Item Bias

Item Bias is a measurement inequity in which a test item systematically functions differently for members of distinct groups, despite equivalent levels of the underlying ability, thereby introducing a nonrandom error that compromises the validity of score interpretation.

1K

Publications

71K

Citations

1.9K

Authors

729

Institutions

Publications per year

2017–2026

150

Authors

1.9K

  1. RK
    Ronald K. Hambleton

    University of Massachusetts Amherst, United States

    12 publications · 1.1K citations

    11

    h-index

  2. GC
    Gregory Camilli

    Rutgers, The State University of New Jersey, United States

    10 publications · 611 citations

    10

    h-index

  3. FD
    Fritz Drasgow

    University of Illinois Urbana-Champaign, United States

    10 publications · 904 citations

    10

    h-index

  4. LA
    Lorrie A. Shepard

    University of Colorado Boulder, United States

    8 publications · 559 citations

    8

    h-index

  5. BD
    Bruno D. Zumbo

    University of British Columbia, Canada

    8 publications · 492 citations

    8

    h-index

1–5 of 1.9K

Venues

  1. Journal of Educational Measurement

    68 publications · 5.6K citations

    35

    h-index

  2. Educational and Psychological Measurement

    86 publications · 4K citations

    34

    h-index

  3. Applied Psychological Measurement

    71 publications · 4.4K citations

    32

    h-index

  4. Applied Measurement in Education

    26 publications · 1.4K citations

    19

    h-index

  5. Psychometrika

    28 publications · 1.8K citations

    18

    h-index

1–5