This wide-ranging book responds to and moves beyond recent debates about the relationship between feminism and politics to offer a vision for the future of feminist theory. Leading figures have combined to offer a broad framework through which to articulate a `new democracy' - one that transgresses the traditional oppositions of equality and difference, sex and gender, essential and constructed, to view the `political' as complex, layered and relational. Issues addressed include: gender, ethnicity, culture and sexual orientation, always embracing the multiple terrains and spaces produced by politics.
This is an examination of Pierre Bourdieu's theory of culture and habitus. Within the wider intellectual context of Bourdieu's work, this book provides a systematic reading of his assessment of the role of "culture capital" in the production and consumption of symbolic goods. Fowler outlines the key critical debates that inform Bourdieu's work: the roles of Marx, Lukacs and Goldmann; Benjamin's discussion of the sacred and the profane; and Foucalt's theory of discourses. She introduces Bourdieu's recent treatment of the rules of art, explains the importance of his concept of capital - economic and social, symbolic and cultural - and defines such key terms as habitus, practice and strategy, legitimate culture, popular art and distinction. The book focuses particularly on Bourdieu's account of the nature of capitalist modernity, on the emergence of bohemia and, with the growth of the market, the invention of the artist as the main historical response to the changed place of art.
This interpretation of nature and environmentalism: examines the destructive relationship between industrial society and nature; questions the utilitarian understanding of nature as an object through a careful analysis of symbolism, ritual and taboo; critically re-examines thinking on the environment; presents a cultural view of nature, which emphasizes how our relation with nature is socially mediated; offers a radical re-interpretation of the relation between society, culture and nature; and explains how environmentalism, and the social construction of nature, is a key index of social order and structure.
This book of worked-out examples not only accompanies Timothy M Hagle's earlier book Basic Math for Social Scientists: Concepts but also provides an informal refresher course in algebra sets, limits and continuity, differential calculus, multivariate functions, partial derivatives, integral calculus and matrix algebra. Problem sets are also provided so that readers can practice their grasp of standard mathematical procedures.
This book provides an introduction to the re gression models needed, where an outcome variable for a samp le is not representative of the population from which a gene ralized result is sought. '
What is chaos? How can it be measured? How are the models estimated? What is catastrophe? How is it modelled? How are the models estimated? These questions are the focus of this volume. Beginning with an explanation of the differences between deterministic and probabilistic models, Brown then introduces the reader to chaotic dynamics. Other topics covered are finding settings in which chaos can be measured, estimating chaos using nonlinear least squares and specifying catastrophe models. Finally a nonlinear system of equations that models catastrophe using real survey data is estimated.
Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests. In addition, it covers such topics as: joint stationarity; testing for cointegration; testing for causality; and model order and forecast accuracy. Related models explained include transfer function, vector autoregression and error correction models.
Logit, Probit, and Other Generalized Linear Models
What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Futing Liao introduces a systematic way of interpreting commonly used probability models. Since much of what social scientists study is measured in noncontinuous ways and, therefore, cannot be analyzed using a classical regression model, it becomes necessary to model the likelihood that an event will occur. This book explores these models first by reviewing each probability model and then by presenting a systematic way for interpreting the results from each.
Blending the tenets of Marxist theory with many of the more traditional methods of social science, this accessible book is a brief introduction to the major ideas and scholars in the Analytical Marxist school. The author assesses the achievements, strengths and criticisms of the work of Elster, Roemer, Wright and others, examining their writings on class, the state, exploitation and revolution. The book explores the challenge to Marxist thought brought about by contemporary developments in Eastern Europe and suggests how the future of Marxism is shaped by these events.
