For over twenty years Charles C. Ragin has been at the forefront of the development of innovative methods for social scientists. In Redesigning Social Inquiry, he continues his campaign to revitalize the field, challenging major aspects of the conventional template for social science research while offering a clear alternative. Redesigning Social Inquiry provides a substantive critique of the standard approach to social research—namely, assessing the relative importance of causal variables drawn from competing theories. Instead, Ragin proposes the use of set-theoretic methods to find a middle path between quantitative and qualitative research. Through a series of contrasts between fuzzy-set analysis and conventional quantitative research, Ragin demonstrates the capacity for set-theoretic methods to strengthen connections between qualitative researchers’ deep knowledge of their cases and quantitative researchers’ elaboration of cross-case patterns. Packed with useful examples, Redesigning Social Inquiry will be indispensable to experienced professionals and to budding scholars about to embark on their first project.
Charles C. Ragin’s The Comparative Method proposes a synthetic strategy, based on an application of Boolean algebra, that combines the strengths of both qualitative and quantitative sociology. Elegantly accessible and germane to the work of all the social sciences, and now updated with a new introduction, this book will continue to garner interest, debate, and praise.
The updated Third Edition of this innovative text shows the unity within the diversity of activities called social research to help students understand how all social researchers construct representations of social life using theories, systematic data collection, and careful examination of that data. The book tackles questions like "What is social research?", "How does it differ from journalism, documentary film-making, or laboratory research in the natural sciences?", and "What is the researcher′s obligation to those he or she is studying?" Updated throughout with new references and examples, this edition is designed to evoke challenging questions regarding the nature of representation and the ethical challenges facing social scientific researchers. The text moves beyond standard research challenges to push readers to see the complex relationships among ethics, ideas, evidence, and outcomes.
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 techniques Demonstrates further inventive ways of using QCA techniques Provides 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 fsQCA Includes 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.
A free ebook version of this title is available through Luminos, University of California Press’s Open Access publishing program. Visit www.luminosoa.org to learn more. This book explores analytic induction, an approach to the analysis of cross-case evidence on qualitative outcomes that has deep roots in sociology. A popular research technique in the early decades of empirical sociology, analytic induction differs fundamentally as a method of social research from conventional variation-based approaches. In Analytic Induction for Social Research, Charles C. Ragin demonstrates that much is gained from systematizing analytic induction. The approach he introduces here offers a new template for conducting cross-case analysis and provides a new set of tools for answering common research questions that existing methods cannot address.
In this guidebook, we have a powerful contribution to social science methodology in a context where methodology is contested, and is therefore political: different methodologies can produce quite different results or findings using the same evidence. The evidence in Ragin and Fiss s book is survey data. Ragin s has developed for 25 years a way to bridge the case study method and the large n statistical study. He calls it the set analytic method --making use of fuzzy sets to bridge the divide between quantitative and qualitative methods. Paradoxically, the fuzzy set is a powerful tool because it replaces an unwieldy, "fuzzy" instrumentthe variable, which establishes only the positions of cases relative to each other, with a precise onedegree of membership in a well-defined set. Now, with Intersectional Inequality, Ragin and his coauthor, Peter Fiss, show how the method works in application to a very mainstream sociological research topic. That topic, the use of IQ and school achievement tests as predictors of life chances, is advanced here by viewing cases intersectionally, i.e., in terms of the different ways they combine causally relevant conditions. The specific controversy they take up is the famous Bell Curve book of Charles Murray and Richard Herrnstein which argued that IQ is influenced by both inherited and environmental factors. Controversy has gone on for 20 years over which variable has the strongest impact on life changes: education, or test scores, or family background. The centrality, now more than ever, of education to American social and economic policy, compels close re-examination of traditional methods (and the blind spots of the so-called net-effects approach). By use of this sophisticated qualitative comparative analysis, Ragin and Fiss underscore the importance of racial differences in addressing social inequality in America today.
Constructing Social Research answers the question: What is social science? Updated throughout with new references and examples, the Third Edition of this innovative text by Charles C. Ragin and Lisa M. Amoroso shows the unity within the diversity of activities called social research to help students understand how all social researchers construct representations of social life using theories, systematic data collection, and careful examination of that data.
For over twenty years Charles C. Ragin has been at the forefront of the development of innovative methods for social scientists. In Redesigning Social Inquiry, he continues his campaign to revitalize the field, challenging major aspects of the conventional template for social science research while offering a clear alternative. Redesigning Social Inquiry provides a substantive critique of the standard approach to social research—namely, assessing the relative importance of causal variables drawn from competing theories. Instead, Ragin proposes the use of set-theoretic methods to find a middle path between quantitative and qualitative research. Through a series of contrasts between fuzzy-set analysis and conventional quantitative research, Ragin demonstrates the capacity for set-theoretic methods to strengthen connections between qualitative researchers’ deep knowledge of their cases and quantitative researchers’ elaboration of cross-case patterns. Packed with useful examples, Redesigning Social Inquiry will be indispensable to experienced professionals and to budding scholars about to embark on their first project.
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 techniques Demonstrates further inventive ways of using QCA techniques Provides 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 fsQCA Includes 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.
In this guidebook, we have a powerful contribution to social science methodology in a context where methodology is contested, and is therefore political: different methodologies can produce quite different results or findings using the same evidence. The evidence in Ragin and Fiss s book is survey data. Ragin s has developed for 25 years a way to bridge the case study method and the large n statistical study. He calls it the set analytic method --making use of fuzzy sets to bridge the divide between quantitative and qualitative methods. Paradoxically, the fuzzy set is a powerful tool because it replaces an unwieldy, "fuzzy" instrumentthe variable, which establishes only the positions of cases relative to each other, with a precise onedegree of membership in a well-defined set. Now, with Intersectional Inequality, Ragin and his coauthor, Peter Fiss, show how the method works in application to a very mainstream sociological research topic. That topic, the use of IQ and school achievement tests as predictors of life chances, is advanced here by viewing cases intersectionally, i.e., in terms of the different ways they combine causally relevant conditions. The specific controversy they take up is the famous Bell Curve book of Charles Murray and Richard Herrnstein which argued that IQ is influenced by both inherited and environmental factors. Controversy has gone on for 20 years over which variable has the strongest impact on life changes: education, or test scores, or family background. The centrality, now more than ever, of education to American social and economic policy, compels close re-examination of traditional methods (and the blind spots of the so-called net-effects approach). By use of this sophisticated qualitative comparative analysis, Ragin and Fiss underscore the importance of racial differences in addressing social inequality in America today.
[The book] proposes a synthetic strategy, based on an application of Boolean algebra, that combines the strengths of both qualitative and quantitative sociology. [Publisher]
In this innovative approach to the practice of social scienceÇharles Ragin explores the use of fuzzy sets to bridge the divide between quantitive and qualitative methods. He argues that fuzzy sets allow a far richer dialogue between ideas and evidence in social research than previously possible.
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"--
Surveying the differing viewpoints and disciplinary approaches to using mixed methods, this volume helps readers explore the answers to a wide range of key questions in the field, including "Can using mixed methods offset the disadvantages that certain methods have by themselves?" "What criteria can a researcher use to select the best mixed methods design for his or her project?" and "What are the points of agreement and controversy regarding design issues in mixed methods research?" This breakthrough Second Edition, containing all new chapters, examines all aspects of mixed methods research across a variety of disciplines. Key Features • Covers all aspects of inquiry from conceptualizing research to selecting methods, analyzing and interpreting data, and reporting findings • Draws on the work of a mix of internationally recognized researchers as well as new and emerging researchers to provide a diversity of perspectives • Gives specific examples from a wide range of disciplines to help readers understand the issues and controversies in this evolving area • Presents rich material for discussion and new ideas for implementing mixed methods research to provide readers with a cutting-edge resource • Provides pedagogical tools such as learning objectives, discussion questions and exercises, and extensive cross referencing
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