Causal Case Study Methods begins with the cohesive, logical foundationsfor small-n comparative methods, congruence methods, and processtracing, then delineate the distinctive types of causal relationshipsfor which each method is appropriate. Next, the authors providepractical instruction for deploying each of the methods individuallyand in combination. They walk the researcher through each stage ofthe research process, starting with issues of concept formation and theformulation of causal claims in ways that are compatible with case-basedresearch. They then develop guidelines for using Bayesian logic as a setof practical questions for translating empirical data into evidence thatmay or may not confirm causal inferences.
Widely acclaimed instructors, the authors draw upon their extensiveexperience at the graduate level in university classrooms, summer andwinter school courses, and professional workshops, around the globe.
Publisher: The University of Michigan Press
Number of pages: 416
Weight: 544 g
Dimensions: 229 x 152 x 33 mm