Weighting Interpretation

Weighting Interpretation is a methodological framework in data analysis that systematically assigns relative importance to variables, observations, or components to clarify their influence on outcomes during the interpretation of results.

26

Publications

1.4K

Citations

61

Authors

32

Institutions

Publications per year

2017–2026

5

Authors

61

  1. GV
    Griet Vankeerberghen

    McGill University, Canada

    1 publications · 28 citations

    1

    h-index

  2. HP
    Hyojun Park

    Eunice Kennedy Shriver National Institute of Child Health and Human Development, United States

    1 publications · 77 citations

    1

    h-index

  3. ZS
    Zumin Shi

    The University of Adelaide, Australia

    1 publications · 11 citations

    1

    h-index

  4. JG
    Janet Grant

    The University of Adelaide, Australia

    1 publications · 11 citations

    1

    h-index

  5. ND
    Nicholas D. J. Strzalkowski

    University of Guelph, Canada

    1 publications · 12 citations

    1

    h-index

1–5 of 61

Venues

  1. Educational and Psychological Measurement

    2 publications · 30 citations

    2

    h-index

  2. 1

    h-index

  3. Journal of Management Accounting Research

    JMAR · 1 publications · 14 citations

    1

    h-index

  4. Neuroscience Letters

    1 publications · 12 citations

    1

    h-index

  5. 1

    h-index

1–5