Invariant Item Selection

Invariant Item Selection is a methodological approach within psychometric and educational measurement that belongs to the class of anchor item selection techniques, distinguished by its requirement that selected items exhibit uniform statistical properties across different populations or testing conditions to ensure measurement invariance.

11

Publications

339

Citations

44

Authors

27

Institutions

Publications per year

2017–2026

3

Authors

44

  1. RW
    Roger Watson

    University of Hull, United Kingdom

    3 publications · 133 citations

    3

    h-index

  2. RR
    Rob R. Meijer

    University of Groningen, Netherlands

    2 publications · 119 citations

    2

    h-index

  3. JB
    Jenni Burt

    University of Cambridge, United Kingdom

    1 publications · 12 citations

    1

    h-index

  4. AS
    Alessandro Stievano

    University of Rome Tor Vergata, Italy

    1 publications · 22 citations

    1

    h-index

  5. FD
    Frank Doyle

    Royal College of Surgeons in Ireland, Ireland

    1 publications · 14 citations

    1

    h-index

1–5 of 44

Venues

  1. Journal of Interprofessional Care

    1 publications · 42 citations

    1

    h-index

  2. Journal of Clinical Nursing

    JCN · 1 publications · 109 citations

    1

    h-index

  3. Healthcare

    1 publications · 22 citations

    1

    h-index

  4. Journal of Mathematical Psychology

    1 publications · 29 citations

    1

    h-index

  5. Methodology

    1 publications · 17 citations

    1

    h-index

1–5