Benoit Rihoux - Böcker

Innovative Comparative Methods for Policy Analysis aims to provide a decisive push to the further development and application of innovative and specific comparative methods for the improvement of policy analysis. To take on this challenge, this volume brings together methodologists and specialists from a broad range of social scientific disciplines and policy fields.The work further develops methods for systematic comparative cases analysis in a small-N research design, with a key emphasis laid on policy-oriented applications. Innovative Comparative Methods for Policy Analysis is clearly both a social scientific and policy-driven endeavor; on the one hand, the book engages in an effort to further improve social scientific methods, but on the other hand this effort also intends to provide useful, applied tools for policy analysts and the "policy community" alike. Though quite a variety of methods and techniques are touched upon in this volume, its focus is mainly laid on two recently developed research methods/techniques which enable researchers to systematically compare a limited number of cases; Qualitative Comparative Analysis(QCA) and Fuzzy-Sets (FS).

Configurational Comparative Methods paves the way for an innovative approach to empirical scientific work through a strategy that integrates key strengths of both qualitative (case-oriented) and quantitative (variable-oriented) approaches. This first-of-its-kind text is ideally suited for "small-N" or "intermediate-N" research situations, which both mainstream qualitative and quantitative methods find difficult to address. Benoît Rihoux and Charles C. Ragin, along with their contributing authors, offer both a basic, comparative research design overview and a technical and hands-on review of Crisp-Set QCA (csQCA), Multi-Value QCA (mvQCA), and Fuzzy-Set QCA (fsQCA).

Key Features

Discusses existing applications in many different fields and disciplines along with state-of-the-art coverage of the strengths and limitations of these techniquesDemonstrates further inventive ways of using QCA techniquesProvides advice on how to develop a comparative research design (case and variable selection) as well as a specific technique called MSDO/MDSO (most similar, different outcome/most different, same outcome).Shows how to perform the technical operations linked to three specific QCA techniques: csQCA, mvQCA, and fsQCAIncludes a glossary, an extensive bibliography, and a detailed list of good practices at every stage of the research process

Intended Audience

A must for any student or researcher who wants to engage in systematic cross-case comparison in the social and behavioral sciences, the book is ideal for use in upper-level undergraduate and graduate-level social science research methods courses.