Generalization Measurement

Generalization Measurement is a methodological framework within behavioral measurement that systematically assesses the extent to which observed behaviors, responses, or performance outcomes extend across contexts, conditions, or populations beyond the specific settings in which they were initially trained or measured.

59

Publications

6.9K

Citations

147

Authors

78

Institutions

Publications per year

2017–2026

17

Authors

147

  1. DR
    David R. Thomas

    University of Colorado System, United States

    3 publications · 103 citations

    3

    h-index

  2. DM
    David Mag­nusson

    Stockholm University, Sweden

    3 publications · 85 citations

    3

    h-index

  3. TL
    Thomas L. Griffiths

    University of California, Berkeley, United States

    2 publications · 59 citations

    2

    h-index

  4. BN
    Behnam Neyshabur

    Toyota Technological Institute at Chicago, United States

    2 publications · 785 citations

    2

    h-index

  5. SL
    Sergey Levine

    University of California, Berkeley, United States

    2 publications · 59 citations

    2

    h-index

1–5 of 147

Venues

  1. Journal of Applied Behavior Analysis

    JABA · 6 publications · 3.6K citations

    6

    h-index

  2. Multivariate Behavioral Research

    MBR · 3 publications · 85 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 413 citations

    3

    h-index

  4. 2

    h-index

  5. PubMed

    Repository · 2 publications · 59 citations

    2

    h-index

1–5