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SpringerBriefs in Statistics
cover

Applied Multidimensional Scaling and Unfolding

Authors: Borg, Ingwer, Groenen, Patrick J.F., Mair, Patrick

  • Provides a concise, largely conceptual introduction to multidimensional scaling and unfolding
  • Focuses on how to actually run and interpret MDS and unfolding in applied research (with examples from psychology, the social sciences, and market research)
  • Explains with several examples how to use the R-package smacof for MDS/unfolding and Proxscal in SPSS
  • Includes numerous R-scripts that show how to run MDS and unfolding analyses (a file containing all scripts, and more, can be downloaded)
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eBook 41,64 €
price for Spain (gross)
  • ISBN 978-3-319-73471-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-319-73470-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that maps preference data (typically evaluative ratings of different persons on a set of objects) as distances between two sets of points (representing the persons and the objects, resp.).


This second edition has been completely revised to reflect new developments and the coverage of unfolding has also been substantially expanded. Intended for applied researchers whose main interests are in using these methods as tools for building substantive theories, it discusses numerous applications (classical and recent), highlights practical issues (such as evaluating model fit), presents ways to enforce theoretical expectations for the scaling solutions, and addresses the typical mistakes that MDS/unfolding users tend to make. Further, it shows how MDS and unfolding can be used in practical research work, primarily by using the smacof package in the R environment but also Proxscal in SPSS. It is a valuable resource for psychologists, social scientists, and market researchers, with a basic understanding of multivariate statistics (such as multiple regression and factor analysis).

 

 

About the authors

Ingwer Borg is visiting professor of psychology at WWU Münster (Germany). He was scientific director at GESIS (Mannheim, Germany), psychology professor at JLU (Gießen, Germany), and research director at HRC (Munich, Germany). He has authored or edited 20 books and numerous articles on data analysis, survey research, theory construction, and various substantive fields of psychology, from psychophysics to job satisfaction.

Patrick J.F. Groenen is professor of statistics at the Econometric Institute, Erasmus University Rotterdam, the Netherlands. His main research interests are in data science visualization techniques, such as multidimensional scaling, unfolding, and nonlinear multivariate analysis techniques. He has coauthored both technical and more applied papers in a variety of international journals.

Patrick Mair received his PhD in statistics from the University of Vienna in 2005. Since 2013 he has worked as senior lecturer in statistics at the Department of Psychology, Harvard University. His research focuses on computational and applied statistics with special emphasis on psychometric methods, such as latent variable models and multivariate exploratory techniques.

Reviews

“‘This book introduces the multidimensional scaling (MDS) as a psychological model and as a data analysis technique for the applied researcher. … The book is unique in its orientation on the applied researcher, whose primary interest is in using MDS as a tool to build substantive theories. … The primary audience of this book are psychologists, social scientists, and market researchers. No particular background knowledge is required, beyond a basic knowledge of statistics.’” (Ludwig Paditz, zbMATH 1409.62006, 2019)

Table of contents (10 chapters)

Table of contents (10 chapters)
  • First Steps

    Pages 1-10

    Borg, Ingwer (et al.)

  • The Purpose of MDS and Unfolding

    Pages 11-27

    Borg, Ingwer (et al.)

  • The Fit of MDS and Unfolding Solutions

    Pages 29-41

    Borg, Ingwer (et al.)

  • Proximities

    Pages 43-51

    Borg, Ingwer (et al.)

  • Variants of MDS Models

    Pages 53-66

    Borg, Ingwer (et al.)

Buy this book

eBook 41,64 €
price for Spain (gross)
  • ISBN 978-3-319-73471-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-319-73470-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Applied Multidimensional Scaling and Unfolding
Authors
Series Title
SpringerBriefs in Statistics
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-73471-2
DOI
10.1007/978-3-319-73471-2
Softcover ISBN
978-3-319-73470-5
Series ISSN
2191-544X
Edition Number
2
Number of Pages
IX, 122
Number of Illustrations
65 b/w illustrations
Topics