Causal Case Study Methods: Foundations and Guidelines for Comparing, Matching, and Tracing

Derek Beach

ISBN 10: 0472053221 / ISBN 13: 9780472053223

Editore: University of Michigan Press, 2016

Riguardo questo articolo

In this comprehensive introduction to causal case study methods, Derek Beach, Rasmus Brun Pedersen, and their co-authors delineate the ontological and epistemological differences among these methods, offer suggestions for determining the appropriate methods for a given research project, and explain the step-by-step application of selected methods. Num Pages: 416 pages, 40 figures, 26 tables. BIC Classification: JNT. Category: (G) General (US: Trade). Dimension: 229 x 152 x 33. Weight in Grams: 544. . 2016. Paperback. . . . . Books ship from the US and Ireland.

Codice articolo V9780472053223

Dati bibliografici

• Titolo: Causal Case Study Methods: Foundations and Guidelines for Comparing, Matching, and Tracing
• Editore: University of Michigan Press
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 0472053221
• ISBN 13: 9780472053223
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

In this comprehensive reconstruction of causal case study methods, Derek Beach, Rasmus Brun Pedersen, and their coauthors delineate the ontological and epistemological differences among these methods, offer suggestions for determining the appropriate methods for a given research project, and explain the step-by-step application of selected methods.

Causal Case Study Methods begins with the cohesive, logical foundations for small-n comparative methods, congruence methods, and process tracing, then delineate the distinctive types of causal relationships for which each method is appropriate. Next, the authors provide practical instruction for deploying each of the methods individually and in combination. They walk the researcher through each stage of the research process, starting with issues of concept formation and the formulation of causal claims in ways that are compatible with case-based research. They then develop guidelines for using Bayesian logic as a set of practical questions for translating empirical data into evidence that may or may not confirm causal inferences.

Widely acclaimed instructors, the authors draw upon their extensive experience at the graduate level in university classrooms, summer and winter school courses, and professional workshops, around the globe.

Informazioni sull?autore

Derek Beach is Associate Professor of Political Science at Aarhus University.

Rasmus Brun Pedersen is Associate Professor of Political Science at Aarhus University.