Wiley StatsRef: Statistics Reference Online 2014
DOI: 10.1002/9781118445112.stat05964
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Spearman Rank Correlation: Overview

Abstract: In a nonparametric (distribution‐free) approach to the correlation between two sets of measurements made on the same individuals, each set may be ranked in order of magnitude. The standard (Pearson) product‐moment correlation coefficient is calculated on the two sets of ranks. Simple formulae are available, and adjustments are made for tied ranks. Test and estimation procedures are described. The relationship with the Kendall rank correlation coefficient is discussed.

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Cited by 66 publications
(41 citation statements)
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“…Fisher's z scores of a correlation coefficient was estimated using the formula z = 0.5 × ln 1 + r 1 − r . A 2 (group: MCI vs. HC) × 2 (congruency: congruent vs. incongruent) repeated-measures ANOVA was performed on Fisher's z score (Zar, 2014). Group served as a betweensubjects factor.…”
Section: Eeg Data Analysismentioning
confidence: 99%
“…Fisher's z scores of a correlation coefficient was estimated using the formula z = 0.5 × ln 1 + r 1 − r . A 2 (group: MCI vs. HC) × 2 (congruency: congruent vs. incongruent) repeated-measures ANOVA was performed on Fisher's z score (Zar, 2014). Group served as a betweensubjects factor.…”
Section: Eeg Data Analysismentioning
confidence: 99%
“…The SGHS's test-retest reliability, alternate-form reliability, convergent validity and discriminant validity was computed using Spearman correlations. Comparisons between two forms of SGHS was done using Fisher's Z test (Myers & Sirois, 2006), which provides a test of significance between nonparametric correlation coefficients by converting them into standardized (z) scores (Zar, 2005).…”
Section: Resultsmentioning
confidence: 99%
“…Global distance preservation was measured using the Spearman rank correlation (ρ Sp ). It compares the distances for every pair of points between the original data space and the two-dimensional projection (Zar, 2005). Local distance preservations were measured by the proportion of neighbors identified in the projection.…”
Section: Comparing Stad To Other Dimensionality Reduction Methodsmentioning
confidence: 99%