Cautionary Note on Reporting Eta-Squared Values from Multifactor ANOVA Designs

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 prem...

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Bibliographic Details
Published in:Educational and psychological measurement 2004-12, Vol.64 (6), p.916-924
Main Authors: Pierce, Charles A., Block, Richard A., Aguinis, Herman
Format: Article
Language:English
Subjects:
Biological and medical sciences
Effect Size
Errors
Evaluation Methods
Fundamental and applied biological sciences. Psychology
Measurement Techniques
Psychological Studies
Psychology
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Psychometrics. Statistics. Methodology
Research Methodology
Statistical Analysis
Statistics. Mathematics
Studies
Variance analysis
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Summary: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.
ISSN:0013-1644
1552-3888
DOI:10.1177/0013164404264848