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Cautionary Note on Reporting Eta-Squared Values from Multifactor ANOVA Designs
Charles A. Pierce
University of Memphis
Richard A. Block
Montana State University
Herman Aguinis
University of Colorado at Denver
The authors provide a cautionary note on reporting accurate eta-squared values from multifactor analysis of variance (ANOVA) designs. They reinforce the distinction between classical and partial eta-squared as measures of strength of association. They provide examples from articles published in premier psychology journals in which the authors erroneously reported partial eta-squared values as representing classical etasquared values. Finally, they discuss broader impacts of inaccurately reported etasquared values for theory development, meta-analytic reviews, and intervention programs.
Key Words: analysis of variance eta-squared partial eta-squared effect size
Educational and Psychological Measurement, Vol. 64, No. 6,
916-924 (2004)
DOI: 10.1177/0013164404264848

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