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##### Asked by: Yanhong Faulbruck

science physics# What is Spearman correlation used for?

Last Updated: 1st March, 2020

**Spearman correlation**is often

**used**to evaluate relationships involving ordinal variables. For example, you might

**use**a

**Spearman correlation**to evaluate whether the order in which employees complete a test exercise is related to the number of months they have been employed.

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Consequently, why would you use Spearman's rank?

**Spearman's Rank** correlation coefficient **is** a technique which **can** be **used to** summarise the strength and direction (negative or positive) of a relationship between two variables. The result **will** always be between 1 and minus 1. Create a table from your data. **Rank** the two data sets.

Secondly, what is the difference between Pearson and Spearman correlation? The **difference between** the **Pearson correlation** and the **Spearman correlation** is that the **Pearson** is most appropriate for measurements taken from an interval scale, while the **Spearman** is more appropriate for measurements taken from ordinal scales.

One may also ask, what does Spearman correlation mean?

**Spearman's correlation** measures the strength and direction of monotonic association between two variables. Monotonicity is "less restrictive" than that of a linear relationship. However, you **would** normally pick a measure of association, such as **Spearman's correlation**, that fits the pattern of the observed data.

What is Pearson correlation used for?

**Pearson's Correlation Coefficient**. **Correlation** is a technique for investigating the relationship between two quantitative, continuous variables, for example, age and blood pressure. For **correlation** only purposes, it does not really matter on which axis the variables are plotted.