Test Bias Analysis

Test Bias Analysis is a methodological procedure within psychometric theory that identifies differential item functioning by examining whether test items exhibit systematic performance differences across demographic groups after controlling for underlying ability, typically using the Mantel-Haenszel statistic to detect potential bias in educational and psychological assessments.

331

Publications

16.3K

Citations

648

Authors

318

Institutions

Publications per year

2017–2026

28

Variants

Dif AnalysisDifferential Item Functioning Analysis

Authors

648

  1. CR
    Cecil R. Reynolds

    Texas A&M University, United States

    7 publications · 230 citations

    7

    h-index

  2. RL
    Robert L. Linn

    University of Illinois Urbana-Champaign, United States

    6 publications · 498 citations

    6

    h-index

  3. JE
    John E. Hunter

    Michigan State University, United States

    5 publications · 274 citations

    5

    h-index

  4. WS
    William Stout

    University of Illinois Urbana-Champaign, United States

    5 publications · 1.1K citations

    5

    h-index

  5. RK
    Ronald K. Hambleton

    University of Massachusetts Amherst, United States

    4 publications · 174 citations

    4

    h-index

1–5 of 648

Venues

  1. Journal of Educational Measurement

    21 publications · 1.3K citations

    18

    h-index

  2. Applied Psychological Measurement

    15 publications · 660 citations

    13

    h-index

  3. Educational and Psychological Measurement

    21 publications · 491 citations

    13

    h-index

  4. ETS Research Report Series

    11 publications · 560 citations

    11

    h-index

  5. Applied Measurement in Education

    10 publications · 519 citations

    10

    h-index

1–5