Effect size quantifies the strength of an effect or the magnitude of a difference between groups. Common measures include Cohen's d (difference between means), correlation coefficient r, or odds ratios. Effect size is independent of sample size, unlike p-values which depend on both effect size and sample size. A result can be statistically significant (small p-value) with negligible effect size.