Case Studies and Causal Inference: An Integrative Framework

Hardcover | October 30, 2012

byIngo Rohlfing

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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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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 res...

INGO ROHLFING is Assistant Professor for Comparative Social Research at the Cologne Graduate School in Management, Economics and Social Sciences, University of Cologne, Germany. His research is centred on party politics and social science methodology and he has published in journals such as Comparative Political Studies and West Europ...
Format:HardcoverDimensions:272 pages, 9.98 × 5.72 × 0.9 inPublished:October 30, 2012Publisher:Palgrave MacmillanLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0230240704

ISBN - 13:9780230240704

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Table of Contents

Introduction
Case, Case Study, and Causality: Core Concepts and Fundamentals
Types of Case Study and Case Selection

Forms and Problems of Comparisons
Enhancing Causal Inference in Comparisons
Process Tracing: Theory, Temporality, and Method
From Evidence to Inference: Uses of Sources and Counterfactuals
Frequentist and Bayesian Causal Inference in Tests of Hypotheses
External Validity: Challenges and Strategies
Conclusion: Guided by Theory, Moving Forward Step by Step