Spearman’s Rank Correlation Calculator

Work out Spearman’s rank correlation between two variables, for monotonic but non-linear links and ranked data.

Your details

Separate the values with commas or spaces

Separate the values with commas or spaces

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Result

Enter both variables in the same order, then press “Calculate”.

Analysis and suggestions

Once calculated, this shows what your result means and suggestions based on your numbers.

Behind the result

Work out Spearman’s rank correlation between two variables, for monotonic but non-linear links and ranked data.

Example · ρ = معامل بيرسون محسوبًا على رتب القيم؛ وبلا رتب متساوية: ρ = 1 − 6Σd² ÷ (n(n² − 1))

ρ = 1

How it is calculated

Comprehensive Calculator Guide

This calculator gives Spearman’s rank correlation ρ between two variables: it ranks the values (handling ties) and asks whether they rise together, whatever the shape. Accelerating growth gives ρ = 1 while Pearson is 0.906. It suits ranked data such as judges’ rankings and satisfaction surveys.

Spearman’s ρ

Rank each variable, ties sharing their average rank, and compute Pearson’s r on the ranks; without ties, ρ = 1 − 6Σd² ÷ (n(n² − 1)). Use it for ranks, curved monotonic links or outliers.

How to Use

  1. Enter the first variable or its ranks.
  2. Enter the second in the same order.
  3. Press “Calculate” to see ρ and Pearson’s r.

Formula Used

ρ = Pearson’s r on the ranks

Practical Examples

Example 1
Accelerating growth: 1.
Example 2
Two judges: 0.829.

Important Tips

  • Enter ranks directly if you have them.
  • Compare with Pearson.
  • Use the shortcut only without ties.

Common Mistakes to Avoid

  • The shortcut with many ties.
  • Misaligned pairs.
  • Ranking both lists together.

Frequently Asked Questions

What is it?
Pearson’s r on ranks.
Vs Pearson?
Monotonic vs linear.
Ties?
Average ranks.

Read Also

Results are estimates for educational purposes and may vary depending on your situation and data sources.