Quotation Mair, Patrick, Borg, Ingwer, Rusch, Thomas. 2016. Goodness-of-Fit Assessment in Multidimensional Scaling and Unfolding. Multivariate Behavioral Research, 51 (6), 772-789.


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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.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Multivariate Behavioral Research
Citation Index SSCI
WU Journalrating 2009 A
WU-Journal-Rating new FIN-A
Language English
Title Goodness-of-Fit Assessment in Multidimensional Scaling and Unfolding
Volume 51
Number 6
Year 2016
Page from 772
Page to 789
Reviewed? Y
URL http://www.tandfonline.com/doi/full/10.1080/00273171.2016.1235966
DOI na
Open Access Y

Associations

People
Rusch, Thomas (Details)
External
Borg, Ingwer (University of Muenster, Germany)
Mair, Patrick (Department of Psychology, Harvard University, United States/USA)
Organization
Competence Center for Empirical Research Methods WE (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1162 Statistics (Details)
5509 Psychological methodology (Details)
5701 Applied statistics (Details)
5704 Social statistics (Details)
5912 Social sciences (interdisciplinary) (Details)
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