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Applied Multidimensional Scaling
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Applied Multidimensional Scaling ([Ebook]) / by Ingwer Borg, Patrick J. F. Groenen, Patrick Mair.
Author
Borg, Ingwer
Added Personal Name
Groenen, Patrick J. F.
Mair, Patrick
Other name(s)
SpringerLink (Online service)
Publication
Berlin, Heidelberg : Springer
, 2013.
Physical Details
IX, 113 pages:. 59 illus. : online resource.
Series
SpringerBriefs in Statistics
2191-544X
ISBN
9783642318481
Summary Note
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.:
Contents note
First Steps -- The Purpose of MDS -- The Goodness of an MDS Solution -- Proximities -- Variants of Different MDS Models -- Confirmatory MDS -- Typical Mistakes in MDS -- MDS Algorithms -- Computer Programs for MDS.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)..
Internet Site
http://dx.doi.org/10.1007/978-3-642-31848-1
Links to Related Works
Subject References:
Mathematical Statistics
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Mathematics in the Humanities and Social Sciences
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Philosophy, general
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Psychology, general
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Statistics
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Statistics and Computing/Statistics Programs
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Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
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Authors:
author
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Borg, Ingwer
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Groenen, Patrick J. F.
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Mair, Patrick
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Corporate Authors:
SpringerLink (Online service)
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Series:
SpringerBriefs in Statistics
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Classification:
519.5
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519.5 (DDC 23)
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