Spearman's rank correlation is particularly useful when dealing with ordinal data or when the assumptions of normal distribution are violated. For instance, in patient surveys that use Likert scales, where responses are in ordinal form, Spearman's rank correlation is more appropriate than Pearson’s correlation.
