Mair, Patrick and Borg, Ingwer and Rusch, Thomas (2016) Goodness-of-Fit Assessment in Multidimensional Scaling and Unfolding. Multivariate Behavioral Research, 51 (6). pp. 772-789. ISSN 1532-7906
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Abstract
Judging goodness of fit in multidimensional scaling requires a comprehensive set of diagnostic tools instead of relying on stress rules of thumb. This article elaborates on corresponding strategies and gives practical guidelines for researchers to obtain a clear picture of the goodness of fit of a solution. Special emphasis will be placed on the use of permutation tests. The second part of the article focuses on goodness-of-fit assessment of an important variant of multidimensional scaling called unfolding, which can be applied to a broad range of psychological data settings. Two real-life data sets are presented in order to walk the reader through the entire set of diagnostic measures, tests, and plots. R code is provided as supplementary information that makes the whole goodness-of-fit assessment workflow, as presented in this article, fully reproducible.
Item Type: | Article |
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Additional Information: | To see the final version of this paper please visit the publisher's website. Access to the published version requires a subscription. |
Keywords: | Multidimensional scaling, unfolding, goodness-of-fit, permutation tests |
Divisions: | Kompetenzzentren > Empirische Forschungsmethoden |
Version of the Document: | Accepted for Publication |
Depositing User: | Gertraud Novotny |
Date Deposited: | 20 Dec 2016 11:21 |
Last Modified: | 02 Nov 2017 12:31 |
Related URLs: | |
FIDES Link: | https://bach.wu.ac.at/d/research/results/78880/ |
URI: | https://epub.wu.ac.at/id/eprint/5354 |
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