Сравнение методов

	Effect Size in Education Research	Effect Size
Область	Education	Статистика исследований
Семейство	Process / pipeline	Process / pipeline
Год появления	1988	1988
Автор метода	Statistical methodology (Cohen; Glass; Hedges & Olkin) applied in education	Jacob Cohen
Тип	Standardized index of the magnitude of an effect or difference	Concept
Основополагающий источник	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 9780805802832	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 0-8058-0283-5
Другие названия	Educational Effect Size, Standardized Mean Difference in Education, Hedges' g in Education, Effect Size Reporting	ES, Cohen's d, standardized effect, practical significance
Связанные	2	4
Сводка	An effect size is a standardized, scale-free measure of the magnitude of a difference or relationship — how big an effect is, not just whether it is statistically significant. In education research it is the common currency for reporting intervention impacts and for combining studies in meta-analysis, with the standardized mean difference (Cohen's d, or its bias-corrected form Hedges' g) the most familiar. Effect sizes let researchers compare effects across studies, outcomes, and scales, and translate statistical results into terms practitioners can weigh.	Effect size quantifies the magnitude of a research finding independent of sample size. While a p-value tells you whether a result is statistically significant, an effect size tells you how big the result is. Jacob Cohen formalized effect size measurement in behavioral sciences (1988), establishing standard benchmarks (small = 0.2, medium = 0.5, large = 0.8 for Cohen's d). Effect sizes are essential for meta-analysis, power analysis, and communicating the practical importance of research findings.