Rank Correlation

(redirected from rank correlations)
Also found in: Encyclopedia.

Rank Correlation

In statistics, the extent to which two rankings match each other. There are various systems to calculate rank correlation. However, rank correlation is expressed on a scale from -1 to +1. A measure of -1 indicates the rankings disagree perfectly (meaning they are opposite one another), while a measure of +1 means they agree perfectly (meaning they are the same). A measure of 0 means the rankings are independent of one another.
References in periodicals archive ?
Spearman's rank correlation indicated that most non-parametric measures were significantly (P<0.01) intercorrelated with parametric measures and therefore can be used as alternatives.
Considering these replacement rates (i.e., 10% for boars and 50% for sows), rank correlations in this Thai swine herd would indicate that first parity reproduction data would help identify replacement sows more accurately than replacement boars for their superiority for lifetime productivity.
The results of the experiments are listed in Table 1, which lists the Spearman rank correlation coefficients (with significance tests in the form of p-values) for the many-to-many minimum-weight matching distance, compared with the edit distance and the one-to-one minimum-weight matching distance, for all four datasets.
Table 1 shows that, in 1992, high total Medicare spending regions were most likely also to be high use in inpatient hospital spending and in home health spending (rank correlations of 0.786 and 0.535, respectively); this association was further strengthened by the end of the study period, in 2010 (rank correlations of 0.853 and 0.736, respectively).
However, the Spearman rank correlations (Exhibit 13) are not statistically significant for more than four of the industries in either case.
In order to understand the rank correlation between 2007 and 2008, Spearman rank correlations and Kendall's coefficient of concordance were used in this study.
This shows a positive correlation between the ranking of the project related factors under traditional and green building projects since a high value of rank correlation coefficient suggests a strong agreement between the two groups.
The Spearman rank correlation coefficients of the EQ-5D index and VAS score with MacNew subscale scores were calculated.
A Spearman Rank Correlation test and regression was performed for each of the four years using the two indices--Corruption Perception Index (CPI) and Country Competitiveness Score (CCS).
Using the rank correlations for MI as a benchmark, we do a t-test to see the improvements by CORDER, phi-squared, improved MI, Z score, and the two baseline algorithms.