Multivariate Common Language Effect Size. (January 2015)

• Record Type: Journal Article
• Authors: Liu, Xiaofeng Steven
• Is Part Of: Therapeutic innovation & regulatory science. Volume 49:Number 1(2015:Jan.)
• Page Start: 126
• Page End: 131
• Publication Date: 2015-01
• Subjects: multivariate effect size -- Mahalanobis distance -- discriminant function; Drugs -- Periodicals; Pharmacology -- Periodicals; Drugs -- Research -- Periodicals; Drugs -- Testing -- Periodicals; 615.1
• DOI: 10.1177/2168479014542603
• Languages: English
• ISSNs: 2168-4790

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.