Generalized Scoring Models

Generalized Scoring Models is a formal framework in the domain of assessment and measurement that extends traditional scoring methodologies by enabling the systematic integration and evaluation of diverse, multi-dimensional performance indicators through adaptable scoring rules and weighting mechanisms.

25

Publications

1K

Citations

57

Authors

39

Institutions

Publications per year

2017–2026

2

Authors

57

  1. VC
    Vincent Conitzer

    Duke University, United States

    2 publications · 146 citations

    2

    h-index

  2. DD
    Dennis D. Boos

    North Carolina State University, United States

    2 publications · 314 citations

    2

    h-index

  3. LX
    Lirong Xia

    Rensselaer Polytechnic Institute, United States

    2 publications · 146 citations

    2

    h-index

  4. GA
    Gustaf Andersson

    Uppsala University, Sweden

    1 publications · 12 citations

    1

    h-index

  5. SY
    So Young Sohn

    Yonsei University, South Korea

    1 publications · 37 citations

    1

    h-index

1–5 of 57

Venues

  1. Journal of Clinical Psychology

    3 publications · 64 citations

    3

    h-index

  2. The American Statistician

    2 publications · 314 citations

    2

    h-index

  3. 1

    h-index

  4. Psychometrika

    1 publications · 14 citations

    1

    h-index

  5. The Lancet

    1 publications · 57 citations

    1

    h-index

1–5