A concise table based on a general measure of magnitude of effect is presented. This table allows direct determinations of statistical power over a practical range of values and alpha levels. The table also facilitates the setting of the research sample size needed to provide a given degree of power.
Get full access to this article
View all access options for this article.
References
1.
Cohen, J.Some statistical issues in psychological research. In B. B. Wolman, (Ed.), Handbook of clinical psychology. New York: McGraw-Hill, 1965. Pp. 95-121.
2.
Cohen, J.Eta-squared and partial eta-squared in fixed factor ANOVA designs . EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1973, 33, 107-112.
3.
Cohen, J.Statistical power analysis for the behavioral sciences, New York, Academic Press, revised edition, 1977.
4.
Dixon, W. J. and Massey, F. J., Introduction to statistical analysis. (3rd ed.), McGraw-Hill, New York, 1969.
5.
Dodd, D. H. and Schultz, R. F.Computational procedures for estimating magnitude of effect for some analysis of variance designs. Psychological Bulletin, 1973, 79, 391-395.
6.
Dwyer, J. H. , Analysis of variance and the magnitude of effects: a general approach. Psychological Bulletin, 1974, 81, 731-737.
7.
Friedman, H.Magnitude of experimental effect and a table for its rapid estimation . Psychological Bulletin, 1968, 70, 245-251.
8.
Friedman, H.A simplified table for the estimation of magnitude of experimental effect . Psychonomic Science, 1969, 14, 193-195.
9.
Hays, W. F.Statistics for psychologists. (2nd ed.) New York: Holt, Rinehart & Winston, 1973.
10.
Keren, G. and Lewis, L.Partial omega squared for ANOVA designs. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 39, 1969, 119-128.
11.
Levy, P.Substantive significance of significant differences between two groups . Psychological Bulletin, 1967, 37-40.
12.
Sockloff, A. L. and Edney, J. N.Some extensions of Student's t and Pearson's r central distributions (Technical Report). Temple University Measurement and Research Center, 1972.
