Error Variance Decomposition

Error Variance Decomposition is the systematic partitioning of total observed score variance into distinct variance components attributable to specific sources of measurement error within the framework of Generalizability Theory.

434

Publications

70.2K

Citations

848

Authors

460

Institutions

Publications per year

2017–2026

54

Authors

848

  1. HS
    Holger Schielzeth

    Friedrich Schiller University Jena, Germany

    4 publications · 2.2K citations

    4

    h-index

  2. SN
    Shinichi Nakagawa

    UNSW Sydney, Australia

    4 publications · 2.2K citations

    4

    h-index

  3. MA
    Martin A. Stoffel

    University of Edinburgh, United Kingdom

    4 publications · 2.2K citations

    4

    h-index

  4. BH
    Badi H. Baltagi

    Syracuse University, United States

    3 publications · 166 citations

    3

    h-index

  5. DH
    David H. Wolpert

    Ames Research Center, United States

    3 publications · 279 citations

    3

    h-index

1–5 of 848

Venues

  1. Journal of Econometrics

    10 publications · 771 citations

    10

    h-index

  2. Journal of Applied Psychology

    9 publications · 952 citations

    9

    h-index

  3. Biometrika

    9 publications · 435 citations

    9

    h-index

  4. Psychological Methods

    8 publications · 1.1K citations

    8

    h-index

  5. The American Statistician

    8 publications · 1K citations

    8

    h-index

1–5