D-study Design

D-Study Design is a research plan in Generalizability Theory that specifies the conditions and facets of measurement to evaluate the dependability of scores under proposed changes in the measurement procedure.

22

Publications

579

Citations

58

Authors

30

Institutions

Publications per year

2017–2026

4

Authors

58

  1. WK
    Weng Kee Wong

    University of California, Los Angeles, United States

    2 publications · 26 citations

    2

    h-index

  2. MS
    Michael S. Ryan

    Virginia Commonwealth University, United States

    1 publications · 19 citations

    1

    h-index

  3. AS
    Arno Strouwen

    KU Leuven, Belgium

    1 publications · 13 citations

    1

    h-index

  4. RD
    R. D. Cook

    1 publications · 40 citations

    1

    h-index

  5. RH
    Raymond H. Myers

    Virginia Tech, United States

    1 publications · 39 citations

    1

    h-index

1–5 of 58

Venues

  1. Journal of Statistical Planning and Inference

    5 publications · 114 citations

    5

    h-index

  2. Psychological Assessment

    1 publications · 50 citations

    1

    h-index

  3. Applied Psychological Measurement

    1 publications · 27 citations

    1

    h-index

  4. Scientific Reports

    1 publications · 22 citations

    1

    h-index

  5. Statistics & Probability Letters

    1 publications · 16 citations

    1

    h-index

1–5