Use Of Rank Correlation. For example the data set X 1 2 2 5 has the same ranks as the set Y. Spearmans rank order correlation coefficient is used to determine the relationship between two sets of ordinal data.
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Spearmans Rank Correlation Coefficient This method is useful for correlation analysis when variables are expressed in qualitative terms like beauty judgment intelligence honesty etc. The rank correlation is invariant under any monotonic. It can be any value from -1 to 1 and the closer the absolute value of the coefficient to 1 the stronger the relationship.
Fortunately it tends to get rather less abused mainly because the assumption of linearity is relaxed.
Method - calculating the coefficient Create a. It determines the degree to which a relationship is monotonic ie whether there is a monotonic component of the association. 1 is a perfect positive correlation -1 is a perfect negative correlation. Use Spearmans correlation for data that follow curvilinear monotonic relationships and for ordinal data.
