Overview
- This book is a brief introduction to applied Multidimensional Scaling (MDS) Comprehensively written for MDS users
- Chooses a particular perspective, stressing the issues that always come up when MDS is used in substantive research
- Presenting answers that are particularly relevant for the substantive researcher
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
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Table of contents (9 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Ingwer Borg is a Professor Emeritus at GESIS – Leibniz Institute for the Social Sciences, Mannheim, Germany. He has authored or edited 18 books and numerous academic articles on scaling, data analysis, survey research, theory construction, and various substantive topics of psychology. He has also served as president of several professional organizations.
Patrick J. F. Groenen is a Professor of Statistics at the Econometric Institute, Erasmus University Rotterdam, The Netherlands. He has written several books and authored over 40 academic articles on topics including multidimensional scaling, multivariate analysis, classification, and visualization.
Patrick Mair is an Adjunct Professor at the Department of Statistics and Mathematics, WU Vienna University of Economics and Business. His research focuses on applied and computational statistics, with a special emphasis on psychometric methods.
Bibliographic Information
Book Title: Applied Multidimensional Scaling
Authors: Ingwer Borg, Patrick J. F. Groenen, Patrick Mair
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-3-642-31848-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2013
eBook ISBN: 978-3-642-31848-1Published: 30 October 2012
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: IX, 113
Number of Illustrations: 59 b/w illustrations
Topics: Statistics and Computing/Statistics Programs, Psychology, general, Statistics for Social Sciences, Humanities, Law, Visualization, Mathematics in the Humanities and Social Sciences