Abstract
To find a common language effect size of multivariate outcomes, we convert the standardized multivariate effect size (Mahalanobis distance) to a probability of a randomly selected subject from one population having a larger discriminant function than a randomly selected subject from another population. This probability is simple to calculate and comprehensible to laypeople. It can serve as the multivariate common language effect size to compare not only two groups but also more than two groups.
Get full access to this article
View all access options for this article.
References
Supplementary Material
Please find the following supplemental material available below.
For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.
For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.
