| Dewey Class |
519.5 |
| Title |
Applied Multidimensional Scaling and Unfolding ([EBook]) / by Ingwer Borg, Patrick J.F. Groenen, Patrick Mair. |
| Author |
Borg, Ingwer |
| Added Personal Name |
Groenen, Patrick J.F. author. |
| Mair, Patrick author. |
| Other name(s) |
SpringerLink (Online service) |
| Edition statement |
2nd ed. 2018. |
| Publication |
Cham : : Springer International Publishing : : Imprint: Springer, , 2018. |
| Physical Details |
IX, 122 p. 65 illus. : online resource. |
| Series |
SpringerBriefs in Statistics 2191-544X |
| ISBN |
9783319734712 |
| Summary Note |
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 a related method that maps preference data (typically evaluative ratings of different persons on a set of objects) as distances between two sets of points (representing the persons and the objects, resp.). This second edition has been completely revised to reflect new developments and the coverage of unfolding has also been substantially expanded. Intended for applied researchers whose main interests are in using these methods as tools for building substantive theories, it discusses numerous applications (classical and recent), highlights practical issues (such as evaluating model fit), presents ways to enforce theoretical expectations for the scaling solutions, and addresses the typical mistakes that MDS/unfolding users tend to make. Further, it shows how MDS and unfolding can be used in practical research work, primarily by using the smacof package in the R environment but also Proxscal in SPSS. It is a valuable resource for psychologists, social scientists, and market researchers, with a basic understanding of multivariate statistics (such as multiple regression and factor analysis).: |
| Contents note |
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. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-3-319-73471-2 |
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