Correlation Interpretation

Correlation Interpretation is a methodological framework within data interpretation assessment that specifies the principles and procedures for analyzing and explaining the strength, direction, and significance of relationships between variables in empirical data.

36

Publications

5.7K

Citations

79

Authors

48

Institutions

Publications per year

2017–2026

10

Authors

79

  1. RD
    Ronald D. Snee

    DuPont (United States), United States

    2 publications · 153 citations

    2

    h-index

  2. AL
    Adán L. Martínez-Cruz

    Centro de Investigación y Docencia Económicas, Mexico

    2 publications · 106 citations

    2

    h-index

  3. WH
    William H. Greene

    New York University, United States

    2 publications · 106 citations

    2

    h-index

  4. MF
    Massimo Filippini

    Università della Svizzera italiana, Switzerland

    2 publications · 106 citations

    2

    h-index

  5. NK
    Nilkanth Kumar

    ETH Zurich, Switzerland

    2 publications · 106 citations

    2

    h-index

1–5 of 79

Venues

  1. Teaching Statistics

    2 publications · 102 citations

    2

    h-index

  2. Journal of Quality Technology

    2 publications · 153 citations

    2

    h-index

  3. Quality & Quantity

    2 publications · 69 citations

    2

    h-index

  4. Perspectives in Clinical Research

    1 publications · 185 citations

    1

    h-index

  5. Biometrika

    1 publications · 30 citations

    1

    h-index

1–5