Applied Multidimensional Scaling and Unfolding (SpringerBriefs In Statistics)

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Synopsis
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).

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).

Copyright:
2018

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783319734712
Publisher:
Springer International Publishing, AG
Date of Addition:
Copyrighted By:
Ingwer Borg, Patrick J.F. Groenen, Patrick Mair
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Computers and Internet, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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