Effect sizes measure the magnitude of a difference or relationship, offering practical significance beyond p-values. Researchers use them to compare results across studies, while clinicians and policymakers rely on them to assess real-world impact. Students, analysts, and data scientists benefit by interpreting findings clearly, making effect sizes essential for evidence-based decisions in fields like psychology, medicine, and education.
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