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Effect Size (video)
- Definition from Wikipedia
Effect size
In statistics, effect size is a measure of the strength of the relationship between two variables. In scientific experiments, it is often useful to know not only whether an experiment has a statistically significant effect, but also the size of any observed effects.
Effect size is measured with either eta squared (R2) or omega squared (W2).
*Note: "Effect size means how big is your difference
(between groups)." - Statmaster C
**Note: "The effect size value represents the percentage of variance
accounted for in our groups...meaning between group
variance." - Statmaster C
***Note: Effect size is related to power.
An example by the most awesome
Statmaster C
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