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.
Covers the latest methodologies and research on international comparative surveys with contributions from noted experts in the field Advances in Comparative Survey Methodology examines the most recent advances in methodology and operations as well as the technical developments in international survey research. With contributions from a panel of international experts, the text includes information on the use of Big Data in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques. This important resource: Contains contributions from key experts in their respective fields of study from around the globe Highlights innovative approaches in resource poor settings, and innovative approaches to combining survey and other data Includes material that is organized within the total survey error framework Presents extensive and up-to-date references throughout the book Written for students and academic survey researchers and market researchers engaged in comparative projects, this text represents a unique collaboration that features the latest methodologies and research on global comparative surveys.
Attitudes are evaluations of people, places, things, and ideas. They help us to navigate through a complex world. They provide guidance for decisions about which products to buy, how to travel to work, or where to go on vacation. They color our perceptions of others. Carefully crafted interventions can change attitudes and behavior. Yet, attitudes, beliefs, and behavior are often formed and changed in casual social exchanges. The mere perception that other people favor something, say, rich people, may be sufficient to make another person favor it. People’s own actions also influence their attitudes, such that they adjust to be more supportive of the actions. People’s belief systems even change to align with and support their preferences, which at its extreme is a form of denial for which people lack awareness. These two volumes provide authoritative, critical surveys of theory and research about attitudes, beliefs, persuasion, and behavior from key authors in these areas. The first volume covers theoretical notions about attitudes, the beliefs and behaviors to which they are linked, and the degree to which they are held outside of awareness. It also discusses motivational and cultural determinants of attitudes, influences of attitudes on behavior, and communication and persuasion. The second volume covers applications to measurement, behavior prediction, and interventions in the areas of cancer, HIV, substance use, diet, and exercise, as well as in politics, intergroup relations, aggression, migrations, advertising, accounting, education, and the environment.
An innovative and accessible guide to doing social research in the digital age The rapid spread of social media, smartphones, and other digital wonders enables us to collect and process data about human behavior on a scale never before imaginable, offering entirely new approaches to core questions about social behavior. Bit by Bit is the key to unlocking these powerful methods. In this authoritative and accessible book, Matthew Salganik explains how the digital revolution is transforming the way social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations. Featuring a wealth of real-world examples and invaluable advice on how to tackle the thorniest ethical challenges, Bit by Bit is the essential guide to doing social research in this fast-evolving digital age.
Stephen Turner has explored the ongms of social science in this pioneering study of two nineteenth century themes: the search for laws of human social behavior, and the accumulation and analysis of the facts of such behavior through statistical inquiry. The disputes were vigorously argued; they were over questions of method, criteria of explanation, interpretations of probability, understandings of causation as such and of historical causation in particular, and time and again over the ways of using a natural science model. From his careful elucidation of John Stuart Mill's proposals for the methodology of the social sciences on to his original analysis of the methodological claims and practices of Emile Durkheim and Max Weber, Turner has beautifully traced the conflict between statistical sociology and a science offactual description on the one side, and causal laws and a science of nomological explanation on the other. We see the works of Comte and Quetelet, the critical observations of Herschel, Buckle, Venn and Whewell, and the tough scepticism of Pearson, all of these as essential to the works of the classical founders of sociology. With Durkheim's essay on Suicide and Weber's monograph on The Protestant Ethic, Turner provides both philosophical analysis to demonstrate the continuing puzzles over cause and probability and also a perceptive and wry account of just how the puzzles of our late twentieth century are of a piece with theirs. The terms are still familiar: reasons vs.
Huff provides a rare, full-scale study of the origins and development of Max Weber's methodology which focusses on Weber's neglected early methodological essays that only recently have been translated into English. He explores Weber's writings in light of recent developments in "post-empiricist" philosophy of science, and shows that Weber was well aware of the epistemological foundations of the "descriptive psychology" school, whose intellectual heir was Husserl. It will help scholars and students understand in the broadest sense the issues central to the logic of social scientific explanation, and will appeal to philosophers, sociologists, political scientists as well as scholars of Weber.