Cluster Analysis For Social Scientists
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Cluster Analysis For Social Scientists
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Author : Maurice Lorr
language : en
Publisher:
Release Date : 1983
Cluster Analysis For Social Scientists written by Maurice Lorr and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Cluster analysis categories.
Analysis Of Multivariate Social Science Data
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Author : David J. Bartholomew
language : en
Publisher: CRC Press
Release Date : 2008-06-04
Analysis Of Multivariate Social Science Data written by David J. Bartholomew and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-04 with Mathematics categories.
Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, con
The Analysis And Interpretation Of Multivariate Data For Social Scientists
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Author : J.I. Galbraith
language : en
Publisher: CRC Press
Release Date : 2002-02-26
The Analysis And Interpretation Of Multivariate Data For Social Scientists written by J.I. Galbraith and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-02-26 with Mathematics categories.
Multivariate analysis is an important tool for social researchers, but the subject is broad and can be quite technical for those with limited mathematical and statistical backgrounds. To effectively acquire the tools and techniques they need to interpret multivariate data, social science students need clear explanations, a minimum of mathematical detail, and a wide range of exercises and worked examples. Classroom tested for more than 10 years, The Analysis and Interpretation of Multivariate Data for Social Scientists describes and illustrates methods of multivariate data analysis important to the social sciences. The authors focus on interpreting the pattern of relationships among many variables rather than establishing causal linkages, and rely heavily on numerical examples, visualization, and on verbal , rather than mathematical exposition. They present methods for categorical variables alongside the more familiar method for continuous variables and place particular emphasis on latent variable techniques. Ideal for introductory, senior undergraduate and graduate-level courses in multivariate analysis for social science students, this book combines depth of understanding and insight with the practical details of how to carry out and interpret multivariate analyses on real data. It gives them a solid understanding of the most commonly used multivariate methods and the knowledge and tools to implement them. Datasets, the SPSS syntax and code used in the examples, and software for performing latent variable modelling are available at http://www.mlwin.com/team/aimdss.html>
Cluster Analysis
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Author : E.J. Bynen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Cluster Analysis written by E.J. Bynen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Social Science categories.
During the last years the number of applications of cluster analysis in the social sciences has increased very rapidly. One of the reasons for this is the growing awareness that the assumption of homogeneity implicit in the application of such techniques as factor analysis and scaling is often violated by social science data; another is the increased interest in typolo gies and the construction of types. Dr. Bijnen has done an extremely useful job by putting together and evaluating attempts to arrive at better and more elegant techniques of cluster analysis from such diverse fields as the social sciences, biology and medicine. His presentation is very clear and concise, reflecting his intention not to write a 'cookery-book' but a text for scholars who need a reliable guide to pilot them through an extensive and widely scattered literature. Ph. C. Stouthard v Preface This book contains a survey of a number of techniques of clustering analysis. The merits and demerits of the procedures described are also discussed so that the research worker can make an informed choice be tween them. These techniques have been published in a very great number of journals which are not all easily accessible to the sociologist. This difficulty is com pounded because developments in the different disciplines have occurred almost entirely independently from each other; reference is made only sporadically in a piece of literature to the literature of other disciplines.
Knowledge Discovery In The Social Sciences
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Author : Xiaoling Shu
language : en
Publisher: University of California Press
Release Date : 2020-02-04
Knowledge Discovery In The Social Sciences written by Xiaoling Shu and has been published by University of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-04 with Social Science categories.
Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and data analysts as well as students who have no prior experience in statistics or computer science. Suitable for a variety of classes—including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods—the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: • appreciate the role of data mining in scientific research • develop an understanding of fundamental concepts of data mining and knowledge discovery • use software to carry out data mining tasks • select and assess appropriate models to ensure findings are valid and meaningful • develop basic skills in data preparation, data mining, model selection, and validation • apply concepts with end-of-chapter exercises and review summaries
Evidence Based Policy Making In The Social Sciences
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Author : Stoker, Gerry
language : en
Publisher: Policy Press
Release Date : 2016-09-29
Evidence Based Policy Making In The Social Sciences written by Stoker, Gerry and has been published by Policy Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-29 with Political Science categories.
Drawing on the insights of some of the world’s leading authorities in public policy analysis, this important book offers a distinct and critical showcase of emerging forms of discovery for policy-making. Chapter by chapter this expert group of social scientists showcase their chosen method or approach, showing the context, the method’s key features and how it can be applied in practice, including the scope and limitations of its application and value to policy makers. Arguing that it is not just econometric analysis, cost benefit or surveys that can do policy work, the contributors demonstrate a range of other methods that can provide evidenced-based policy insights and how they can help facilitate progressive policy outcomes. The book will be ideal for upper level undergraduate students as well as Public Policy post-graduates, and can be used as the basis of an intensive learning experience for policy makers.
Cluster Analysis
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Author : E J Bynen
language : en
Publisher:
Release Date : 1973-07-31
Cluster Analysis written by E J Bynen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973-07-31 with categories.
Cluster Analysis For The Biological And Social Sciences
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Author : H. Daniel Roth
language : en
Publisher:
Release Date : 1970
Cluster Analysis For The Biological And Social Sciences written by H. Daniel Roth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Biometry categories.
A Program For Cluster Analysis Of Social Science Data
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Author : Sharon Sandomirsky Poss
language : en
Publisher:
Release Date : 1973
A Program For Cluster Analysis Of Social Science Data written by Sharon Sandomirsky Poss and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Cluster analysis categories.
Multiple Correspondence Analysis For The Social Sciences
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Author : Johs. Hjellbrekke
language : en
Publisher: Routledge
Release Date : 2018-06-18
Multiple Correspondence Analysis For The Social Sciences written by Johs. Hjellbrekke and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-18 with Social Science categories.
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.