The Effect Size Calculator is a statistical tool used to measure the strength of a relationship or difference between two groups. It helps researchers and analysts understand the practical significance of a result, beyond just statistical significance. Common effect size measures include Cohen’s d, Hedge’s g, Pearson’s r, Eta-squared, and Odds Ratio.

Key Features

✅ Multiple Effect Size Measures – Supports Cohen’s d, Hedge’s g, Pearson’s r, Eta-squared, and Odds Ratio.
✅ Customizable Inputs – Enter raw data, group means & standard deviations, or correlation values.
✅ Guidance on Interpretation – Provides qualitative descriptions of effect sizes (e.g., small, medium, large).
✅ Graphical Visualization – Displays effect size distributions and comparison charts.
✅ PDF Report Generation – Export calculations, interpretations, and visual insights.

Use Cases

📌 Medical & Clinical Research – Assess the impact of a treatment compared to a control group.
📌 A/B Testing & Marketing Analytics – Measure the effect of different strategies on user behavior.
📌 Educational & Psychological Studies – Evaluate the impact of interventions on test scores or survey results.
📌 Financial & Business Analysis – Compare financial metrics across different periods or groups.

How It Works

1️⃣ Input Data – Choose from raw data entry, means & standard deviations, or correlation values.
2️⃣ Select Effect Size Metric – Choose from Cohen’s d, Hedge’s g, Pearson’s r, Eta-squared, or Odds Ratio.
3️⃣ Calculate Effect Size – The tool computes the selected effect size along with confidence intervals.
4️⃣ Interpret Results – Provides a qualitative explanation of the effect size strength.
5️⃣ Visualize & Export – View effect size graphs and download a detailed PDF report.

This tool simplifies effect size computation, making it essential for researchers, analysts, and data-driven professionals. 🚀