Product Description: A comprehensive introduction to multivariate data analysis for students without a background in mathematics who are now studying statistics. The text combines the theory and practice of multivariate analysis and includes exercises of varying degrees of difficulty, as well as data projects, to allow the student to gain confidence in a complex subject area...read more

Multidimensional scaling is a branch of multivariate data analysis geared towards dimensional reduction and graphical representation of data. This book gives a concise account of multidimensional scaling, giving the theory and illustrations of the various techniques from a neutral standpoint. It includes chapters on classical scaling, nonmetric scaling, Procrustes analysis, correspondence analysis, unfolding, individual difference models and other m-mode, n-way models. Included with the book is a diskette containing computer programs which will give the reader the opportunity to try out some of the scaling techniques. This is useful in helping to understand the theory behind the models and also enables the reader to see the techniques actually work in practice. (view table of contents)