Kendall rank correlation
- noun
- Specialized
- Researchers used the Kendall rank correlation to assess the agreement between the two judges’ rankings.
Examples
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She calculated the Kendall rank correlation to determine the relationship between employees’ performance and their seniority.
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The Kendall rank correlation is preferred when the data do not meet the assumptions of parametric tests.
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The Kendall rank correlation is widely used in statistics.
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Do you understand the Kendall rank correlation concept?
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The researchers used the Kendall rank correlation to analyze the relationship between the two sets of ranked survey responses.
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In her study, she calculated the Kendall rank correlation to evaluate how closely related the rankings were for both judges.
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Statisticians often prefer the Kendall rank correlation for assessing associations when dealing with ordinal data.
Synonyms
A number that shows how much two ranked lists agree
A number that shows how much two ordered lists agree
A number that shows how similar the order of items is in two lists
A number that shows how closely two sets of ranked scores move together
A number that shows how similar two ordered lists are
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'.