Rank-difference Correlation Coefficient (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 coefficient is often used to determine the strength and direction of a relationship between two ranked variables in non-parametric tests.
- In Spearman's rank correlation coefficient, the difference between ranks is used to compute the correlation between the two variables.
- Researchers commonly use the rank-difference correlation coefficient to evaluate the association between ordinal data and a continuous variable.
- To compute the rank-difference correlation coefficient, first, rank the data from each variable and then calculate the difference between corresponding ranks.
- When dealing with ordinal data, the rank-difference correlation coefficient provides a more accurate representation of the relationship between variables compared to traditional correlation coefficients.