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The social sciences have seen a substantial increase in comparative and multisited ethnographic projects over the last three decades, yet field research often remains associated with small-scale, in-depth, and singular case studies. The growth of comparative ethnography underscores the need to carefully consider the process, logics, and consequences of comparison. This need is intensified by the fact that ethnography has long encompassed a wide range of traditions with different approaches toward comparative social science. At present, researchers seeking to design comparative field projects have many studies to emulate but few scholarly works detailing the process of comparison in divergent ethnographic approaches. Beyond the Case addresses this by showing how practitioners in contemporary iterations of traditions such as phenomenology, the extended case method, grounded theory, positivism, and interpretivism approach this in their works. It connects the long history of comparative (and anti-comparative) ethnographic approaches to their contemporary uses. Each chapter allows influential scholars to 1) unpack the methodological logics that shape how they use comparison; 2) connect these precepts to the concrete techniques they employ; and 3) articulate the utility of their approach. By honing in on how ethnographers render sites or cases analytically commensurable and comparable, these contributions offer a new lens for examining the assumptions, payoffs, and potential drawbacks of different forms of comparative ethnography. Beyond the Case provides a resource that allows both new and experienced ethnographers to critically evaluate the intellectual merits of various approaches and to strengthen their own research in the process.

Design and Analysis of Time Series Experiments develops a comprehensive set of models and methods for drawing causal inferences from time series. Example analyses of social, behavioral, and biomedical time series illustrate a general strategy for building AutoRegressive Integrated Moving Average (ARIMA) impact models. The classic Box-Jenkins-Tiao model-building strategy is supplemented with recent auxiliary tests for transformation, differencing, and model selection. The validity of causal inferences is approached from two complementary directions. The four-validity system of Cook and Campbell relies on ruling out discrete threats to statistical conclusion, internal, construct, and external validity. The Rubin system causal model relies on the identification of counterfactual time series. The two approaches to causal validity are shown to be complementary and are illustrated with a construction of a synthetic control time series. Example analyses make optimal use of graphical illustrations. Mathematical methods used in the example analyses are explicated in technical appendices, including expectation algebra, sequences and series, maximum likelihood, Box-Cox transformation analyses and probability.

Qualitative interviewing is one of the most widely used methods in social research, but it is arguably the least well understood. To address that gap, this book offers a theoretically rigorous, empirically rich, and user-friendly set of strategies for conceiving and conducting interview-based research. Much more than a how-to manual, the book shows why depth interviewing is an indispensable method for discovering and explaining the social world—shedding light on the hidden patterns and dynamics that take place within institutions, social contexts, relationships, and individual experiences. It offers a step-by-step guide through every stage in the research process, from initially formulating a question to developing arguments and presenting the results. To do this, the book shows how to develop a research question, decide on and find an appropriate sample, construct an interview guide, conduct probing and theoretically focused interviews, and systematically analyze the complex material that depth interviews provide—all in the service of finding and presenting important new empirical discoveries and theoretical insights. The book also lays out the ever-present but rarely discussed challenges that interviewers routinely encounter and then presents grounded, thoughtful ways to respond to them. By addressing the most heated debates about the scientific status of qualitative methods, the book demonstrates how depth interviewing makes unique and essential contributions to the research enterprise. With an emphasis on the integral relationship between carefully crafted research and theory building, the book offers a compelling vision for what the “interviewing imagination” can and should be.