Multiple Correspondence Analysis

Author: Brigitte Le Roux
Publisher: SAGE
ISBN: 1412968976
Format: PDF
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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. Learn more about “The Little Green Book” - QASS Series! Click Here

Multiple Correspondence Analysis for the Social Sciences

Author: Johs. Hjellbrekke
Publisher: Routledge
ISBN: 1315516233
Format: PDF, ePub
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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.

Russlandbezogene Gender Studies

Author: Therese Garstenauer
Publisher: Vandenhoeck & Ruprecht
ISBN: 3847008765
Format: PDF, ePub, Docs
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Es macht einen Unterschied, ob jemand in Saratov, Moskau, Wien oder New York über Geschlechterverhältnisse in Russland forscht. In diesem Band wird die globale Arbeitsteilung in den Sozial- und Geisteswissenschaften diskutiert: Wo entstehen Theorien, wo werden sie angewendet? Wer liefert – oder ist selbst – empirisches Datenmaterial? Welchen Stellenwert haben in Russland arbeitende Forscher_innen in dieser Konstellation? Anhand zahlreicher Interviews mit russischen, amerikanischen, deutschen, englischen und österreichischen Protagonist_innen dieses Feldes werden die Grenzen und Möglichkeiten transnationaler, russlandbezogener Geschlechterforschung aufgezeigt. Darüber hinaus gibt die Autorin Einblicke in die aktuelle Situation der Geschlechterforschung in Russland. When conducting research on gender relations in Russia it makes a difference whether one is located in Saratov, Moscow, Vienna or New York. The author tackles questions of the global division of labour within the social sciences and humanities: Where are theories developed, where do they get applied? Who delivers – or even becomes – the empirical data for research? What is the status of Russia-based scholars within this constellation? The limits and possibilities of transnational Russia-related Gender Studies are expounded, based on the analysis of numerous interviews with Russian, American, Austrian, German, and English protagonists in this field. Furthermore, the reader is provided with insights into the current state of affairs of Gender Studies in Russia.

Applied Statistics From Bivariate Through Multivariate Techniques

Author: Rebecca M. Warner
Publisher: SAGE
ISBN: 141299134X
Format: PDF
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Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

The Association Graph and the Multigraph for Loglinear Models

Author: Harry J. Khamis
Publisher: SAGE
ISBN: 1452238952
Format: PDF, Mobi
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The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.

Social Network Analysis

Author: David Knoke
Publisher: SAGE
ISBN: 1412927498
Format: PDF, Docs
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Providing a general overview of fundamental theoretical and methodological topics, with coverage in greater depth of selected issues, the text covers various issues in basic network concepts, data collection and network analytical methodology.

Introduction to Factor Analysis

Author: Albert R. Wildt
Publisher: SAGE
ISBN: 9780803911659
Format: PDF, ePub, Mobi
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Describes the mathematical and logical foundations at a level that does not presume advanced mathematical or statistical skills. It illustrates how to do factor analysis with several of the more popular packaged computer programs.

Metric Scaling

Author: Susan C. Weller
Publisher: SAGE Publications, Incorporated
ISBN:
Format: PDF, Mobi
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This book presents a set of closely-related techniques that facilitate the visual exploration and display of a wide variety of multivariate data, both categorical and continuous. Three methods of metric scaling - correspondence analysis, principal components analysis and multiple dimensional preference scaling - are explored in detail for their strengths and weaknesses over a wide range of data types and research situations. The book focuses upon representing the relations among two or more sets of variables, and upon applications that are exploratory in nature rather than predictive.