02808nam 2200613Ia 450 991043813620332120200520144314.01-283-74199-73-642-31848-710.1007/978-3-642-31848-1(CKB)2670000000279820(EBL)1030475(OCoLC)817225164(SSID)ssj0000789532(PQKBManifestationID)11510547(PQKBTitleCode)TC0000789532(PQKBWorkID)10734109(PQKB)10155827(DE-He213)978-3-642-31848-1(MiAaPQ)EBC1030475(PPN)168320479(EXLCZ)99267000000027982020121112d2013 uy 0engur|n|---|||||txtccrApplied multidimensional scaling /Ingwer Borg, Patrick J.F. Groenen, Patrick Mair1st ed. 2013.Berlin ;London Springer20131 online resource (118 p.)SpringerBriefs in statisticsDescription based upon print version of record.3-642-31847-9 Includes bibliographical references and index.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.SpringerBriefs in Statistics,2191-544XMultidimensional scalingScaling (Social sciences)Multidimensional scaling.Scaling (Social sciences)519.535Borg Ingwer103137Groenen Patrick J. F692141Mair Patrick740687MiAaPQMiAaPQMiAaPQBOOK9910438136203321Applied multidimensional scaling1469000UNINA