Case studies and causal inference: an integrative framework

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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."--Publisher's website

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Title Statements

Full title :Case studies and causal inference : an integrative framework / Ingo Rohlfing

Summary

Edition Statements

Publication Date:2012

Publication Statements

Publisher(s):Palgrave Macmillan
Place of Publication:Houndmills, Basingstoke, Hampshire
Language:eng
Publication Date:2012

Notes

60001685714

The Physical Object

Description:xiii, 257 pages : : illustrations ; : 23 cm

Edition Identifiers

ISBN:0230240704, 9780230240704
oclc:ocn900423433
LC Classification:H61
Dewey Decimal:300.1

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