The Meaning Of Social Science

Featuring over 1,800 concise definitions of key terms, the Dictionary of the Social Sciences is the most comprehensive, authoritative single-volume work of its kind. With coverage on the vocabularies of anthropology, sociology, political science, economics, human geography, cultural studies, and Marxism, the Dictionary is an integrated, easy-to-use, A-to-Z reference tool. Designed for students and non-specialists, it examines classic and contemporary scholarship including basic terms, concepts, theories, schools of thought, methodologies, issues, and controversies. As a true dictionary, it also contains concise, jargon-free definitions that explain the rich, sometimes complex language of these increasingly visible fields.

This book argues that we are currently witnessing not merely a decline in the quality of social science research, but the proliferation of meaningless research, of no value to society, and modest value to its authors - apart from securing employment and promotion. The explosion of published outputs, at least in social science, creates a noisy, cluttered environment which makes meaningful research difficult, as different voices compete to capture the limelight even briefly. Older, more significant contributions are easily neglected, as the premium is to write and publish, not read and learn. The result is a widespread cynicism among academics on the value of academic research, sometimes including their own. Publishing comes to be seen as a game of hits and misses, devoid of intrinsic meaning and value, and of no wider social uses whatsoever. Academics do research in order to get published, not to say something socially meaningful. This is what we view as the rise of nonsense in academic research, which represents a serious social problem. It undermines the very point of social science. This problem is far from 'academic'. It affects many areas of social and political life entailing extensive waste of resources and inflated student fees as well as costs to tax-payers. Part two of the book offers a range of proposals aimed at restoring meaning at the heart of social research and drawing social science back address the major problems and issues that face our societies.

Paul A Roth's book examines an important controversy in the philosophy of the social sciences that has developed since the demise of logical positivism and its conception of rationality. Roth contends that this controversy—a dispute over the canons of rationality—is the product of the mistaken belief in methodological exclusivism. Drawing on work in contemporary epistemology by W. V. O. Quine, Richard Rorty, and Paul Feyerabend, he argues that no single theory of human behavior has methodological priority; indeed, the existence of a plethora of theories for the study of human behavior, he believes, is an inevitable consequence of our epistemic situation.

This volume focuses on key conceptual issues in the social sciences, such as Winch's idea of a social science, structuralism, Malinowski and Evans-Pritchard, and the concept of kinship. In particular it deals with such problems as the relationship of nature and culture, the relevance of concepts drawn from within a given society to its understanding, and the relation of theory to time.

How the NSF became an important yet controversial patron for the social sciences, influencing debates over their scientific status and social relevance. In the early Cold War years, the U.S. government established the National Science Foundation (NSF), a civilian agency that soon became widely known for its dedication to supporting first-rate science. The agency's 1950 enabling legislation made no mention of the social sciences, although it included a vague reference to "other sciences." Nevertheless, as Mark Solovey shows in this book, the NSF also soon became a major--albeit controversial--source of public funding for them.

This introductory text presents basic principles of social science research through maps, graphs, and diagrams. The authors show how concept maps and mind maps can be used in quantitative, qualitative, and mixed methods research, using student-friendly examples and classroom-based activities. Integrating theory and practice, chapters show how to use these tools to plan research projects, "see" analysis strategies, and assist in the development and writing of research reports.