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Ingo Rohlfing - Case Studies and Causal Inference: An Integrative Framework (Research Methods) - 9780230240704 - V9780230240704
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Case Studies and Causal Inference: An Integrative Framework (Research Methods)

€ 161.01
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Description for Case Studies and Causal Inference: An Integrative Framework (Research Methods) Hardcover. 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. Series: ECPR Research Methods. Num Pages: 270 pages, biography. BIC Classification: GPS; JHBC; JPA. Category: (P) Professional & Vocational. Dimension: 224 x 151 x 20. Weight in Grams: 468.
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.

Product Details

Format
Hardback
Publication date
2012
Publisher
Palgrave Macmillan
Number of pages
272
Condition
New
Series
ECPR Research Methods
Number of Pages
257
Place of Publication
Basingstoke, United Kingdom
ISBN
9780230240704
SKU
V9780230240704
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Ingo Rohlfing
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 for Case Studies and Causal Inference: An Integrative Framework (Research Methods)
'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 ... Read more

Goodreads reviews for Case Studies and Causal Inference: An Integrative Framework (Research Methods)


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