Borg, Ingwer; Groenen, Patrick J. F.; Mair, Patrick Applied multidimensional scaling. (English) Zbl 1416.62017 SpringerBriefs in Statistics. Heidelberg: Springer (ISBN 978-3-642-31847-4; 978-3-642-31848-1/ebook). x, 113 p. (2013). Publisher’s description: This book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). The book is unique in its orientation on the applied researcher, whose primary interest is in using MDS as a tool to build substantive theories. This is done by emphasizing practical issues (such as evaluating model fit), by presenting ways to enforce theoretical expectations on the MDS solution, and by discussing typical mistakes that MDS users tend to make. The primary audience of this book are psychologists, social scientists, and market researchers. No particular background knowledge is required, beyond a basic knowledge of statistics.See the review of the second edition in [Zbl 1409.62006]. Cited in 4 Documents MSC: 62-02 Research exposition (monographs, survey articles) pertaining to statistics 62H99 Multivariate analysis 62H30 Classification and discrimination; cluster analysis (statistical aspects) 62H05 Characterization and structure theory for multivariate probability distributions; copulas 91C15 One- and multidimensional scaling in the social and behavioral sciences 62-04 Software, source code, etc. for problems pertaining to statistics 62P15 Applications of statistics to psychology Keywords:multidimensional scaling (MDS); iterative MDS algorithm; goodness of fit; external and internal unfolding; Minkowski distance; Euclidean distance; stress measure; representation error; similarity data; global and local optimum Citations:Zbl 1409.62006 Software:PROXSCAL; SPSS; smacof; R PDFBibTeX XMLCite \textit{I. Borg} et al., Applied multidimensional scaling. Heidelberg: Springer (2013; Zbl 1416.62017) Full Text: DOI