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About This Book
A discussion of the case study method which develops an integrative framework for causal inference in small-n research. This framework is applied to research design tasks such as case selection and process tracing. The book presents the basics, state-of-the-art and arguments for improving the case study method and empirical small-n research.
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Yes, you can access Case Studies and Causal Inference by I. Rohlfing in PDF and/or ePUB format, as well as other popular books in Politics & International Relations & Politics. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Cover
- Case Studies and Causal Inference
- Contents
- List of Figures
- List of Tables
- Preface
- 1 Introduction
- 2 Case, Case Study, and Causation: Core Concepts and Fundamentals
- 3 Types of Case Studies and Case Selection
- 4 Forms and Problems of Comparisons
- 5 Enhancing Causal Inference in Comparisons
- 6 Process Tracing: Theory, Temporality, and Method
- 7 From Evidence to Inference: Use of Sources and Counterfactuals
- 8 Frequentist and Bayesian Causal Inference in Tests of Hypotheses
- 9 External Validity and Generalization: Challenges and Strategies
- 10 Conclusion: Guided by Theory, Moving Forward Step by Step
- Notes
- References
- Index