Reports an error in "Effect sizes for experimenting psychologists" by Ralph L. Rosnow and Robert Rosenthal (Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale, 2003[Sep], Vol 57[3], 221-237). A portion of the note to Table 1 was incorrect. The second sentence of the note should read as follows: Fisher’s ʐr is the log transformation of r, that is, ½ loge [(1 + r)/(1 - r)]. (The following abstract of the original article appeared in record 2003-08374-009.) [Correction Notice: An erratum for this article was reported in Vol 63(1) of Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale (see record 2009-03064-004). Correction for Note in TABLE 1 (on page 222): The second sentence should read as follows: Fisher’s zr is the log transformation of r, that is, 1⁄2 loge[(1 + r)/(1 − r)].] This article describes three families of effect size estimators and their use in situations of general and specific interest to experimenting psychologists. The situations discussed include both between- and within-group (repeated measures) designs. Also described is the counternull statistic, which is useful in preventing common errors of interpretation in null hypothesis significance testing. The emphasis is on correlation (r-type) effect size indicators, but a wide variety of difference-type and ratio-type effect size estimators are also described. (PsycINFO Database Record (c) 2012 APA, all rights reserved)