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＜電子ブック＞
Applied Multidimensional Scaling / by Ingwer Borg, Patrick JF Groenen, Patrick Mair
(SpringerBriefs in Statistics. ISSN:21915458)

版	1st ed. 2013.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2013
本文言語	英語
大きさ	IX, 113 p. 59 illus : online resource
著者標目	*Borg, Ingwer author Groenen, Patrick JF author Mair, Patrick author SpringerLink (Online service)
件　名	LCSH:Mathematical statistics -- Data processing  全ての件名で検索 LCSH:Psychology LCSH:Social sciences -- Statistical methods  全ての件名で検索 LCSH:Information visualization LCSH:Mathematics LCSH:Social sciences FREE:Statistics and Computing FREE:Behavioral Sciences and Psychology FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Data and Information Visualization FREE:Mathematics in the Humanities and Social Sciences
一般注記	First Steps -- The Purpose of MDS -- The Goodness of an MDS Solution -- Proximities -- Variants of Different MDS Models -- Confirmatory MDS -- Typical Mistakes in MDS -- MDS Algorithms -- Computer Programs for MDS 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 HTTP:URL=https://doi.org/10.1007/978-3-642-31848-1

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