Applied Multidimensional Scaling and Unfolding (SpringerBriefs in Statistics)

Synopsis

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

Related ISBNs:

9783319734705

Publisher:

Springer International Publishing

Date of Addition:

10/16/18

Copyrighted By:

The Author

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet, Psychology, Social Studies, Mathematics and Statistics, Medicine, Sociology

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.