2006
DOI: 10.1037/1082-989x.11.1.72
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The meaning and suitability of various effect sizes for structured rater × ratee designs.

Abstract: Four types of analysis are commonly applied to data from structured Rater x Ratee designs. These types are characterized by the unit of analysis, which is either raters or ratees, and by the design used, which is either between-units or within-unit design. The 4 types of analysis are quite different, and therefore they give rise to effect sizes that differ in their substantive interpretations. In most cases, effect sizes based on between-ratee analysis have the least ambiguous meaning and will best serve the a… Show more

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Cited by 15 publications
(12 citation statements)
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“…To verify these assumptions, I ran a 3 ϫ 3 mixedfactor ANOVA with faces as the unit of analysis (Hönekopp, Becker, & Oswald, 2006). Thus, race of judge was a within-unit factor, and race of face was a between-units factor.…”
Section: Resultsmentioning
confidence: 99%
“…To verify these assumptions, I ran a 3 ϫ 3 mixedfactor ANOVA with faces as the unit of analysis (Hönekopp, Becker, & Oswald, 2006). Thus, race of judge was a within-unit factor, and race of face was a between-units factor.…”
Section: Resultsmentioning
confidence: 99%
“…As Hanel & Mehler (2019) demonstrated, the CLES may be a more intuitive description of the signal-to-noise SMD. While our personal recommendation leans towards the use of magnitude-based SMDs and CLES, it is up to the individual sport and exercise scientist to decide what effect size they feel is most appropriate for the data they are analyzing and point they are trying to communicate ( Hönekopp, Becker & Oswald, 2006 ).…”
Section: Recommendations For Reporting Effect Sizesmentioning
confidence: 99%
“…Here, positive effect sizes indicate an amelioration of drinking outcomes over time while negative effect sizes indicate a worsening. Effect sizes derived from test statistics may conflate the magnitude of an effect and its homogeneity across participants [31] and to avoid this we computed d directly from means and standard deviations.…”
Section: Discussionmentioning
confidence: 99%