Spearman rank-order correlation coefficient

E622306

correlation coefficient measure of statistical dependence nonparametric statistic rank correlation coefficient

The Spearman rank-order correlation coefficient is a nonparametric statistical measure that assesses the strength and direction of a monotonic relationship between two ranked variables.

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All labels observed (5)

Label	Occurrences
Spearman rank correlation	2
Spearman rank correlation coefficient	1
Spearman rank correlation test	1
Spearman rank-order correlation coefficient canonical	1
Spearman’s rho	1

How this entity was disambiguated

This entity first appeared as the object of triple T6824191 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Spearman rank-order correlation coefficient
Context triple: [Charles Spearman, knownFor, Spearman rank-order correlation coefficient]

A. Fisher's exact test
Fisher's exact test is a statistical significance test used to determine whether there are nonrandom associations between two categorical variables in a contingency table, especially with small sample sizes.
B. Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
C. Kruskal–Wallis test
The Kruskal–Wallis test is a nonparametric statistical method used to determine whether there are statistically significant differences between the medians of three or more independent groups.
D. PairWise Rankings
PairWise Rankings is a statistical system used to compare and rank NCAA Division I men's ice hockey teams, closely mirroring the criteria used for at-large selection to the national tournament.
E. Hotelling’s T-squared distribution
Hotelling’s T-squared distribution is a multivariate generalization of Student’s t-distribution used primarily for hypothesis testing and constructing confidence regions for mean vectors in multivariate statistics.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Spearman rank-order correlation coefficient
Target entity description: The Spearman rank-order correlation coefficient is a nonparametric statistical measure that assesses the strength and direction of a monotonic relationship between two ranked variables.

A. Fisher's exact test
Fisher's exact test is a statistical significance test used to determine whether there are nonrandom associations between two categorical variables in a contingency table, especially with small sample sizes.
B. Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
C. Kruskal–Wallis test
The Kruskal–Wallis test is a nonparametric statistical method used to determine whether there are statistically significant differences between the medians of three or more independent groups.
D. PairWise Rankings
PairWise Rankings is a statistical system used to compare and rank NCAA Division I men's ice hockey teams, closely mirroring the criteria used for at-large selection to the national tournament.
E. Hotelling’s T-squared distribution
Hotelling’s T-squared distribution is a multivariate generalization of Student’s t-distribution used primarily for hypothesis testing and constructing confidence regions for mean vectors in multivariate statistics.
F. None of above. chosen

Statements (49)

Predicate	Object
instanceOf	correlation coefficient ⓘ measure of statistical dependence ⓘ nonparametric statistic ⓘ rank correlation coefficient ⓘ
alsoKnownAs	Spearman rank correlation ⓘ linked to: Spearman rank-order correlation coefficient Spearman’s rho ⓘ linked to: Spearman rank-order correlation coefficient
appliesTo	ranked variables ⓘ two variables ⓘ
assumes	monotonic relationship ⓘ
basedOn	ranks of data ⓘ
calculatedFrom	differences between paired ranks ⓘ
category	descriptive statistics ⓘ inferential statistics ⓘ
comparedWith	Pearson product-moment correlation coefficient ⓘ linked to: Pearson correlation coefficient
dataType	continuous data converted to ranks ⓘ ordinal data ⓘ
doesNotAssume	linear relationship ⓘ normal distribution of variables ⓘ
domain	nonparametric statistics ⓘ statistics ⓘ
handles	ties in ranks with tie-correction procedures ⓘ
introducedBy	Charles Spearman ⓘ
introducedInYear	1904 ⓘ
isNonparametricVersionOf	Pearson correlation coefficient ⓘ
measures	direction of monotonic relationship ⓘ strength of monotonic relationship ⓘ
namedAfter	Charles Spearman ⓘ
rangeEndpoint	-1 indicates perfect negative monotonic association ⓘ 0 indicates no monotonic association ⓘ 1 indicates perfect positive monotonic association ⓘ
relatedConcept	Kendall rank correlation coefficient ⓘ monotonic function ⓘ ordinal correlation ⓘ
requires	paired observations ⓘ
robustTo	outliers in raw data ⓘ
symbol	rs ⓘ ρs ⓘ
usedFor	assessing monotonic association ⓘ correlation analysis with non-normal data ⓘ correlation analysis with ordinal data ⓘ measuring rank correlation ⓘ testing statistical independence ⓘ
usedIn	biostatistics ⓘ econometrics ⓘ machine learning feature analysis ⓘ psychometrics ⓘ social sciences ⓘ
usedWith	Spearman rank correlation test ⓘ linked to: Spearman rank-order correlation coefficient
valueRange	-1 to 1 ⓘ

How these facts were elicited