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