Rank-difference Correlation (Noun)
Meaning
The most commonly used method of computing a correlation coefficient between the ranks of scores on two variables.
Classification
Nouns denoting cognitive processes and contents.
Examples
- The rank-difference correlation is often used to determine the strength and direction of the relationship between two variables in non-parametric data analysis.
- The Spearman rank-difference correlation coefficient is the most commonly used method of computing a correlation coefficient between the ranks of scores on two variables.
- Researchers opted to use the rank-difference correlation instead of the traditional Pearson correlation coefficient to account for the ordinal nature of their data.
- Statistical analysis revealed a moderate rank-difference correlation between the ranks of the students' test scores and their corresponding ranks in the class.
- In the non-parametric test, the rank-difference correlation suggested a strong positive relationship between the ranks of the dependent and independent variables.