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Applied Multidimensional Scaling

  • Book
  • © 2013

Overview

Authors:
  1. Ingwer Borg

    1. the Social Sciences, GESIS – Leibniz Institute for, Mannheim, Germany

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  2. Patrick J. F. Groenen

    1. , Econometric Institute, Erasmus University Rotterdam, Rotterdam, PA, Netherlands

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    You can also search for this author in PubMed   Google Scholar

  3. Patrick Mair

    1. and Business, Institute for Statistics and Mathematics, Vienna University of Economics, Vienna, Austria

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  • 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)

  1. Front Matter

    Pages i-ix
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  2. First Steps

    • Ingwer Borg, Patrick J. F. Groenen, Patrick Mair
    Pages 1-6

  3. The Purpose of MDS

    • Ingwer Borg, Patrick J. F. Groenen, Patrick Mair
    Pages 7-19

  4. The Goodness of an MDS Solution

    • Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
    Pages 21-26

  5. Proximities

    • Ingwer Borg, Patrick J. F. Groenen, Patrick Mair
    Pages 27-35

  6. Variants of Different MDS Models

    • Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
    Pages 37-47

  7. Confirmatory MDS

    • Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
    Pages 49-58

  8. Typical Mistakes in MDS

    • Ingwer Borg, Patrick J. F. Groenen, Patrick Mair
    Pages 59-79

  9. MDS Algorithms

    • Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
    Pages 81-86

  10. Computer Programs for MDS

    • Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
    Pages 87-107

  11. Back Matter

    Pages 109-113
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Keywords

About this book

This book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). 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. This is done by emphasizing practical issues (such as evaluating model fit), by presenting ways to enforce theoretical expectations on the MDS solution, and by discussing typical mistakes that MDS users tend to make.  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.

Authors and Affiliations

  • the Social Sciences, GESIS – Leibniz Institute for, Mannheim, Germany

    Ingwer Borg

  • , Econometric Institute, Erasmus University Rotterdam, Rotterdam, PA, Netherlands

    Patrick J. F. Groenen

  • and Business, Institute for Statistics and Mathematics, Vienna University of Economics, Vienna, Austria

    Patrick Mair

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.

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