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

RIS

@ARTICLE{Mair2016,
title = {Goodness-of-Fit Assessment in Multidimensional Scaling and Unfolding},
author = {Patrick Mair and Ingwer Borg and Thomas Rusch},
year = {2016},
doi = {na},
url = {http://www.tandfonline.com/doi/full/10.1080/00273171.2016.1235966},
volume = {51},
number = {6},
language = {EN},
pages = {772-789},
journal = {Multivariate Behavioral Research},
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.},
}