The Spearman rank correlation coefficient (Spearman ρ) is a nonparametric measurement correlation. It is used to determine the relation existing between two sets of data.
HISTORY
Spearman, Charles was a psychologist. In 1904 he introduced for the first time the rank correlation coefficient. Often called the ρ of Spearman, it is one of the oldest rank statistic.
MATHEMATICAL ASPECTS
Let \( { (X_1,X_2,\ldots,X_n) } \) and \( { (Y_1,Y_2,\ldots,Y_n) } \) be two samples of size n. \( { R_{X_i} } \) denotes the rank of X i compare to the other values of the X sample, for \( { i=1,2,\ldots,n } \). \( { R_{X_i}=1 } \) if X i is the smallest value of X, \( { R_{X_i}=2 } \) if X i is the second smallest value, etc., until \( { R_{X_i}=n } \) if X i is the largest value of X. In the same way, \( { R_{Y_i} } \) denotes the rank of Y i , for \( { i=1,2,\ldots,n } \).
The Spearman rank correlation coefficient, generally denoted by ρ, is defined by:
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REFERENCES
Glasser, G.J., Winter, R.F.: Critical values of the coefficient of rank correlation for testing the hypothesis of independance. Biometrika 48, 444–448 (1961)
Spearman, C.: The Proof and Measurement of Association between Two Things. Am. J. Psychol. 15, 72–101 (1904)
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(2008). Spearman Rank Correlation Coefficient. In: The Concise Encyclopedia of Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-32833-1_379
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DOI: https://doi.org/10.1007/978-0-387-32833-1_379
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