Qualitative Comparative Analysis : Learning from Cases

Qualitative Comparative Analysis : Learning from Cases

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  • 製本 Hardcover:ハードカバー版/ページ数 240 p.
  • 言語 ENG
  • 商品コード 9781839104510
  • DDC分類 001.42

Full Description

Emphasising the Q in qualitative comparative analysis (QCA), Roel Rutten presents QCA as a thoroughly qualitative method to help researchers learn from cases. He highlights that while Boolean expressions describing cross-case patterns are QCA's most conspicuous element, they do not amount to causal explanations.

Throughout the book, Rutten demonstrates how QCA's interpretive logic pervades every step of a QCA study. He uses critical realism as a philosophical foundation to explain how QCA researchers develop their partial and perspectival knowledge of cases into Boolean expressions. Proposing multi-level sets as a way to acknowledge the diversity of social reality, Rutten criticises the use of fuzzy sets in QCA as a poor match to QCA's threshold logic.

Comprehensive and innovative, this book is a vital read for social science methods experts and users. It is also an important book for QCA experts and students looking for a deeper understanding of QCA.

Contents

Contents
Preface
1 QCA: learning from cases
2 The Ragin revolution
3 A theory of causality for QCA
4 Cases, case populations and generalization
5 Boolean algebra
6 The case-based causal logic
7 Set analysis
8 Calibration and aggregation
9 Reservations against fuzzy sets in QCA
10 The truth table analysis
11 Calibration and confounding conditions in a large-N example
12 Getting QCA right: a small-N example
13 Capturing the logic and practice of QCA
References
Appendix: Resources

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