G-study Design

G-Study Design is a research framework within Generalizability Theory that specifies the structure and sources of variation in a measurement context to enable the estimation of variance components for assessing the dependability of scores.

29

Publications

974

Citations

77

Authors

49

Institutions

Publications per year

2017–2026

5

Authors

77

  1. WK
    Weng Kee Wong

    University of California, Los Angeles, United States

    3 publications · 94 citations

    3

    h-index

  2. KA
    Knut A. Hagtvet

    University of Oslo, Norway

    2 publications · 23 citations

    2

    h-index

  3. AM
    Alison M. Bonnyman

    McMaster University, Canada

    1 publications · 21 citations

    1

    h-index

  4. HH
    HC Hill

    1 publications · 11 citations

    1

    h-index

  5. YW
    Yang Wu

    First Affiliated Hospital of Anhui Medical University, China

    1 publications · 15 citations

    1

    h-index

1–5 of 77

Venues

  1. Educational and Psychological Measurement

    4 publications · 166 citations

    4

    h-index

  2. Medical Education

    2 publications · 185 citations

    2

    h-index

  3. Journal of Computational and Graphical Statistics

    JCGS · 1 publications · 20 citations

    1

    h-index

  4. ISRN Rheumatology

    1 publications · 21 citations

    1

    h-index

  5. Teaching and Learning in Medicine

    1 publications · 15 citations

    1

    h-index

1–5