Power Search
Low Price Guarantee
We Take School POs
Applied Multidimensional Scaling and Unfolding 2018 Edition
Contributor(s): Borg, Ingwer (Author), Groenen, Patrick J. F. (Author), Mair, Patrick (Author)

View larger image

 ISBN: 3319734709     ISBN-13: 9783319734705
Publisher: Springer
OUR PRICE: $66.49  

Binding Type: Paperback
Published: May 2018
Qty:

Click for more in this series: Springerbriefs in Statistics
Additional Information
BISAC Categories:
- Computers | Mathematical & Statistical Software
- Psychology | Assessment, Testing & Measurement
- Social Science | Statistics
Dewey: 004
Series: Springerbriefs in Statistics
Physical Information: 0.29" H x 6.14" W x 9.21" L (0.44 lbs) 122 pages
Features: Maps
 
Descriptions, Reviews, Etc.
Publisher Description:

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).
 
Customer ReviewsSubmit your own review
 
To tell a friend about this book, you must Sign In First!