The Spearman rank correlation coefficient allows us to measure and test to determine whether there is evidence of a linear relationship between two variables if:
A) one or both variables ordinal
B) both variables are interval but the normality requirement for parametric tests is not satisfied
C) both one or both variables ordinal and both variables are interval but the normality requirement for parametric tests is not satisfied
D) neither one or both variables ordinal nor both variables are interval but the normality requirement for parametric tests is not satisfied
E) none of these

Question

Quizplus · Accepted Answer

The Spearman rank correlation coefficient is a non-parametric measure of correlation, meaning it can be used when the data does not necessarily meet the normality assumption required for parametric tests. It is appropriate for use when at least one of the variables is ordinal or when both variables are interval/ratio but do not meet the normality requirement. This makes option C correct, as it encompasses both situations where the Spearman rank correlation coefficient would be applicable.

The Spearman Rank Correlation Coefficient Allows Us to Measure and Test