Cautionary note on reporting eta-squared values from multifactor anova designs
Abstract
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 eta-squared values. Finally, they discuss broader impacts of inaccurately reported eta-squared values for theory development, meta-analytic reviews, and intervention programs.
Publication Title
Educational and Psychological Measurement
Recommended Citation
Pierce, C., Block, R., & Aguinis, H. (2004). Cautionary note on reporting eta-squared values from multifactor anova designs. Educational and Psychological Measurement, 64 (6), 916-924. https://doi.org/10.1177/0013164404264848
