Effect Size


t-test reports statistical significance associated with a p value – But says nothing about practical significance.
If standard deviations are small enough (especially in repeated measures design), there may be a significant difference in means, but are not large enough for practical usefulness.
Omega squared and effect size are methods to determine the usefulness of the mean difference.
Omega squared – estimate of the percentage of the total variance that is explained by the independent variable.
Effect size – estimated by the ratio of the mean difference of the groups divided by the standard deviation of the control group or pooled variance of the treatment group
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Page last updated: Dec 6, 2022 @ 4:21 am

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