A statistical measure quantifying the magnitude of difference between groups or the strength of a relationship between variables, providing information about practical significance beyond just statistical significance. Common measures include Cohen's d for mean differences and eta-squared for variance explained.
Example: Finding that therapy reduces depression scores by 1.2 standard deviations (large effect size) versus 0.2 standard deviations (small effect size).