Interpreting Correlation

Interpreting Correlation is a methodological framework within data interpretation that specifies the principles and procedures for discerning the strength, direction, and potential causal implications of statistical relationships between variables.

23

Publications

7.3K

Citations

50

Authors

40

Institutions

Publications per year

2017–2026

4

Authors

50

  1. MK
    Marcin Kozak

    Warsaw University of Life Sciences, Poland

    2 publications · 126 citations

    2

    h-index

  2. WB
    Walter Branch

    2 publications · 33 citations

    2

    h-index

  3. JA
    John Aldrich

    University of Southampton, United Kingdom

    1 publications · 406 citations

    1

    h-index

  4. CS
    Chase Stokes

    University of California, Berkeley, United States

    1 publications · 48 citations

    1

    h-index

  5. SG
    Shital G Kunte

    Savitribai Phule Pune University, India

    1 publications · 28 citations

    1

    h-index

1–5 of 50

Venues

  1. American Psychologist

    3 publications · 1.3K citations

    3

    h-index

  2. Teaching Statistics

    2 publications · 102 citations

    2

    h-index

  3. Clinical Kidney Journal

    CKJ · 1 publications · 244 citations

    1

    h-index

  4. Statistical Science

    1 publications · 406 citations

    1

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 1 publications · 29 citations

    1

    h-index

1–5