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Requiring no prior knowledge of correspondence analysis, this text provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) as a method in its own right. The authors, Brigitte LeRoux and Henry Rouanet, present thematerial in a practical manner, keeping the needs of researchers foremost in mind. Key Features Readers learn how to construct geometric spaces from relevant data, formulate questions of interest, and link statistical interpretation to geometric representations. They also learn how to perform structured data analysis and to draw inferential conclusions from MCA. The text uses real examples to help explain concepts. The authors stress the distinctive capacity of MCA to handle full-scale research studies. This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as for individual researchers.
Trust, as Simmel noted, is a hypothesis regarding future behavior that is certain enough to serve as a basis for practical conduct. To trust another person (or collectivity or institution) is intermediate between knowledge and ignorance. Simmel was one of many social scientists (e.g., Tonnies, Durkheim, Parsons) who have contended that trust is one of the most important integrative forces within society. Modernization and its attendant social isolation, in the face of massive global changes, underscore the need to reexamine trust in all its multivariate and multidisciplinary character. This anthology presents twelve studies of trust. Some are conceptual, theoretical analyses, while others use historical data on societies, national surveys or cross-national comparative studies to test hypotheses.
This work examines in depth the methodological relationships that probability and statistics have maintained with the social sciences from their emergence. It covers both the history of thought and current methods. First it examines in detail the history of the different paradigms and axioms for probability, from their emergence in the seventeenth century up to the most recent developments of the three major concepts: objective, subjective and logicist probability. It shows the statistical inference they permit, different applications to social sciences and the main problems they encounter. On the other side, from social sciences—particularly population sciences—to probability, it shows ...
Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications. The first part of the book explains the historical origins of correspondence analysis and associated methods. The second part concentrates on the contributions made by the school of Jean-Paul Benzécri and related movements, such as social space and geometric data analysis. Although these topics are viewed from a French perspective, the book makes them understandable to an international audience. Throughout the text, well-known experts illustrate the use of the methods in practice. Examples include the spatial visualization of multivariate data, cluster analysis in computer science, the transformation of a textual data set into numerical data, the use of quantitative and qualitative variables in multiple factor analysis, different possibilities of recoding data prior to visualization, and the application of duality diagram theory to the analysis of a contingency table.
Contains over 2,500 alphabetically arranged entries providing definitions of terms and ideas related to sociology, along with cross-references, and biographical sketches of key individuals in the field.
Trust in Contemporary Society, by well-known trust researchers, deals with conceptual, theoretical and social interaction analyses, historical data on societies, national surveys or cross-national comparative studies, and methodological issues related to trust. The authors are from a variety of disciplines: psychology, sociology, political science, organizational studies, history, and philosophy, and from Britain, the United States, the Czech Republic, the Netherlands, Australia, Germany, and Japan. They bring their vast knowledge from different historical and cultural backgrounds to illuminate contemporary issues of trust and distrust. The socio-cultural perspective of trust is important and increasingly acknowledged as central to trust research. Accordingly, future directions for comparative trust research are also discussed. Contributors include: Jack Barbalet, John Brehm, Geoffrey Hosking, Robert Marsh, Barbara A. Misztal, Guido Möllering, Bart Nooteboom, Ken J. Rotenberg, Jiří Šafr, Masamichi Sasaki, Meg Savel, Markéta Sedláčková, Jörg Sydow, Piotr Sztompka.
This book revisits the modern history of Poland, from the perspective of its social sciences. The book makes this case study a model for the application of Bourdieu’s approach to the historical analysis of non-core Western societies. The book is, in other words, a reflexive study of the application of Bourdieu’s social theory. At the same time, it also critically studies the application of Western social theory in Poland, which is largely seen as a peripheral country. The study of Polish social sciences, with particular emphasis on linguistics and literary studies, points to the peculiar dynamics of peripheral intellectual and academic fields and their external dependencies. These insigh...
Originally published in 1978, this seventh volume of an international series continues the objective to increase and disseminate scientific knowledge in the area of human attention, performance and information processing, and to foster international communication in this area. This volume covers the following topics: time in perception; word perception and reading; speech perception and coding; hemisphere differences; response and physiological processes; theories and models. Today it can be read and enjoyed in its historical context.
Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an ana...
As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research. Until now, however, the literature on the su