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Applied Multidimensional Scaling

  • Ingwer Borg
  • Patrick J. F. Groenen
  • Patrick Mair

Part of the SpringerBriefs in Statistics book series (BRIEFSSTATIST)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Ingwer Borg, Patrick J. F. Groenen, Patrick Mair
    Pages 1-6
  3. Ingwer Borg, Patrick J. F. Groenen, Patrick Mair
    Pages 7-19
  4. Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
    Pages 21-26
  5. Ingwer Borg, Patrick J. F. Groenen, Patrick Mair
    Pages 27-35
  6. Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
    Pages 37-47
  7. Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
    Pages 49-58
  8. Ingwer Borg, Patrick J. F. Groenen, Patrick Mair
    Pages 59-79
  9. Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
    Pages 81-86
  10. Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
    Pages 87-107
  11. Back Matter
    Pages 109-113

About this book

Introduction

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.

Keywords

Data analysis MDS Multidimensional scaling R package Smacof

Authors and affiliations

  • Ingwer Borg
    • 1
  • Patrick J. F. Groenen
    • 2
  • Patrick Mair
    • 3
  1. 1.the Social SciencesGESIS – Leibniz Institute forMannheimGermany
  2. 2., Econometric InstituteErasmus University RotterdamRotterdam, PANetherlands
  3. 3.and Business, Institute for Statistics and MathematicsVienna University of EconomicsViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-31848-1
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-31847-4
  • Online ISBN 978-3-642-31848-1
  • Series Print ISSN 2191-544X
  • Series Online ISSN 2191-5458
  • Buy this book on publisher's site
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