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Case Studies and Causal Inference
ISBN-13:
9781137271327
Veröffentl:
2012
Seiten:
257
Autor:
I. Rohlfing
Serie:
ECPR Research Methods
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
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.
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
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