Rethinking Social Inquiry

With innovative new chapters on process tracing, regression analysis, and natural experiments, the second edition of Rethinking Social Inquiry further extends the reach of this path-breaking book. The original debate with King, Keohane, and Verba_now updated_remains central to the volume, and the new material illuminates evolving discussions of essential methodological tools. Thus, process tracing is often invoked as fundamental to qualitative analysis, but is rarely applied with precision. Pitfalls of regression analysis are sometimes noted, but often are inadequately examined. And the complex assumptions and trade-offs of natural experiments are poorly understood. The second edition extends the methodological horizon through exploring these critical tools. A distinctive feature of this edition is the online placement of four chapters from the prior edition, all focused on the dialogue with King, Keohane, and Verba. Also posted online are exercises for teaching process tracing and understanding process tracing.

With innovative new chapters on process tracing, regression analysis, and natural experiments, the second edition of Rethinking Social Inquiry further extends the reach of this path-breaking book. The original debate with King, Keohane, and Verba remains central to the volume, and the new material illuminates evolving discussions of essential methodological tools. Thus, process tracing is often invoked as fundamental to qualitative analysis, but is rarely applied with precision. Pitfalls of regression analysis are sometimes noted, but often are inadequately examined. And the complex assumptions and trade-offs of natural experiments are poorly understood. The second edition extends the methodological horizon through exploring these critical tools. A distinctive feature of this edition is the online placement of four chapters from the prior edition, all focused on the dialogue with King, Keohane, and Verba. Also posted online are exercises for teaching process tracing and understanding process tracing.

Designing Social Inquiry focuses on improving qualitative research, where numerical measurement is either impossible or undesirable. What are the right questions to ask? How should you define and make inferences about causal effects? How can you avoid bias? How many cases do you need, and how should they be selected? What are the consequences of unavoidable problems in qualitative research, such as measurement error, incomplete information, or omitted variables? What are proper ways to estimate and report the uncertainty of your conclusions?

Brings together chapters from more than a dozen leading methods scholars to revolutionize qualitative research design. Provides novel strategies for conducting comparative political research beyond the controlled comparisons typically taught in graduate methods courses.

How can we better understand the past, present and future of Social Action through Music (SATM)? This ground-breaking book examines the development of the Red de Escuelas de Música de Medellín (the Network of Music Schools of Medellín), a network of 27 schools founded in Colombia’s second city in 1996 as a response to its reputation as the most dangerous city on Earth. Inspired by El Sistema, the foundational Venezuelan music education program, the Red is nonetheless markedly different: its history is one of multiple reinventions and a continual search to improve its educational offering and better realise its social goals. Its internal reflections and attempts at transformation shed valuable light on the past, present, and future of SATM. Based on a year of intensive fieldwork in Colombia and written by Geoffrey Baker, the author of El Sistema: Orchestrating Venezuela’s Youth (2014), this important volume offers fresh insights on SATM and its evolution both in scholarship and in practice. It will be of interest to a very varied readership: employees and leaders of SATM programs; music educators; funders and policy-makers; and students and scholars of SATM, music education, ethnomusicology, and other related fields.

“This is an excellent addition to the literature of integrated methodology. The author has skillfully integrated diverse ways of thinking about mixed methods into a comprehensive and meaningful framework. By providing detailed examples, she makes it easy for both the students and the practitioners to understand the intricate details and complexities of doing mixed methods research. On the other hand, by comparing, contrasting, and bridging multiple perspectives about mixed methods, she has made this book very relevant and useful to seasoned scholars of mixed methodology.”--Abbas Tashakkori, Frost Professor and coordinator, educational research and evaluation methodology, Department of Educational and Psychological Studies, Florida International University, founding coeditor, Journal of Mixed Methods Research

Fairfield and Charman provide a modern, rigorous and intuitive methodology for case-study research to help social scientists and analysts make better inferences from qualitative evidence. The book develops concrete guidelines for conducting inference to best explanation given incomplete information; no previous exposure to Bayesian analysis or specialized mathematical skills are needed. Topics covered include constructing rival hypotheses that are neither too simple nor overly complex, assessing the inferential weight of evidence, counteracting cognitive biases, selecting cases, and iterating between theory development, data collection, and analysis. Extensive worked examples apply Bayesian guidelines, showcasing both exemplars of intuitive Bayesian reasoning and departures from Bayesian principles in published case studies drawn from process-tracing, comparative, and multimethod research. Beyond improving inference and analytic transparency, an overarching goal of this book is to revalue qualitative research and place it on more equal footing with respect to quantitative and experimental traditions by illustrating that Bayesianism provides a universally applicable inferential framework.