Interpretation Of Variability

Interpretation of Variability is a methodological construct in data interpretation assessment that characterizes the systematic analysis of dispersion patterns in data to infer underlying sources of variation, distinguishing it from general descriptive statistics by focusing on the diagnostic and explanatory significance of variability within empirical observations.

72

Publications

3.4K

Citations

146

Authors

76

Institutions

Publications per year

2017–2026

6

Authors

146

  1. DB
    Dani Ben‐Zvi

    University of Haifa, Israel

    3 publications · 213 citations

    3

    h-index

  2. MV
    Marijn van Dijk

    University of Groningen, Netherlands

    3 publications · 442 citations

    3

    h-index

  3. JS
    Janet S. Dufek

    University of Nevada, Las Vegas, United States

    2 publications · 72 citations

    2

    h-index

  4. JG
    Joan Garfield

    University of Minnesota System, United States

    2 publications · 121 citations

    2

    h-index

  5. SZ
    Songning Zhang

    University of Tennessee at Knoxville, United States

    2 publications · 72 citations

    2

    h-index

1–5 of 146

Venues

  1. Statistics Education Research Journal

    6 publications · 300 citations

    6

    h-index

  2. PubMed

    Repository · 2 publications · 56 citations

    2

    h-index

  3. Journal of Community Hospital Internal Medicine Perspectives

    JCHIMP · 2 publications · 26 citations

    2

    h-index

  4. Journal of Experimental Psychology

    2 publications · 32 citations

    2

    h-index

  5. Medicine & Science in Sports & Exercise

    MSSE · 2 publications · 72 citations

    2

    h-index

1–5