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Glite Dictionary
rank-difference correlation

rank-difference correlation

9.6
To measure how two sets of scores are related by comparing their ranks
  • noun
  • /ræŋk ˈdɪfərəns ˌkɔːrəˈleɪʃən/
  • Specialized
translation icon : correlación de diferencia de rango
  • Researchers used a rank-difference correlation to analyze the association between students' test rankings in math and science.

Examples

  • The rank-difference correlation is useful when the data are ordinal rather than interval.

  • A strong rank-difference correlation was found between job performance and years of experience.

  • The rank-difference correlation is useful.

  • The rank-difference correlation showed a strong relationship between the two variables.

  • A strong rank-difference correlation was found between job performance and years of experience.

  • Researchers used a rank-difference correlation to analyze the association between students' test rankings in math and science.

  • The rank-difference correlation is useful when the data is ordinal rather than interval.

Synonyms

rank-order correlation
vsrank-difference correlation
  • Specialized
8.8

A number that shows how similar two ordered lists are

focuses on computing a coefficient between order positions without assuming linear scales

Surface Forms

rank-difference correlation singular
rank-difference correlations plural

Morphology

rank-difference + correlation

The term is compositionally built from 'rank' + 'difference' + 'correlation', so a learner who knows those words can infer it refers to a correlation measure that involves ranks or differences between ranks. However, it is a technical statistical compound whose precise meaning and calculation (e.g. how ranks or rank differences are used) require subject-matter knowledge, so it is not fully predictable for an average B1 learner.

Etymology

Rank-difference correlation comes from the image of two ordered lists: you compare each person's rank in one list with their rank in the other and look at the difference in positions. You then use those differences to judge how the lists relate. So, if many differences are small, the 'correlation' is strong and the phrase means 'how much two rankings match'.