Analytic induction for social research / Charles C. Ragin

Includes bibliographical references and index

Classic analytic induction -- Reconciling disconfirming cases -- Explaining variation vs explaining outcomes -- The uses of 'negative cases' in social research -- Classic vs generalized analytic induction -- The interpretive logic of generalized analytic induction -- Generalized analytic induction, a step-by-step guide -- Using generalized AI to re-analyze Jocelyn Viterna's study of women's mobilization in the Salvadoran Guerrilla Army -- Applying generalized AI to conventional quantitative data -- Core features of generalized analytic induction

"Analytic Induction (AI) focuses on a select set of cases displaying the same outcome and seeks to identify antecedent conditions shared by such cases. Shared antecedent conditions, in turn, may be interpreted as "causal recipes" for the outcome, especially when they make sense as jointly contributing conditions. As a method of social research, AI differs fundamentally from conventional, variation-based approaches. AI's outcome is a constant; the set of cases selected for analysis all display the same outcome. Conventional variable-oriented research, by contrast, is centered on the task of accounting for variation in a dependent variable. The approach introduced in this book offers an array of set-analytic tools for answering research questions regarding qualitative outcomes and provides a new template for cross-case analysis"-- Provided by publisher