#Multiple Correspondence Analysis For The Social Sciences PDF

Download full Multiple Correspondence Analysis For The Social Sciences Book or read online anytime anywhere, Available in PDF, ePub and Kindle. Click Get Books and find your favorite books in the online library. Create free account to access unlimited books, fast download and ads free! We cannot guarantee that book is in the library. READ as many books as you like (Personal use).

Multiple Correspondence Analysis for the Social Sciences

by Johs. Hjellbrekke
Publisher: Routledge
Release Date: 2018-06-18
Genre: Social Science
Pages: 118 pages
ISBN 13: 1315516233
ISBN 10: 9781315516233
Format: PDF, ePUB, MOBI, Audiobooks, Kindle

GET EBOOK

Synopsis : Multiple Correspondence Analysis for the Social Sciences written by Johs. Hjellbrekke, published by Routledge which was released on 2018-06-18. Download Multiple Correspondence Analysis for the Social Sciences Books now! Available in PDF, EPUB, Mobi Format. This book will introduce readers to the fundamental properties, procedures and rules of interpretation of the most commonly used forms of correspondence analysis. -- 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.

RELATED BOOKS
Multiple Correspondence Analysis for the Social Sciences
Language: en
Pages: 118
Authors: Johs. Hjellbrekke
Categories: Social Science
Type: BOOK - Published: 2018-06-18 - Publisher: Routledge

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.
Multiple Correspondence Analysis for the Social Sciences
Language: en
Pages: 118
Authors: Johs. Hjellbrekke
Categories: Social Science
Type: BOOK - Published: 2018-06-18 - Publisher: Routledge

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.
Multilevel Network Analysis for the Social Sciences
Language: en
Pages: 375
Authors: Emmanuel Lazega, Tom A.B. Snijders
Categories: Social Science
Type: BOOK - Published: 2015-12-16 - Publisher: Springer

This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable. ​
Advanced Statistical Methods for the Analysis of Large Data-Sets
Language: en
Pages: 486
Authors: Agostino Di Ciaccio, Mauro Coli, Jose Miguel Angulo Ibanez
Categories: Mathematics
Type: BOOK - Published: 2012-03-05 - Publisher: Springer Science & Business Media

The theme of the meeting was “Statistical Methods for the Analysis of Large Data-Sets”. In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques are usually not well suited to managing this kind of data. The conference serves as an important meeting point for European researchers working on this topic and a number of European statistical societies participated in the organization of the event. The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on “Advanced Statistical Methods for the Analysis of Large Data-sets.”
Power and Influence of Economists
Language: en
Pages: 286
Authors: Jens Maesse, Stephan Pühringer, Thierry Rossier, Pierre Benz
Categories: Business & Economics
Type: BOOK - Published: 2021-05-24 - Publisher: Routledge

Economists occupy leading positions in many different sectors including central and private banks, multinational corporations, the state and the media, as well as serving as policy consultants on everything from health to the environment and security. Power and Influence of Economists explores the interconnected relationship between power, knowledge and influence which has led economics to be both a source and beneficiary of widespread power and influence. The contributors to this book explore the complex and diverse methods and channels that economists have used to exert and expand their influence from different disciplinary and national perspectives. Four different analytical views on the role of power and economics are taken: first, the role of economic expert discourses as power devices for the formation of influential expertise; second, the logics and modalities of governmentality that produce power/knowledge apparatuses between science and society; third, economists as involved in networks between academia, politics and the media; and forth, economics considered as a social field, including questions of legitimacy and unequal relations between economists based on the detention of various capitals. The volume includes case studies on a variety of national configurations of economics, such as the US, Germany, Italy, Switzerland, Greece, Mexico and Brazil, as well as international spaces and organisations such as the IMF. This book provides innovative research perspectives for students and scholars of heterodox economics, cultural political economy, sociology of professions, network studies, and the social studies of power, discourse and knowledge.
Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences
Language: en
Pages: 320
Authors: Brian S. Everitt
Categories: Business & Economics
Type: BOOK - Published: 2009-09-28 - Publisher: CRC Press

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues.The author begins by exploring
Researching Elites and Power
Language: en
Pages: 276
Authors: Francois Denord, Mikael Palme, Bertrand Réau
Categories: Social Science
Type: BOOK - Published: 2020-08-12 - Publisher: Springer Nature

This open access book describes how elite studies theoretically and methodologically construct their object, i.e. how particular conceptualizations of elites are turned into research practice using different methods for collecting, dealing with and analyzing empirical data. The first of four sections focuses on what Mills named the power elite and includes Bourdieu’s field of power. The second section addresses studies of the domain of economic power, whereas the third section centers on research on elite education. The fourth and last section highlights research on symbolic power, either within social fields or as a dimension of social structure at large, areas where recognition is essential. All sections comprise empirical case studies of elites and power, whereby each of which makes explicit the various methodological choices made in the research process. Through focusing on methodological approaches for the study of elites and power and on how such approaches relate to each other as well as to the theoretical perspectives that underpin them, this book will be a valuable source for social scientists.
Bourdieu and After
Language: en
Pages: 302
Authors: Will Atkinson
Categories: Social Science
Type: BOOK - Published: 2019-09-18 - Publisher: Routledge

Pierre Bourdieu was the most influential sociologist of the late 20th century. The framework he developed continues to inspire countless researchers across the globe and provokes intense debates long after his death. Novel concepts, innovative applications and countless elaborations spring up every day, bulking out and shaping a distinct, if not always entirely consistent, body of work that might be characterised as a recognisable tradition. For those coming to Bourdieu for the first time, therefore, and interested in using his ideas in their own research, it no longer makes sense to confine oneself to the ideas of the man himself. An overview of the varied ways his concepts and arguments have been deepened and updated to make sense of new times or to fill certain gaps, and how insights on seemingly disconnected topics weave together into a bigger picture, is not just desirable but essential. Bourdieu and After aims to provide exactly this overview. Working closely with Bourdieu’s own writings, but also covering a wide range of research and literature inspired by him, it aims to guide the reader through the key principles, the major and minor concepts and the concrete findings of Bourdieusian sociology as clearly and comprehensively as possible. It explains the difficult and often overlooked philosophical foundations, walks through the logic of famous terms like ‘field’, ‘habitus’ and ‘capital’ and demonstrates how they have been or can be used to provide powerful accounts of colonialism, the emergence of nation states and the rise of global social relations. It covers topics that Bourdieu was famous for analysing, like class and educational inequality, yet also traverses subjects on which he said little but that others influenced by him have tackled in depth, such as ethnicity, sexuality and family. Along the way Atkinson seeks to undermine some of the common criticisms levelled at Bourdieu while identifying remaining gaps and limitations. Rather than simply recognising the problems, however, Atkinson proposes possible solutions too – solutions that are facilitated, he argues, by characterising Bourdieusian sociology as what he calls ‘relational phenomenology’.
Multiway Contingency Tables Analysis for the Social Sciences
Language: en
Pages: 438
Authors: Thomas D. Wickens
Categories: Psychology
Type: BOOK - Published: 2014-02-25 - Publisher: Psychology Press

This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed. This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.
Multiple Correspondence Analysis
Language: en
Pages: 115
Authors: Brigitte Le Roux, Henry Rouanet
Categories: Social Science
Type: BOOK - Published: 2010 - Publisher: SAGE

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
The SAGE Handbook of Quantitative Methodology for the Social Sciences
Language: en
Pages: 511
Authors: David Kaplan
Categories: Social Science
Type: BOOK - Published: 2004-06-21 - Publisher: SAGE

Quantitative methodology is a highly specialized field. This handbook is intended to introduce applied statisticians, empirical researchers & graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences.
Multiple Correspondence Analysis and Related Methods
Language: en
Pages: 608
Authors: Michael Greenacre, Jorg Blasius
Categories: Mathematics
Type: BOOK - Published: 2006-06-23 - Publisher: Chapman and Hall/CRC

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 subject has been scattered, leaving many in these fields no comprehensive resource from which to learn its theory, applications, and implementation. Multiple Correspondence Analysis and Related Methods gives a state-of-the-art description of this new field in an accessible, self-contained, textbook format. Explaining the methodology step-by-step, it offers an exhaustive survey of the different approaches taken by researchers from different statistical "schools" and explores a wide variety of application areas. Each chapter includes empirical examples that provide a practical understanding of the method and its interpretation, and most chapters end with a "Software Note" that discusses software and computational aspects. An appendix at the end of the book gives further computing details along with code written in the R language for performing MCA and related techniques. The code and the datasets used in the book are available for download from a supporting Web page. Providing a unique, multidisciplinary perspective, experts in MCA from both statistics and the social sciences contributed chapters to the book. The editors unified the notation and coordinated and cross-referenced the theory across all of the chapters, making the book read seamlessly. Practical, accessible, and thorough, Multiple Correspondence Analysis and Related Methods brings the theory and applications of MCA under one cover and provides a valuable addition to your statistical toolbox.