Real-time calculation of Cohen's d, Pearson's r, Eta-squared, Odds Ratio, R², Cramer's V, and more
Small: d ≈ 0.2 | Medium: d ≈ 0.5 | Large: d ≥ 0.8
Cohen's d measures the difference between two means in standard deviation units.
Small: r ≈ 0.1 | Medium: r ≈ 0.3 | Large: r ≥ 0.5
Pearson's r measures the strength and direction of linear relationship between two variables.
Small: η² ≈ 0.01 | Medium: η² ≈ 0.06 | Large: η² ≥ 0.14
Eta-squared represents the proportion of variance in the dependent variable explained by the independent variable.
| Measure | Value | Magnitude |
|---|---|---|
| Cohen's d | 0.85 | Large |
| Pearson's r | 0.65 | Large |
| Eta-squared | 0.42 | Large |
| Odds Ratio | 2.50 | Medium |
| R-squared | 0.35 | Medium |
Click any button to open the specific calculator with pre-filled example data.
Effect sizes are crucial statistical measures that quantify the magnitude of a relationship or difference between variables. Unlike p-values, which only tell you if an effect exists, effect sizes tell you how large that effect is. Our Effect Size Calculator provides real-time calculations for the most common effect size measures used in research and data analysis.
Choose from Cohen's d for mean differences, Pearson's r for correlations, Eta-squared for ANOVA results, or other specialized calculators.
Enter your statistical values in the appropriate fields. The tool includes example data to help you get started.
As you type, the calculator updates results instantly. The interpretation section helps you understand the magnitude.
Use the comparison table to view all your effect sizes together. Export results for your reports or presentations.
Effect size is increasingly recognized as an essential complement to statistical significance testing. While p-values can be influenced by sample size, effect sizes provide a standardized measure of practical significance. Our tool helps researchers, students, and analysts quickly compute and interpret these crucial statistics.
When reporting research results, always include both statistical significance (p-values) and effect sizes. This provides a more complete picture of your findings and helps readers understand the practical importance of your results.
This effect size calculator is designed to be found by researchers, students, and analysts searching for statistical tools. With proper SEO implementation including relevant keywords like "Cohen's d calculator," "effect size calculation," and "statistical analysis tool," this resource helps users quickly find the tool they need for their research projects.