublication details: Chicago : University of Chicago Press, 2000.Description: xviii, 352 p. : ill. ; 24 cmISBN:
  • 9780226702773
Subject(s): Genre/Form: DDC classification:
  • 300.151 CHA 23
Contents:
pt. 1. Diversity-Oriented Research. 1. Diversity-Oriented Research: Between Complexity and Generality. 2. Constituting Populations. 3. Studying Cases as Configurations. 4. Causal Complexity. 5. The Logic of Diversity-Oriented Research -- pt. 2. Fuzzy-Set Methods. 6. Fuzzy Sets and the Study of Diversity. 7. Using Fuzzy Sets to Constitute Cases and Populations. 8. Fuzzy Sets and Necessary Conditions. 9. Using Fuzzy Sets to Study Sufficient Conditions. 10. Causal Complexity: Applying Fuzzy-Set Methods. 11. Fuzzy Sets and the Dialogue between Ideas and Evidence.
Summary: In this innovative approach to the practice of social science, Charles Ragin explores the use of fuzzy sets to bridge the divide between quantitive and qualitative methods. He argues that fuzzy sets allow a far richer dialogue between ideas and evidence in social research than previously possible.
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Books Books SNU LIBRARY 300.151 CHA (Browse shelf(Opens below)) Not For Loan 28091
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pt. 1. Diversity-Oriented Research. 1. Diversity-Oriented Research: Between Complexity and Generality. 2. Constituting Populations. 3. Studying Cases as Configurations. 4. Causal Complexity. 5. The Logic of Diversity-Oriented Research --
pt. 2. Fuzzy-Set Methods. 6. Fuzzy Sets and the Study of Diversity. 7. Using Fuzzy Sets to Constitute Cases and Populations. 8. Fuzzy Sets and Necessary Conditions. 9. Using Fuzzy Sets to Study Sufficient Conditions. 10. Causal Complexity: Applying Fuzzy-Set Methods. 11. Fuzzy Sets and the Dialogue between Ideas and Evidence.

In this innovative approach to the practice of social science, Charles Ragin explores the use of fuzzy sets to bridge the divide between quantitive and qualitative methods. He argues that fuzzy sets allow a far richer dialogue between ideas and evidence in social research than previously possible.

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