Anchor Item Selection

Anchor Item Selection is the process of identifying a subset of items in a measurement instrument that are free from differential item functioning and are used as a stable reference to calibrate item parameters across different groups in item response theory analyses.

73

Publications

7.4K

Citations

171

Authors

107

Institutions

Publications per year

2017–2026

13

Authors

171

  1. WW
    Wen‐Chung Wang

    Education University of Hong Kong, Hong Kong SAR China

    6 publications · 536 citations

    6

    h-index

  2. CS
    Ching‐Lin Shih

    National Sun Yat-sen University, Taiwan

    4 publications · 234 citations

    4

    h-index

  3. CW
    Chun Wang

    University of Minnesota, United States

    3 publications · 115 citations

    3

    h-index

  4. AP
    Allen Parducci

    University of California, Los Angeles, United States

    2 publications · 53 citations

    2

    h-index

  5. ME
    Michael E. Walker

    University of Colorado Boulder, United States

    2 publications · 52 citations

    2

    h-index

1–5 of 171

Venues

  1. Applied Psychological Measurement

    14 publications · 753 citations

    12

    h-index

  2. Journal of Educational Measurement

    6 publications · 212 citations

    6

    h-index

  3. Educational and Psychological Measurement

    5 publications · 240 citations

    5

    h-index

  4. Psychometrika

    4 publications · 135 citations

    4

    h-index

  5. Applied Measurement in Education

    3 publications · 57 citations

    3

    h-index

1–5