Item-level Differential Analysis

Item-Level Differential Analysis is a statistical technique within logistic regression approaches that identifies and evaluates differences in item performance across distinct groups by examining the differential probability of endorsing an item while controlling for latent trait levels.

128

Publications

5.1K

Citations

422

Authors

243

Institutions

Publications per year

2017–2026

24

Authors

422

  1. PK
    Paul K. Crane

    University of Washington, United States

    3 publications · 108 citations

    3

    h-index

  2. RK
    Ronald K. Hambleton

    University of Massachusetts Amherst, United States

    3 publications · 160 citations

    3

    h-index

  3. LE
    Laura E. Gibbons

    University of Washington, United States

    3 publications · 100 citations

    3

    h-index

  4. MA
    Mirjam A. G. Sprangers

    University of Amsterdam, Netherlands

    2 publications · 111 citations

    2

    h-index

  5. RJ
    Rob J. de Haan

    Amsterdam UMC Location University of Amsterdam, Netherlands

    2 publications · 39 citations

    2

    h-index

1–5 of 422

Venues

  1. Quality of Life Research

    9 publications · 420 citations

    9

    h-index

  2. Journal of Educational Measurement

    6 publications · 235 citations

    6

    h-index

  3. Applied Measurement in Education

    4 publications · 184 citations

    4

    h-index

  4. Educational and Psychological Measurement

    4 publications · 166 citations

    4

    h-index

  5. Educational Assessment

    4 publications · 111 citations

    4

    h-index

1–5