Social Structures is a book that examines how structural forms spontaneously arise from social relationships. Offering major insights into the building blocks of social life, it identifies which locally emergent structures have the capacity to grow into larger ones and shows how structural tendencies associated with smaller structures shape and constrain patterns of larger structures. The book then investigates the role such structures have played in the emergence of the modern nation-state. Bringing together the latest findings in sociology, anthropology, political science, and history, John Levi Martin traces how sets of interpersonal relationships become ordered in different ways to form structures. He looks at a range of social structures, from smaller ones like families and street gangs to larger ones such as communes and, ultimately, nation-states. He finds that the relationships best suited to forming larger structures are those that thrive in conditions of inequality; that are incomplete and as sparse as possible, and thereby avoid the problem of completion in which interacting members are required to establish too many relationships; and that abhor transitivity rather than assuming it. Social Structures argues that these "patronage" relationships, which often serve as means of loose coordination in the absence of strong states, are nevertheless the scaffolding of the social structures most distinctive to the modern state, namely the command army and the political party.
Sociological research is hard enough already—you don’t need to make it even harder by smashing about like a bull in a china shop, not knowing what you’re doing or where you’re heading. Or so says John Levi Martin in this witty, insightful, and desperately needed primer on how to practice rigorous social science. Thinking Through Methods focuses on the practical decisions that you will need to make as a researcher—where the data you are working with comes from and how that data relates to all the possible data you could have gathered. This is a user’s guide to sociological research, designed to be used at both the undergraduate and graduate level. Rather than offer mechanical rules and applications, Martin chooses instead to team up with the reader to think through and with methods. He acknowledges that we are human beings—and thus prone to the same cognitive limitations and distortions found in subjects—and proposes ways to compensate for these limitations. Martin also forcefully argues for principled symmetry, contending that bad ethics makes for bad research, and vice versa. Thinking Through Methods is a landmark work—one that students will turn to again and again throughout the course of their sociological research.
Why questions? What explanations? -- Causality and persons -- Authority and experience -- The grid of perception -- Action in and on a world -- A social aesthetics -- Valence and habit -- Fields and games -- Explanations explained.
Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work, and one that makes a strong case for revising the way that we try to use statistics to support our theories. But don’t let that daunt you. With clever examples and witty takeaways, John Levi Martin proves himself to be a most affable tour guide through these scholarly waters. Martin argues that the task of social statistics isn't to estimate parameters, but to reject false theory. He illustrates common pitfalls that can keep researchers from doing just that using a combination of visualizations, re-analyses, and simulations. Thinking Through Statistics gives social science practitioners accessible insight into troves of wisdom that would normally have to be earned through arduous trial and error, and it does so with a lighthearted approach that ensures this field guide is anything but stodgy.
This thought-provoking and ambitious book is a sustained critique of the conventional understanding of what it means to "explain" something in the social sciences. This paperback edition includes a new preface, in which Martin connects The Explanation of Social Action to deep neural networks that are important to the study of artificial intelligence and to the development of computational social science.
Social Structures is a book that examines how structural forms spontaneously arise from social relationships. Offering major insights into the building blocks of social life, it identifies which locally emergent structures have the capacity to grow into larger ones and shows how structural tendencies associated with smaller structures shape and constrain patterns of larger structures. The book then investigates the role such structures have played in the emergence of the modern nation-state. Bringing together the latest findings in sociology, anthropology, political science, and history, John Levi Martin traces how sets of interpersonal relationships become ordered in different ways to form structures. He looks at a range of social structures, from smaller ones like families and street gangs to larger ones such as communes and, ultimately, nation-states. He finds that the relationships best suited to forming larger structures are those that thrive in conditions of inequality; that are incomplete and as sparse as possible, and thereby avoid the problem of completion in which interacting members are required to establish too many relationships; and that abhor transitivity rather than assuming it. Social Structures argues that these "patronage" relationships, which often serve as means of loose coordination in the absence of strong states, are nevertheless the scaffolding of the social structures most distinctive to the modern state, namely the command army and the political party.
Why questions? What explanations? -- Causality and persons -- Authority and experience -- The grid of perception -- Action in and on a world -- A social aesthetics -- Valence and habit -- Fields and games -- Explanations explained.
Sharpen your tools -- How to formulate a question -- How do you choose a site? -- Talking to people -- Hanging out -- Ethics in research -- Comparing -- Dealing with documents -- Interpreting it and writing it up
A unique analysis that looks at the true motivation of Trump supporters. The Authoritarian Personality, which was published by Theordor Adorno and a set of colleagues in the 1950s, was the first broad-based empirical attempt to explain why certain individuals are attracted to the authoritarian, even fascist, leaders that dominated the political scene in the 1930s and 1940s. Today, the concept has been applied to leaders ranging from Trump to Viktor Orban to Rodrigo Duterte. But is it really accurate to label Trump supporters as authoritarians? In The Securitarian Personality, John R. Hibbing argues that an intense desire for authority is not central to those constituting Trump's base. Drawing from participant observation, focus groups, and especially an original, nationwide survey of the American public that included over 1,000 ardent Trump supporters, Hibbing demonstrates that what Trump's base really craves is actually a specific form of security. Trump supporters do not strive for security in the face of all threats, such as climate change, Covid-19, and economic inequality, but rather only from those threats they perceive to be emanating from human outsiders, defined broadly to include welfare cheats, unpatriotic athletes, norm violators, non-English speakers, religious and racial minorities, and certainly people from other countries. The central objective of these "securitarians" is to strive for protection for themselves, their families, and their dominant cultural group from these embodied outsider threats. A radical reinterpretation of the support for Trumpism, The Securitarian Personality not only provides insight into a political movement that many find baffling and frustrating, but offers a compelling thesis that all observers of American political behavior will have to contend with, even if they disagree with it.
The book shows the falsity of the opposition between action and structure by setting out a sophisticated view of social structure at two levels. The figurational structures of interaction orders, mapped through methods of social network analysis, can be seen as partitioned by underlying formational structures such as class and gender.
Social scientists seek to develop systematic ways to understand how people make meaning and how the meanings they make shape them and the world in which they live. But how do we measure such processes? Measuring Culture is an essential point of entry for both those new to the field and those who are deeply immersed in the measurement of meaning. Written collectively by a team of leading qualitative and quantitative sociologists of culture, the book considers three common subjects of measurement—people, objects, and relationships—and then discusses how to pivot effectively between subjects and methods. Measuring Culture takes the reader on a tour of the state of the art in measuring meaning, from discussions of neuroscience to computational social science. It provides both the definitive introduction to the sociological literature on culture as well as a critical set of case studies for methods courses across the social sciences.
Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.
Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work, and one that makes a strong case for revising the way that we try to use statistics to support our theories. But don’t let that daunt you. With clever examples and witty takeaways, John Levi Martin proves himself to be a most affable tour guide through these scholarly waters. Martin argues that the task of social statistics isn't to estimate parameters, but to reject false theory. He illustrates common pitfalls that can keep researchers from doing just that using a combination of visualizations, re-analyses, and simulations. Thinking Through Statistics gives social science practitioners accessible insight into troves of wisdom that would normally have to be earned through arduous trial and error, and it does so with a lighthearted approach that ensures this field guide is anything but stodgy.
This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come.
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