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Hedges' G Calculator
About the Hedges’ G Calculator
The Hedges' G Calculator is a precise, scientifically validated tool designed to compute Hedges' g, an unbiased standardized mean difference effect size measure. Developed by statistician Larry Hedges in 1981, Hedges' g corrects for small-sample bias inherent in Cohen's d, making it the preferred metric for accurate effect size estimation, particularly in meta-analyses and studies with modest sample sizes.
Importance of the Hedges’ G Calculator
Hedges' g is crucial because traditional p-values only indicate statistical significance, not practical importance. Effect sizes like Hedges' g quantify the magnitude of differences between groups in standard deviation units, enabling comparisons across studies with different scales or populations. This tool is indispensable in meta-analyses, where synthesizing evidence from multiple studies requires unbiased, comparable metrics. Unlike Cohen's d, which overestimates effects in small samples (bias up to 4% for n<50), Hedges' g applies a correction factor J, derived from the Gamma function, for unbiased estimation.
Purpose of Hedges’ G Tools
The primary purpose is to provide a standardized, bias-corrected measure of effect size for two-group comparisons (e.g., treatment vs. control). It facilitates power analysis, sample size planning, and interpretation of practical significance. In meta-analysis, Hedges' g weights studies by precision (inverse variance), yielding robust summary effects. This calculator implements the exact formula: pooled SD weighted by sample sizes, followed by the Hedges correction J = Γ(df/2) / [√(df/2) * Γ((df-1)/2)], where df = n1 + n2 - 2.