Correlation · COR-2I
Sample Size for Test of Two Independent Correlations
Plan a test comparing correlation coefficients measured in two independent groups.
3. Results
Enter the two-correlation assumptions and select Calculate.
Suggested sample-size wording
Warnings
Formula, assumptions, limitations, and methodological note
Example clinical scenario
A researcher wants to compare the correlation between body mass index and systolic blood pressure in adults with type 2 diabetes versus adults without diabetes. Because the two correlations come from separate participant groups, they are independent.
Formula and methodological note
The calculator preserves the Fisher-z normal-approximation formula for comparing two independent correlations. The two planning correlations are transformed and combined with the selected Type I error, power, and allocation ratio.
The groups must be independent and measure the same pair of continuous variables using comparable definitions. The allocation ratio is group 2 divided by group 1. The preserved method restricts both correlations to non-negative values below 1.
Group 1 is rounded upward first and group 2 is derived from that rounded size. The total is then inflated for dropout/non-response. The method does not address dependent correlations, covariate adjustment, clustering, non-linearity, measurement error, or multiplicity.
Technical results
Method references
- Fisher RA. On the probable error of a coefficient of correlation deduced from a small sample. Metron. 1921;1:3–32.
- Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale: Lawrence Erlbaum Associates; 1988.
Suggested citation
Yaacob, Najib Majdi. “Sample Size for Comparison of Two Independent Correlations (COR-2I).” Web calculator. NajibMY, 2026. Accessed July 29, 2026. https://najibmy.netlify.app/tools/sample-size/correlation/two-correlations/.