Worked Example: Worked Mathematical Example: Cohen’s d & Hedges’ g
Compute pooled Cohen’s d, Hedges’ g correction, Glass’s Δ, and variance explained r².
- Specify the function parameters, matrix entries, or confusion matrix counts.
- Apply the closed-form or iterative formula: s_pooled = √[ ((n₁−1)s₁² + (n₂−1)s₂²) / (n₁+n₂−2) ]; d = (M₁ − M₂) / s_pooled; g = d × [1 − 3/(4(n₁+n₂−2) − 1)].
- Examine the primary result, error bounds, and 3 interactive SVG plots.
Result: Computes Cohen’s d & Hedges’ g via s_pooled = √[ ((n₁−1)s₁² + (n₂−1)s₂²) / (n₁+n₂−2) ]; d = (M₁ − M₂) / s_pooled; g = d × [1 − 3/(4(n₁+n₂−2) − 1)].
Mathematics & Statistics · Non-Parametric & Hypothesis Testing
Cohen’s d, Small-Sample Bias-Corrected Hedges’ g & Glass’s Δ Effect Size Calculator: inputs, method, and how to read the result
Compute pooled Cohen’s d, Hedges’ g correction, Glass’s Δ, and variance explained r².
Choose inputs for the case you are checking
The defaults are illustrative. Replace them with values for your case and keep the units shown beside each field.
- Group1 Mean: Treatment / Group 1 Mean (M₁).
- Group1 Sd: Treatment / Group 1 Standard Deviation (s₁).
- Group1 N: Treatment / Group 1 Sample Size (n₁).
- Group2 Mean: Control / Group 2 Mean (M₂).
What the calculation includes
With the default values shown, Pooled Cohen’s d Effect Size is 0.693 SD units. The calculation follows Cohen’s d & Hedges’ g Formula; the formula and variable definitions above show how the inputs combine.
One-input check: With the other defaults held constant, changing Group1 Mean from 78.5 M₁ to 86.35 M₁ changes Pooled Cohen’s d Effect Size from 0.693 SD units to 1.419 SD units. This is a comparison inside the calculator's stated model, not a prediction.
Where to use caution
- Uses exact analytical or standard numerical analysis formulations from NIST DLMF.
- Double-precision floating-point arithmetic has ~15–17 significant decimal digits of precision.
Scope: Global Mathematical & Statistical Standard Check the assumptions and limitations against your situation before relying on the estimate.
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