effect size
Effect size is a quantitative measure that helps determine the strength or significance of a relationship or difference observed in research. For example, if a new teaching method improves test scores, the effect size tells us how much better the scores are compared to traditional methods. A larger effect size indicates a stronger impact, while a smaller one suggests a weaker effect. It helps researchers and readers understand not just whether something works, but how meaningful that effect is in practical terms.
Additional Insights
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Effect size is a statistical measure that helps us understand the strength or magnitude of a relationship or difference observed in data. Rather than simply indicating whether results are statistically significant (i.e., unlikely to have occurred by chance), effect size quantifies how large that difference or relationship is in practical terms. For example, if researchers find that a new teaching method improves test scores, the effect size would tell us how much better the scores are compared to traditional methods, providing insight into the real-world impact of the findings.