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Answer» Merits of Spearman’s rank correlation method : The merits of Spearman’s rank correlation method are as follows: - This method is easy to understand.
- In calculating correlation coefficient, this method is easier than that of Karl Pearson’s method.
- When the related data is qualitative, this is the only method to find the measure of correlation.
- When there is more dispersion in the related numerical data or the extreme observations are present in the data, Spearman’s method is preferred than Karl Pearson’s method.
Limitations: Following are the limitations of Spearman’s rank correlation method: - This method does not provide accurate measure of correlation coefficient as compared to Karl Pearson’s method.
- It is tedious to assign ranks when the number of observations is large.
- This method cannot be used for a bivariates frequency distribution.
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