The Spearman rank order correlation coefficient differs from the Pearson correlation coefficient in that the Spearman rank order correlation:
A. is used for linear relationships, whereas the Pearson correlation coefficient is used for curvilinear relationships.
B. assumes that variables have a normally distributed population, whereas the Pearson correlation coefficient assumes that variables have a uniform distribution.
C. is used when variables have been measured using ordinal scales, whereas the Pearson correlation coefficient is used when variables have been measured using ratio scales.
D. is a qualitative measure of the degree of variation, whereas the Pearson correlation coefficient is a quantitative measure of the degree of variation.
E. primarily establishes a weak association between variables, whereas the Pearson correlation coefficient establishes a strong association between variables.
Answer: C
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