Applied Multidimensional Scaling and Unfolding

• Main Authors: Borg, Ingwer (Author, http://id.loc.gov/vocabulary/relators/aut), Groenen, Patrick J.F (http://id.loc.gov/vocabulary/relators/aut), Mair, Patrick (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 2nd ed. 2018.
• Series: SpringerBriefs in Statistics,
• Subjects: Statistics .; Psychometrics.; Mathematics.; Visualization.; Social sciences-Data processing.; Social sciences-Computer programs.; Statistics and Computing/Statistics Programs.; Statistics for Social Sciences, Humanities, Law.; Statistics for Life Sciences, Medicine, Health Sciences.; Computational Social Sciences.

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...

Table of Contents:

• 1 First steps
• 2 The purpose of MDS and Unfolding
• 3 The fit of MDS and Unfolding solutions
• 4 Proximities
• 5 Variants of MDS models
• 6 Confirmatory MDS
• 7 Typical mistakes in MDS
• 8 Unfolding
• 9 MDS algorithms
• 10 MDS Software
• Subject Index.