Iterative Item Purification

Iterative Item Purification is a methodological procedure in psychometrics that systematically refines item sets by repeatedly detecting and removing items exhibiting differential item functioning to achieve a stable subset of unbiased items.

8

Publications

408

Citations

20

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

20

  1. DP
    Dong-Gun Park

    2 publications · 100 citations

    2

    h-index

  2. GJ
    Gary J. Lautenschlager

    University of Georgia, United States

    2 publications · 100 citations

    2

    h-index

  3. VL
    Vicki L. Flaherty

    University of Georgia, United States

    1 publications · 31 citations

    1

    h-index

  4. GX
    Gongjun Xu

    University of Michigan, United States

    1 publications · 22 citations

    1

    h-index

  5. BF
    Bruno Façon

    Université Lille Nord de France, France

    1 publications · 26 citations

    1

    h-index

1–5 of 20

Venues

  1. Educational and Psychological Measurement

    3 publications · 170 citations

    3

    h-index

  2. Applied Measurement in Education

    2 publications · 99 citations

    2

    h-index

  3. Assessment

    ASM · 1 publications · 48 citations

    1

    h-index

  4. Applied Psychological Measurement

    1 publications · 69 citations

    1

    h-index

  5. Psychometrika

    1 publications · 22 citations

    1

    h-index

1–5