In the last lectures I talked about Pearson’s r, which measures the relationship between two continuous (interval or ratio scale) variables.
| Spearman Correlation | 
|---|
| 
 The Spearman correlation is used when: 
 1. Measuring the relationship between two ordinal variables. 2. Measuring the relationship between two variables that are related, but not linearly.  | 
Below is an example of some data that is related in a non-linear fashion. For this, we would use the Spearman correlation:
 
 | 
Figure 1. | 
|---|
Let's calculate the Spearman correlation for the following data set:
 
 | 
Figure 2. | 
|---|
To calculate the Spearman correlation, we must first rank the scores:
 
 | 
Figure 3. | 
|---|
We then calculate the correlation using these new ranks:
 
 | 
Figure 4. | 
|---|
We find an r of -1.00, meaning that our data has a negative relationship. As x increases, y decreases. As x decreases, y increases.