Tables and Procedures for the Determination of Power and Sample Sizes in Univariate and Multivariate Analyses of Variance and Regression
- 1 January 1986
- journal article
- research article
- Published by Wiley in Biometrical Journal
- Vol. 28 (6) , 647-663
- https://doi.org/10.1002/bimj.4710280602
Abstract
The available power tables for use in experimental design only serve for limited practical purposes, since they are restricted to very few levels of significance such as .01, .05, and .10. With these values, however, usually no correction for cumulating error probabilities, for example, by the Dunn‐Bonferroni method, can be achieved, because (very) low values of a and sometimes even of α are necessary. Therefore, power tables are presented that encompass a wide range of different values for a (.0005 to .40), for power (.50 to .9995), and for 45 different values of the degrees of freedom for the numerator of the F ratio (u = 1 to 150). Four of the 16 tables are printed. Their use is demonstrated for some paradigmatic problems in univariate and multivariate analyses of variance and regression.Keywords
This publication has 16 references indexed in Scilit:
- Tables and Applications of the Bonferronit-Statistics: A Revision of Dunn's Simultaneoust-TestsBiometrical Journal, 1984
- Tables of the critical values for simultaneous and sequential Bonferroni-z-testsBiometrical Journal, 1982
- Power Tables for Analysis of VarianceEducational and Psychological Measurement, 1978
- Sample Size Requirements for theT2Test of MANOVA (Tables for One‐way Classification)Biometrical Journal, 1978
- Comparative Robustness of Six Tests in Multivariate Analysis of VarianceJournal of the American Statistical Association, 1974
- More Tables of the Power of the F-TestJournal of the American Statistical Association, 1972
- Tables of the Power of the F-TestJournal of the American Statistical Association, 1967
- Theory-Testing in Psychology and Physics: A Methodological ParadoxPhilosophy of Science, 1967
- A note on approximating to the non-central F distributionBiometrika, 1966
- Multiple Comparisons among MeansJournal of the American Statistical Association, 1961