Cohen's d is a statistical measure used to quantify the effect size, or the magnitude of difference between two groups, expressed in terms of standard deviations. This metric helps researchers understand how meaningful the difference is in practical terms, particularly when considering the sample size needed for studies and conducting power analysis. It plays a critical role in interpreting results beyond mere statistical significance by providing context to the findings.
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