Category Variance Analysis

Category Variance Analysis is a methodological framework within category performance analysis that identifies and quantifies the sources of variability in categorical outcomes by decomposing overall performance differences into constituent components attributable to specific factors or conditions.

12

Publications

1K

Citations

30

Authors

14

Institutions

Publications per year

2017–2026

2

Authors

30

  1. YG
    Yasser Gowayed

    Auburn University, United States

    2 publications · 39 citations

    2

    h-index

  2. YE
    Y.E. El Mogahzy

    Auburn University, United States

    2 publications · 39 citations

    2

    h-index

  3. OB
    Ohad Ben‐Shahar

    Ben-Gurion University of the Negev, Israel

    1 publications · 40 citations

    1

    h-index

  4. JR
    J. Richard Landis

    University of Pennsylvania, United States

    1 publications · 475 citations

    1

    h-index

  5. KW
    Kern Wh

    University of Florida, United States

    1 publications · 26 citations

    1

    h-index

1–5 of 30

Venues

  1. Textile Research Journal

    2 publications · 39 citations

    2

    h-index

  2. Sociological Methodology

    1 publications · 78 citations

    1

    h-index

  3. Journal of Experimental Psychology General

    1 publications · 104 citations

    1

    h-index

  4. 1

    h-index

  5. The Annals of Mathematical Statistics

    1 publications · 23 citations

    1

    h-index

1–5