Generalization Data

Generalization Data is a type of behavioral data collected to assess the extent to which a model, behavior, or intervention performs effectively across diverse contexts, populations, or tasks beyond the original conditions of training or development.

69

Publications

2.8K

Citations

160

Authors

84

Institutions

Publications per year

2017–2026

5

Authors

160

  1. IB
    Irving Biederman

    University of Southern California, United States

    2 publications · 83 citations

    2

    h-index

  2. JL
    Joseph L. Gagliardi

    University of Iowa, United States

    2 publications · 83 citations

    2

    h-index

  3. DR
    David R. Thomas

    University of Colorado System, United States

    2 publications · 35 citations

    2

    h-index

  4. DM
    David Mag­nusson

    Stockholm University, Sweden

    2 publications · 60 citations

    2

    h-index

  5. FL
    Frank L. Schmidt

    University of Iowa, United States

    2 publications · 124 citations

    2

    h-index

1–5 of 160

Venues

  1. Journal of the Experimental Analysis of Behavior

    12 publications · 320 citations

    11

    h-index

  2. PubMed

    Repository · 3 publications · 120 citations

    3

    h-index

  3. Science

    2 publications · 34 citations

    2

    h-index

  4. Journal of Positive Behavior Interventions

    JPBI · 2 publications · 70 citations

    2

    h-index

  5. Multivariate Behavioral Research

    MBR · 2 publications · 60 citations

    2

    h-index

1–5