Spearman S Correlation Interpretation. It assesses how well the relationship between two variables can be described using a monotonic function. It is a useful test when pearson s correlation cannot be run due to violations of normality a non linear relationship or when ordinal variables are being used.
Spearman s correlation is now computed as the pearson correlation over the mean ranks. It is a useful test when pearson s correlation cannot be run due to violations of normality a non linear relationship or when ordinal variables are being used. A spearman correlation coefficient is also referred to as spearman rank correlation or spearman s rho.
The spearman rank order correlation coefficient spearman s correlation for short is a nonparametric measure of the strength and direction of association that exists between two variables measured on at least an ordinal scale.
If you set α 0 05 achieving a statistically significant spearman rank order correlation means that you can be sure that there is less than a 5 chance that the strength of the relationship you found your ρ coefficient happened by chance if the null hypothesis were true. It is a useful test when pearson s correlation cannot be run due to violations of normality a non linear relationship or when ordinal variables are being used. To be more precise it measures the extent of correspondence between the ordering of two random variables. The spearman correlation coefficient is often denoted by the symbol rs or the greek letter ρ pronounced rho.
