Scoring Bias Analysis

Scoring Bias Analysis is a systematic methodological framework within automated essay scoring research that identifies and quantifies systematic inaccuracies or inequities in score predictions attributable to irrelevant variables such as demographic characteristics, linguistic style, or topic familiarity, thereby distinguishing it from general validation or performance evaluation approaches by its focused examination of fairness and differential outcomes.

34

Publications

1.4K

Citations

74

Authors

26

Institutions

Publications per year

2017–2026

17

Authors

74

  1. RF
    Roy Freedle

    Educational Testing Service, United States

    1 publications · 164 citations

    1

    h-index

  2. AV
    Adriano Veloso

    Universidade Federal de Minas Gerais, Brazil

    1 publications · 79 citations

    1

    h-index

  3. KZ
    Karin Zeller

    Educational Testing Service, United States

    1 publications · 12 citations

    1

    h-index

  4. BB
    Beverly Baker

    McGill University, Canada

    1 publications · 38 citations

    1

    h-index

  5. DA
    David A. Nelson

    University of Minnesota, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 74

Venues

  1. Educational and Psychological Measurement

    2 publications · 44 citations

    2

    h-index

  2. Language Assessment Quarterly

    1 publications · 38 citations

    1

    h-index

  3. Educational Data Mining

    Conference · 1 publications · 18 citations

    1

    h-index

  4. Basic and Applied Social Psychology

    1 publications · 49 citations

    1

    h-index

  5. Australian Journal of Education

    AJE · 1 publications · 20 citations

    1

    h-index

1–5