- Author
- Heidelinde Dehaene (UGent) , Jan De Neve (UGent) and Yves Rosseel (UGent)
- Organization
- Abstract
- We propose an extension of the Wilcoxon–Mann–Whitney test to compare two groups when the outcome variable is latent. We empirically demonstrate that the test can have superior power properties relative to tests based on Structural Equation Modeling for a variety of settings. In addition, several other advantages of the Wilcoxon–Mann–Whitney test are retained such as robustness to outliers and good small sample performance. We demonstrate the proposed methodology on a case study.
- Keywords
- rank test, measurement error, indicators, robustness, nonparametric inference, group comparison
Downloads
-
Dehaene DeNeve Rosseel.pdf
- full text (Published version)
- |
- open access
- |
- |
- 759.21 KB
-
Supplementary Material.pdf
- supplementary material
- |
- open access
- |
- |
- 143.21 KB
-
R code.zip
- supplementary material
- |
- open access
- |
- ZIP archive
- |
- 1.33 MB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8730595
- MLA
- Dehaene, Heidelinde, et al. “A Wilcoxon–Mann–Whitney Test for Latent Variables.” FRONTIERS IN PSYCHOLOGY, vol. 12, 2021, doi:10.3389/fpsyg.2021.754898.
- APA
- Dehaene, H., De Neve, J., & Rosseel, Y. (2021). A Wilcoxon–Mann–Whitney test for latent variables. FRONTIERS IN PSYCHOLOGY, 12. https://doi.org/10.3389/fpsyg.2021.754898
- Chicago author-date
- Dehaene, Heidelinde, Jan De Neve, and Yves Rosseel. 2021. “A Wilcoxon–Mann–Whitney Test for Latent Variables.” FRONTIERS IN PSYCHOLOGY 12. https://doi.org/10.3389/fpsyg.2021.754898.
- Chicago author-date (all authors)
- Dehaene, Heidelinde, Jan De Neve, and Yves Rosseel. 2021. “A Wilcoxon–Mann–Whitney Test for Latent Variables.” FRONTIERS IN PSYCHOLOGY 12. doi:10.3389/fpsyg.2021.754898.
- Vancouver
- 1.Dehaene H, De Neve J, Rosseel Y. A Wilcoxon–Mann–Whitney test for latent variables. FRONTIERS IN PSYCHOLOGY. 2021;12.
- IEEE
- [1]H. Dehaene, J. De Neve, and Y. Rosseel, “A Wilcoxon–Mann–Whitney test for latent variables,” FRONTIERS IN PSYCHOLOGY, vol. 12, 2021.
@article{8730595,
abstract = {{We propose an extension of the Wilcoxon–Mann–Whitney test to compare two groups when the outcome variable is latent. We empirically demonstrate that the test can have superior power properties relative to tests based on Structural Equation Modeling for a variety of settings. In addition, several other advantages of the Wilcoxon–Mann–Whitney test are retained such as robustness to outliers and good small sample performance. We demonstrate the proposed methodology on a case study.}},
articleno = {{754898}},
author = {{Dehaene, Heidelinde and De Neve, Jan and Rosseel, Yves}},
issn = {{1664-1078}},
journal = {{FRONTIERS IN PSYCHOLOGY}},
keywords = {{rank test,measurement error,indicators,robustness,nonparametric inference,group comparison}},
language = {{eng}},
pages = {{13}},
title = {{A Wilcoxon–Mann–Whitney test for latent variables}},
url = {{http://doi.org/10.3389/fpsyg.2021.754898}},
volume = {{12}},
year = {{2021}},
}
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: