Generalization Theory Applications

Generalization Theory Applications is a scholarly contribution that operationalizes generalizability theory to enhance the design, analysis, or interpretation of measurement procedures by specifying the conditions under which inferences can be reliably extended across facets of measurement.

29

Publications

4.3K

Citations

51

Authors

28

Institutions

Publications per year

2017–2026

6

Variants

G-theory Applications

Authors

51

  1. SP
    Saket Pande

    Delft University of Technology, Netherlands

    2 publications · 32 citations

    2

    h-index

  2. SM
    Shin‐ichi Maeda

    Nagoya University, Japan

    2 publications · 80 citations

    2

    h-index

  3. MK
    Masanori Koyama

    Kyoto University, Japan

    2 publications · 80 citations

    2

    h-index

  4. TM
    Takeru Miyato

    Kyoto University, Japan

    2 publications · 80 citations

    2

    h-index

  5. DH
    David H. Wolpert

    Ames Research Center, United States

    2 publications · 82 citations

    2

    h-index

1–5 of 51

Venues

  1. Neural Information Processing Systems

    Conference · 2 publications · 68 citations

    2

    h-index

  2. Human Communication Research

    1 publications · 59 citations

    1

    h-index

  3. Jisuanji yingyong yanjiu

    1 publications · 10 citations

    1

    h-index

  4. Neural Networks

    1 publications · 34 citations

    1

    h-index

  5. Journal of Biopharmaceutical Statistics

    JBS · 1 publications · 14 citations

    1

    h-index

1–5