Article

"Effect sizes for experimenting psychologists": Correction to Rosnow and Rosenthal (2003)

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Abstract

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)

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... While the current study provides evidence for the use of SCT variables in narrative persuasion research, it is not without its limitations. The effect sizes in the current study are rather small, although communication interventions typically have small effect sizes (Slater, 2004) as well as social science studies in general (Rosnow & Rosenthal, 2009). For instance, H1 was supported with a partial η2 of .03. ...
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... Regarding magnitude of differences, effect sizes in this study, unsurprisingly, are small to moderate; Rosnow and Rosenthal (2009) determined that the typical effect sizes in the social sciences are often very small. Additionally, according to Ferguson (2009), these effect sizes may not be indicative of the "true" effect when samples are too large, or when they are not selected randomly. ...
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... Regarding magnitude of differences, effect sizes in this study, unsurprisingly, are small to moderate; Rosnow and Rosenthal (2009) determined that the typical effect sizes in the social sciences are often very small. Additionally, according to Ferguson (2009), these effect sizes may not be indicative of the "true" effect when samples are too large, or when they are not selected randomly. ...
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... As regards effect sizes, in most cases the magnitude of the differences was small. This is not surprising given that, as highlighted by Rosnow and Rosenthal (2009), effect sizes commonly found in the social sciences are often very small. Furthermore, as already mentioned, the estimate of the effect size must be interpreted in the context of a particular study and area of research (Frías-Navarro et al., 2000), in this case social sciences. ...
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