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Kendall rank correlation

Kendall rank correlation

8.5
A number that shows how well two rankings agree
  • noun
  • Specialized
translation icon : correlación de rangos de Kendall
  • Researchers used the Kendall rank correlation to assess the agreement between the two judges’ rankings.

Examples

  • She calculated the Kendall rank correlation to determine the relationship between employees’ performance and their seniority.

  • The Kendall rank correlation is preferred when the data do not meet the assumptions of parametric tests.

  • The Kendall rank correlation is widely used in statistics.

  • Do you understand the Kendall rank correlation concept?

  • The researchers used the Kendall rank correlation to analyze the relationship between the two sets of ranked survey responses.

  • In her study, she calculated the Kendall rank correlation to evaluate how closely related the rankings were for both judges.

  • Statisticians often prefer the Kendall rank correlation for assessing associations when dealing with ordinal data.

Synonyms

Kendall's tau
vsKendall rank correlation
  • Specialized
9.1

A number that shows how much two ranked lists agree

is an alternative name for that identical statistical measure
tau coefficient of correlation
vsKendall rank correlation
  • Specialized
9.8

A number that shows how much two ordered lists agree

is the named nonparametric statistic used for that ranked association
rank-order correlation coefficient
vsKendall rank correlation
  • Specialized
8.6

A number that shows how similar the order of items is in two lists

applies this idea as a specific coefficient for ranked association
rank-difference correlation coefficient
vsKendall rank correlation
  • Specialized
9.9

A number that shows how closely two sets of ranked scores move together

uses the same ranked comparison but as a coefficient form
rank-order correlation
vsKendall rank correlation
  • Specialized
8.8

A number that shows how similar two ordered lists are

is a broader term for ordering comparison rather than a single coefficient

Surface Forms

Morphology

Kendall + rank + correlation

The parts 'rank' and 'correlation' transparently suggest a relationship measuring association between ranked variables, so a learner could guess it refers to correlation of ranks. However, 'Kendall' is a proper name denoting a specific, technical nonparametric statistic (Kendall's tau) whose exact meaning and properties cannot be derived from the constituents, making the term only partially predictable to a B1 learner.

Etymology

Kendall rank correlation is named after the statistician Kendall and describes a way to compare two ordered lists. Imagine two judges who rank the same items; Kendall rank correlation looks at pairs that keep the same order versus pairs that swap places, so it measures 'how much the lists agree'.