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Uniquely amongst the numerous publications to appear on the work of the French social theorist Pierre Bourdieu, this book deals with data analysis, examining a range of techniques and instruments. After an introductory chapter outlining the key principles of Bourdieu's theory, the book presents detailed examples of data being collected and analysed in a Bourdieusian way across various social science contexts. Both qualitative and quantitative methods are addressed, including analysis of the strengths and weaknesses of each method, as are common data collection procedures such as interview, observation and questionnaire. Examples of Multiple Correspondence Analysis are an important feature of the book, since this was an approach particularly favoured by Bourdieu. In each case study, the pros and cons of different approaches are highlighted and the qualitative/quantitative debate is thoroughly explored. Overall, the book offers readers a blueprint to develop their own methodological plans for using Bourdieu in research practice.
Pierre Bourdieu’s contributions to the theory and practice of social research are far reaching. Possibly the most prominent sociologist in recent times, his work has touched on a myriad of topics and has influenced scholars in multiple disciplines. Throughout Bourdieu’s work, emphasis is placed on the linkage between the practice of social research and its relationship to social theory. This book honours Bourdieu’s commitment to the inextricable relationship between social theory and research in social science. In this volume, authors from all over the world utilize key concepts coined by Bourdieu, specifically his concept of capitals, habitus, and the field, and attempt to test them using quantitative survey data. The focus of this volume is how researchers can take key elements of Bourdieu’s work and apply them to the analysis of quantitative data on a variety of topics. Throughout the volume, issues of the possible interpretations of concepts and measurement validity are focused upon in a language that can be appreciated by new and experienced researchers alike. This volume is useful for courses where the linkage between theory and research is emphasized, at both the upper undergraduate and general postgraduate level. In addition to serving as a teaching tool, the articles within the volume will be invaluable to any scholar interested in working with Bourdieu’s concepts in quantitative research.
Pierre Bourdieu was one of the most influential social thinkers of the past half-century, known for both his theoretical and methodological contributions and his wide-ranging empirical investigations into colonial power in Algeria, the educational system in France, the forms of state power, and the history of artistic and scientific fields-among many other topics. Despite the depth and breadth of his influence, however, Bourdieu's legacy has yet to be assessed in a comprehensive manner. The Oxford Handbook of Pierre Bourdieu fills this gap by offering a sweeping overview of Bourdieu's impact on the social sciences and humanities. Thomas Medvetz and Jeffrey J. Sallaz have gathered a diverse array of leading scholars who place Bourdieu's work in the wider scope of intellectual history, trace the development of his thought, offer original interpretations and critical engagement, and discuss the likely impact of his ideas on future social research. The Handbook highlights Bourdieu's contributions to established areas of research-including the study of markets, the law, cultural production, and politics-and illustrates how his concepts have generated new fields and objects of study.
Bourdieu and Historical Analysis explores the usefulness of Pierre Bourdieus thought for analyzing not only the reproduction of social structures but also large-scale sociohistorical change.
This collection brings together for the first time a set of researchers whose research methodologies centre on Bourdieu's concept of habitus. Full of insight and innovation, the book is an essential read for anyone wanting to know more about approaches to social theory and its application in research.
Geometric Data Analysis (GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by Benzécri as Correspondence Analysis, an approach that has become more and more used and appreciated over the years. This book presents the full formalization of GDA in terms of linear algebra - the most original and far-reaching consequential feature of the approach - and shows also how to integrate the standard statistical tools such as Analysis of Variance, including Bayesian methods. Chapter 9, Research Case Studies, is nearly a book in itself; it presents the methodology in action on three extensive applications, one for medicine, one from political science, and one from education (data borrowed from the Stanford computer-based Educational Program for Gifted Youth ). Thus the readership of the book concerns both mathematicians interested in the applications of mathematics, and researchers willing to master an exceptionally powerful approach of statistical data analysis.
Few themes have been as central to sociology as 'class' and yet class remains a perpetually contested idea. Sociologists disagree not only on how best to define the concept of class but on its general role in social theory and indeed on its continued relevance to the sociological analysis of contemporary society. Some people believe that classes have largely dissolved in contemporary societies; others believe class remains one of the fundamental forms of social inequality and social power. Some see class as a narrow economic phenomenon whilst others adopt an expansive conception that includes cultural dimensions as well as economic conditions. This 2005 book explores the theoretical foundations of six major perspectives of class with each chapter written by an expert in the field. It concludes with a conceptual map of these alternative approaches by posing the question: 'If class is the answer, what is the question?'
This book provides an in-depth view on Bourdieu’s empirical work, thereby specially focusing on the construction of the social space and including the concept of the habitus. Themes described in the book include amongst others: • the theory and methodology for the construction of “social spaces”, • the relation between various “fields” and “the field of power”, • formal construction and empirical observation of habitus, • the formation, accumulation, differentiation of and conversion between different forms of capital, • relations in geometric data analysis. The book also includes contributions regarding particular applications of Bourdieu’s methodology to traditional and new areas of research, such as the analysis of institutional, international and transnational fields. It further provides a systematic introduction into the empirical construction of the social space.
Over the past four decades, French sociologist Pierre Bourdieu produced one of the most imaginative and subtle bodies of social theory of the postwar era. When he died in 2002, he was considered to be the most influential sociologist in the world and a thinker on a par with Foucault and Levi-Strauss - a public intellectual as important to his generation as Sartre was to his. Sketch for a Self-Analysis is the ultimate outcome of Bourdieu's lifelong preoccupation with reflexivity. Vehemently not an autobiography, this unique book is instead an application of Bourdieu's theories to his own life and intellectual trajectory; along the way it offers compelling and intimate insights into the most important French intellectuals of the time - including Foucault, Sartre, Aron, Althusser, and de Beauvoir - as well as Bourdieu's own formative experiences at boarding school and his moral outrage at the colonial war in Algeria.
Multiple correspondence analysis (MCA) is a statistical technique that first and foremost has become known through the work of the late Pierre Bourdieu (1930–2002). This book will introduce readers to the fundamental properties, procedures and rules of interpretation of the most commonly used forms of correspondence analysis. The book is written as a non-technical introduction, intended for the advanced undergraduate level and onwards. MCA represents and models data sets as clouds of points in a multidimensional Euclidean space. The interpretation of the data is based on these clouds of points. In seven chapters, this non-technical book will provide the reader with a comprehensive introduction and the needed knowledge to do analyses on his/her own: CA, MCA, specific MCA, the integration of MCA and variance analysis, of MCA and ascending hierarchical cluster analysis and class-specific MCA on subgroups. Special attention will be given to the construction of social spaces, to the construction of typologies and to group internal oppositions. This is a book on data analysis for the social sciences rather than a book on statistics. The main emphasis is on how to apply MCA to the analysis of practical research questions. It does not require a solid understanding of statistics and/or mathematics, and provides the reader with the needed knowledge to do analyses on his/her own.