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Social Science: An Introduction to the Study of Society 16e approaches social science from a common-sense perspective, rather than from a conventional social science angle. Readers will see how seemingly diverse disciplines intermingle – anthropology and economics, for example. The goal of the book is to teach students critical thought and problem solving skills that will allow them to approach social issues in an unbiased manner. New to this edition are significant updates on: Race and the police More comparison/contrasts of deviance and criminality Alternative pathways in criminal justice new technology such as self-driving cars Gay marriage American political dynasties Refugee and immigration issues in Europe & globally American political dynasties China’s growing power New trade initiatives "States" in the Middle East Nuclear arms control​ Expanded web-based ancillaries for students and teachers
Professor Little presents an introduction to the philosophy of social science with an emphasis on the central forms of explanation in social science: rational-intentional, causal, functional, structural, materialist, statistical and interpretive. The book is very strong on recent developments, particularly in its treatment of rational choice theory, microfoundations for social explanation, the idea of supervenience, functionalism, and current discussions of relativism.Of special interest is Professor Little's insight that, like the philosophy of natural science, the philosophy of social science can profit from examining actual scientific examples. Throughout the book, philosophical theory is integrated with recent empirical work on both agrarian and industrial society drawn from political science, sociology, geography, anthropology, and economics.Clearly written and well structured, this text provides the logical and conceptual tools necessary for dealing with the debates at the cutting edge of contemporary philosophy of social science. It will prove indispensible for philosophers, social scientists and their students.
Now in its seventeenth edition, Social Science: An Introduction to the Study of Society approaches its study from a common-sense perspective, rather than a formalistic perspective more common in social science. Readers will see how seemingly diverse disciplines intermingle and connect to one another – anthropology and economics, for example. The goal of the book is to teach students critical thinking and problem-solving skills that will allow them to approach social issues in an objective and informed way. New to this edition are significant updates on: The election of Donald Trump and the emergence of related populist movements Trade policy and health care Issues involving migration and immigration Emerging developments in artificial intelligence Comparisons between cultural and biological evolution Examples, data, recommended readings, and internet questions
"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--
Designed as a basic text for an introductory, interdisciplinary social science course. This text introduces students to central concepts in anthropology, sociology, economics, psychology, political science, and history. The text focuses these perspectives on a central integrative theme and interdisciplinary viewpoint-the nature and uses of power in society. POWER AND SOCIETY introduces students to some of the central challenges facing American society; for example, ideological conflict, racism and sexism, poverty and powerlessness, crime and violence, community problems, and international relations. Focusing on controversy stimulates students' interest and appreciation for social sciences.
What is a model? How do you construct one? What are some common models in the social sciences? How can models be applied in new situations? What makes a model good? Focusing on answers to these and related questions, this multidisciplinary introduction to model building in the social sciences formulates interesting problems that involve students in creative model building and the process of invention. The book describes models of individual choice, exchange, adaptation, and diffusion. Throughout, student participation in analytical thinking is encouraged. Originally published in 1975 by HarperCollins Publishers.
Employing the central integrative theme of power, POWER AND SOCIETY, Thirteenth Edition introduces readers to each of the social sciences and demonstrates how they differ in their focus and methods. It also presents an interdisciplinary viewpoint to illustrate the nature and uses of power in society. This compelling book will stimulate readers' interest in the social sciences as it explores some of the central challenges facing American society; for example, ideological conflict, racism and sexism, poverty and powerlessness, crime and violence, community problems, and international relations. Available with InfoTrac Student Collections http://gocengage.com/infotrac. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Is social science really a science at all, and if so in what sense? This is the first question that any course on the philosophy of the social sciences must tackle. In this brief introduction, Malcolm Williams gives students the grounding that will enable them to discuss the issues involved with confidence. He looks at: * The historical development of natural science and its distinctive methodology * the case in favour of an objective science of the social which follows the same rules * The arguments of social constructionists, interpretative sociologists and others against objectivity and even science itself * recent developments in natural science - for instance the rise of complexity theory and the increased questioning of positivism - which bring it closer to some of the key arguments of social science. Throughout, the book is illustrated with short clear examples taken from the actual practice of social science research and from popular works of natural science which will illuminate the debate for all students whatever their background.
Without assuming any scientific background, Bucchi provides clear summaries of all the major theoretical positions within the sociology of science, using many fascinating examples to illustrate them.
This reader-friendly textbook is the first work of its kind to provide a unified Introduction to Computational Social Science (CSS). Four distinct methodological approaches are examined in detail, namely automated social information extraction, social network analysis, social complexity theory and social simulation modeling. The coverage of these approaches is supported by a discussion of the historical context, as well as by a list of texts for further reading. Features: highlights the main theories of the CSS paradigm as causal explanatory frameworks that shed new light on the nature of human and social dynamics; explains how to distinguish and analyze the different levels of analysis of social complexity using computational approaches; discusses a number of methodological tools; presents the main classes of entities, objects and relations common to the computational analysis of social complexity; examines the interdisciplinary integration of knowledge in the context of social phenomena.