Article Version of Record

What correlations mean for individual people: A tutorial for researchers, students and the public

Author(s) / Creator(s)

Mõttus, René

Abstract / Description

Trisecting and cross-tabulating (TACT) two related variables shows what their correlation means for individual people. For example, knowing an individual's conscientiousness (lowest, medium or highest third among other people) improves the accuracy of predicting their health by 1.4, their child's conscientiousness by 4.2, and their job performance by 7.2 percentage points, compared to the random-guess accuracy of 33.3%. There’s a 35% probability that they will score differently in a few years and a 50% probability that their partner would rate their conscientiousness differently. For typical correlations in psychology, about 40% of individuals with a low or high value in one variable have a similar value in the other variable, while medium values carry almost no predictive information. Hence, correlations’ intuitive interpretations like "someone high in x is likely to be high in y" are almost always incorrect. An R package is provided for calculating and visualising TACT.

Keyword(s)

correlation prediction individual population information accuracy

Persistent Identifier

Date of first publication

2022-12-16

Journal title

Personality Science

Volume

3

Article number

Article e7467

Publisher

PsychOpen GOLD

Publication status

publishedVersion

Review status

peerReviewed

Is version of

Citation

Mõttus, R. (2022). What correlations mean for individual people: A tutorial for researchers, students and the public. Personality Science, 3, Article e7467. https://doi.org/10.5964/ps.7467
  • Author(s) / Creator(s)
    Mõttus, René
  • PsychArchives acquisition timestamp
    2023-01-23T14:06:51Z
  • Made available on
    2023-01-23T14:06:51Z
  • Date of first publication
    2022-12-16
  • Abstract / Description
    Trisecting and cross-tabulating (TACT) two related variables shows what their correlation means for individual people. For example, knowing an individual's conscientiousness (lowest, medium or highest third among other people) improves the accuracy of predicting their health by 1.4, their child's conscientiousness by 4.2, and their job performance by 7.2 percentage points, compared to the random-guess accuracy of 33.3%. There’s a 35% probability that they will score differently in a few years and a 50% probability that their partner would rate their conscientiousness differently. For typical correlations in psychology, about 40% of individuals with a low or high value in one variable have a similar value in the other variable, while medium values carry almost no predictive information. Hence, correlations’ intuitive interpretations like "someone high in x is likely to be high in y" are almost always incorrect. An R package is provided for calculating and visualising TACT.
    en_US
  • Publication status
    publishedVersion
  • Review status
    peerReviewed
  • Citation
    Mõttus, R. (2022). What correlations mean for individual people: A tutorial for researchers, students and the public. Personality Science, 3, Article e7467. https://doi.org/10.5964/ps.7467
    en_US
  • ISSN
    2700-0710
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/8004
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.12463
  • Language of content
    eng
  • Publisher
    PsychOpen GOLD
  • Is version of
    https://doi.org/10.5964/ps.7467
  • Is related to
    https://doi.org/10.23668/psycharchives.8275
  • Is related to
    https://doi.org/10.23668/psycharchives.8276
  • Is related to
    https://github.com/mottusrene/TACT
  • Keyword(s)
    correlation
    en_US
  • Keyword(s)
    prediction
    en_US
  • Keyword(s)
    individual
    en_US
  • Keyword(s)
    population
    en_US
  • Keyword(s)
    information
    en_US
  • Keyword(s)
    accuracy
    en_US
  • Dewey Decimal Classification number(s)
    150
  • Title
    What correlations mean for individual people: A tutorial for researchers, students and the public
    en_US
  • DRO type
    article
  • Article number
    Article e7467
  • Journal title
    Personality Science
  • Volume
    3
  • Visible tag(s)
    Version of Record
    en_US