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. Benoit 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.
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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. Benoit 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.
"
Imprint | Sage Publications Ltd |
Country of origin | United States |
Series | Applied Social Research Methods |
Release date | September 2008 |
Availability | Expected to ship within 12 - 17 working days |
First published | August 2008 |
Authors | Benoit Rihoux, Charles C. Ragin |
Dimensions | 215 x 139 x 13mm (L x W x T) |
Format | Paperback |
Pages | 240 |
ISBN-13 | 978-1-4129-4235-5 |
Barcode | 9781412942355 |
Categories | |
LSN | 1-4129-4235-7 |