# Spearman’s Rank Correlation

**Use:** Spearman’s correlation test assesses the **strength and direction of association** between two ranked variables. It's used when variables might not have a linear relationship, as it focuses on the monotonic relationship between variables.

**Example:** Research on how well people ranked in a music competition correlates with their years of training.

<figure><img src="/files/UW1sjAAij6L9JaDrCLQ9" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
**Column Requirement:** Ordinal or ranked data.
{% endhint %}

**Steps:**

1. Select two columns with ordinal or ranked data (e.g., ranks or orders).
2. Ensure that the relationship between the variables is monotonic, not necessarily linear.
3. Calculate the Spearman's rank correlation coefficient.
4. Interpret the correlation coefficient; a value close to +1 or -1 indicates a strong monotonic relationship.


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