ECPR Research Methods

Case Studies and Causal Inference

An Integrative Framework

Authors: Rohlfing, I.

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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.

About the authors

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 European Politics.

Reviews

'Ingo Rohlfing's book marks an important contribution to the case-methods literature. Building upon but going beyond earlier work, he advances an integrative perspective that offers a comprehensive discussion of case studies and their potential for causal inference. Foundational questions on the case method - the nature of causation (effects or mechanisms), scope conditions, the role(s) of theory, and process tracing - are addressed, and done so in a user-friendly manner where conceptual discussions are illuminated with a rich set of empirical illustrations. Case Studies and Causal Inference is a must read - not just for methodologists, but for all qualitatively oriented social scientists.' - Jeffrey T. Checkel, Simons Chair in International Law and Human Security, Simon Fraser University, Research Professor, Peace Research Institute, Oslo

'An important and ambitious effort to synthesize different approaches to causal inference in case study research. The book offers a balanced discussion of different methodologies, and it reaches sophisticated conclusions that move the discussion forward. Rohlfing's work is useful for both teaching methods and designing substantive case study research.' - James Mahoney, Fitzgerald Professor of Economic History, Northwestern University, USA


Table of contents (10 chapters)

  • Introduction

    Rohlfing, Ingo

    Pages 1-22

  • Case, Case Study, and Causation: Core Concepts and Fundamentals

    Rohlfing, Ingo

    Pages 23-60

  • Types of Case Studies and Case Selection

    Rohlfing, Ingo

    Pages 61-96

  • Forms and Problems of Comparisons

    Rohlfing, Ingo

    Pages 97-124

  • Enhancing Causal Inference in Comparisons

    Rohlfing, Ingo

    Pages 125-149

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-1-137-27132-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $110.00
price for USA
  • ISBN 978-0-230-24070-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $105.00
price for USA
  • ISBN 978-1-349-31657-1
  • Free shipping for individuals worldwide
  • This title is currently reprinting. You can pre-order your copy now.

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Bibliographic Information

Bibliographic Information
Book Title
Case Studies and Causal Inference
Book Subtitle
An Integrative Framework
Authors
Series Title
ECPR Research Methods
Copyright
2012
Publisher
Palgrave Macmillan UK
Copyright Holder
Palgrave Macmillan, a division of Macmillan Publishers Limited
eBook ISBN
978-1-137-27132-7
DOI
10.1057/9781137271327
Hardcover ISBN
978-0-230-24070-4
Softcover ISBN
978-1-349-31657-1
Edition Number
1
Number of Pages
XIII, 257
Topics