Common language effect size for correlations. Issue 3 (3rd July 2019)

• Record Type: Journal Article
• Authors: Liu, Xiaofeng Steven; Carlson, Ryan; Kelley, Ken
• Is Part Of: Journal of general psychology. Volume 146:Issue 3(2019)
• Page Start: 325
• Page End: 338
• Publication Date: 2019-07-03
• Subjects: Common language effect size -- correlation; Psychology, Experimental -- Periodicals; Psychology -- Periodicals; 150.724
• DOI: 10.1080/00221309.2019.1585321
• Languages: English
• ISSNs: 0022-1309

Abstract

Abstract: The Pearson correlation coefficient can be translated to a common language effect size, which shows the probability of obtaining a certain value on one variable, given the value on the other variable. This common language effect size makes the size of a correlation coefficient understandable to laypeople. Three examples are provided to demonstrate the application of the common language effect size in interpreting Pearson correlation coefficients and multiple correlation coefficients.