Case Studies and Causal Inference [electronic resource] : An Integrative Framework /
Rohlfing, I.author.
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.
Description based upon print version of record.
Cover; Half-Title; Title; Copyright; Dedication; Conetnts; 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 StepNotes; References; Index
Includes bibliographical references and index.
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.
Political science.
Teaching.
Public administration.
Political Science.
Teaching and Teacher Education.
Public Administration.
Science, Humanities and Social Sciences, multidisciplinary.