Facet-specific Variance Components

Facet-Specific Variance Components is a variance decomposition method in multifacet generalizability theory that quantifies the proportion of measurement error and systematic variability attributable to each specific facet—such as raters, occasions, or items—within a multi-faceted assessment design.

10

Publications

849

Citations

28

Authors

19

Institutions

Publications per year

2017–2026

3

Authors

28

  1. CJ
    Christopher J. Soto

    Colby College, United States

    2 publications · 163 citations

    2

    h-index

  2. AA
    Alois Angleitner

    Bielefeld University, Germany

    1 publications · 107 citations

    1

    h-index

  3. RD
    Ross David Stewart

    University of Tartu, Estonia

    1 publications · 106 citations

    1

    h-index

  4. SD
    Sahand Daneshvar

    Eastern Mediterranean University, Cyprus

    1 publications · 17 citations

    1

    h-index

  5. CK
    Christian Kandler

    Bielefeld University, Germany

    1 publications · 107 citations

    1

    h-index

1–5 of 28

Venues

  1. Language Testing

    2 publications · 391 citations

    2

    h-index

  2. Journal of Personality

    2 publications · 213 citations

    2

    h-index

  3. European Journal of Personality

    1 publications · 57 citations

    1

    h-index

  4. Journal of Educational Measurement

    1 publications · 40 citations

    1

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 1 publications · 24 citations

    1

    h-index

1–5