Effect Size as a Measure of Difference Between Two Populations
- Cliff’s δ
Probability that a unit picked at random from one group will have a higher response than a unit picked at random from another group, for groups typically identified as treatment and control. Also known as the probability of superiority or the precedence probability.
- Cohen’s d
Standardized difference in two independent sample means, standardized using average variance, used as a measure effect size.
- Cohen’s h
Arcsine-transformed difference in two proportions that are typically used as a measure of distance between two groups.
- Cramér’s V
- Effect size
Difference in outcome between two (or more) groups.
- Glass’ Δ
Standardized difference in two independent sample means typically used as a measure effect size when the groups are classified as treatment and control.
- Hodges’ g
Standardized difference in two independent sample means, standardized using a pooled (i.e., weighted) variance, used as a measure effect size.
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