![]() If your values can be placed in "first, second, third…" order, you are dealing with ordinal data. ![]() If your data exhibit a non-linear relationship or are not normally distributed.The Spearman correlation analysis is to be used in any of the following circumstances when the underlying assumptions of the Pearson correlation are not met: In a monotonic relationship, the variables also tend to change together, but not necessarily at a constant rate. Spearman Rank Correlation evaluates the monotonic relationship between the ranked values. Linear means a relationship when two variables change in the same direction at a constant rate. The Pearson Product Moment Correlation tests the linear relationship between two continuous variables. The Spearman correlation is the nonparametric version of the Pearson correlation coefficient that measure the degree of association between two variables based on their ranks.
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