Case Studies and Causal Inference

An Integrative Framework
2012. Auflage 2012
ISBN: 978-0-230-24070-4
Verlag: Palgrave MacMillan UK

Buch, Englisch, 257 Seiten, Format (B × H): 146 mm x 223 mm, Gewicht: 487 g

Reihe: ECPR Research Methods

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.

Zielgruppe

Research

Autoren/Hrsg.

Rohlfing, I.

Fachgebiete

• Sozialwissenschaften Politikwissenschaft Politische Systeme Verwaltungswissenschaft, Öffentliche Verwaltung
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Lehrerausbildung
• Sozialwissenschaften Politikwissenschaft Politikwissenschaft Allgemein Politische Theorie, Politische Philosophie

Inhaltsverzeichnis

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

Über Autor(innen)

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 and .