Spearman rank correlation coefficient

Spearman rank correlation coefficient

a NONPARAMETRIC STATISTICS test used for ordinal data (see CRITERIA AND LEVELS OF MEASUREMENT) when a CORRELATION between two VARIABLES is to be measured.

This test uses a ranking procedure to assess the degree of correlation. For example, if it is hypothesized that suicide rates in different countries vary with levels of church attendance, the suicide rates are put in rank order in one column, and the levels of church attendance are separately ranked in another. The correlation coefficient is calculated by a formula which uses the differences between the rankings.

References in periodicals archive ?
The spearman rank correlation coefficient calculated was (0.32) and the p-value was (p=0.556).
Spearman Rank Correlation Coefficient was used in the article of Marie Therese Puth [23] to descript the correlation of two vectors.
For this study, construct validity of the TESS was determined by calculating the Spearman rank correlation coefficient between the TESS and the SF-36 dimension and summary scale scores.
Spearman rank correlation coefficient (a non-parametric method) was used to assess the degree of correlation between DAS, ESR, and the different PET parameters.
Therefore, only those independent variables were presented for which the absolute value of the Spearman rank correlation coefficient exceeded 0.60.
The researchers used Spearman Rank correlation coefficient to determine if the BRAS was correlated with the length of hospital stay.
Assuming that [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] are two rank sequences and n is the number of variables, when there are no ties, Spearman rank correlation coefficient is calculated as
We calculated Spearman rank correlation coefficient of the cytokines concentrations with the morphological conclusion (the absence or presence of endometrial hyperplasia or endometrial polyp).
Bland-Altmann analysis was used to demonstrate agreement between methods, and Spearman rank correlation coefficient (r) was calculated for the correlation.
with mean income With Gini Spearman rank correlation coefficient 0.97 -0.21 Pearson correlation coefficient 0.96 -0.10 Mimicking Ram's cross-country pattern (1992, p.
Frequency distributions, Pearson's product-moment correlation coefficient (r), and Spearman rank correlation coefficient ([r.sub.s]) were used.