Practical Formulas of Strength of Association Measures
- 1 December 1982
- journal article
- Published by SAGE Publications in Educational and Psychological Measurement
- Vol. 42 (4) , 969-974
- https://doi.org/10.1177/001316448204200404
Abstract
Several authors have encouraged the use of strength of association measures as a step beyond tests of significance. However, it is still rare to see these measures reported in the literature. Since most journals do not publish complete ANOVA tables, it is generally not possible for readers to compute these measures for themselves. Practical formulas for several ANOVA designs and models are presented which make it possible for readers to compute these measures without the use of complete ANOVA tables.Keywords
This publication has 7 references indexed in Scilit:
- Significance tests and their interpretation: An example utilizing published research and ω2Bulletin of the Psychonomic Society, 1976
- Analysis of variance and the magnitude of effects: A general approach.Psychological Bulletin, 1974
- Computational procedures for estimating magnitude of effect for some analysis of variance designs.Psychological Bulletin, 1973
- Estimating the magnitude of experimental effects.Psychological Bulletin, 1969
- Beyond tests of significance: Estimating strength of effects in selected ANOVA designs.Psychological Bulletin, 1969
- Magnitude of experimental effect and a table for its rapid estimation.Psychological Bulletin, 1968
- On a Preliminary Test for Pooling Mean Squares in the Analysis of VarianceThe Annals of Mathematical Statistics, 1950