Generalized eta and omega squared statistics: measures of effect size for some common research designs.

@article{Olejnik2003GeneralizedEA,
  title={Generalized eta and omega squared statistics: measures of effect size for some common research designs.},
  author={S. Olejnik and James Algina},
  journal={Psychological methods},
  year={2003},
  volume={8 4},
  pages={434-47}
}
The editorial policies of several prominent educational and psychological journals require that researchers report some measure of effect size along with tests for statistical significance. In analysis of variance contexts, this requirement might be met by using eta squared or omega squared statistics. Current procedures for computing these measures of effect often do not consider the effect that design features of the study have on the size of these statistics. Because research-design features… CONTINUE READING
Highly Influential
This paper has highly influenced 30 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 345 extracted citations

Evaluation of Spatial/3D Audio: Basic Audio Quality Versus Quality of Experience

IEEE Journal of Selected Topics in Signal Processing • 2017
View 14 Excerpts
Highly Influenced

Brain size, sex, and the aging brain.

View 4 Excerpts
Highly Influenced

Effect size estimates: current use, calculations, and interpretation.

Journal of experimental psychology. General • 2012
View 6 Excerpts
Highly Influenced

Handheld Augmented Reality in education

Carmen Juan Lizandra
2012
View 4 Excerpts
Highly Influenced

References

Publications referenced by this paper.
Showing 1-10 of 30 references

Metaanalysis in social research

G. V. Glass, B. McGaw, M. L. Smith
1981
View 5 Excerpts
Highly Influenced

A Monte Carlo investigation of three estimates of treatment magnitude: Epsilon squared, eta squared, and omega squared

H. Keselman
Canadian Psychological Review, • 1975
View 5 Excerpts
Highly Influenced

Computational procedures for estimating magnitude of effects for some analysis of variance designs

D. H. Dodd, R. F. Schultz
Psychological Bulletin, • 1973
View 4 Excerpts
Highly Influenced

Measures of effect size

J.T.E. Richardson
Behavioral Research Methods, Instruments, & Computers, • 1996
View 4 Excerpts
Highly Influenced

Design and analysis: A researcher’s handbook

G. Keppel
1991
View 4 Excerpts
Highly Influenced

Intermediate statistics: A modern approach (2nd ed.)

J. Stevens
Mahwah, NJ: Erlbaum • 1999
View 2 Excerpts

Correcting effect sizes computed from factorial analysis of variance for use in meta-analysis

S. B. Morris, R. P. DeShon
Psychological Methods, • 1997
View 1 Excerpt

Similar Papers

Loading similar papers…