Item Sampling Variance

Item Sampling Variance is a statistical construct that quantifies the variability in measurement outcomes attributable to the specific selection of items or stimuli within a test or assessment instrument, distinguishing it from other sources of variance such as person-level differences or administration conditions.

10

Publications

289

Citations

17

Authors

8

Institutions

Publications per year

2017–2026

1

Authors

17

  1. EH
    Edward H. Haertel

    Stanford University, United States

    2 publications · 34 citations

    2

    h-index

  2. MP
    Michalis P. Michaelides

    University of Cyprus, Cyprus

    2 publications · 34 citations

    2

    h-index

  3. FM
    Frederic M. Lord

    Educational Testing Service, United States

    2 publications · 126 citations

    2

    h-index

  4. AP
    Andrew P. Jaciw

    University of North Carolina at Greensboro, United States

    1 publications · 14 citations

    1

    h-index

  5. US
    Ulrich Schroeders

    University of Kassel, Germany

    1 publications · 47 citations

    1

    h-index

1–5 of 17

Venues

  1. Educational and Psychological Measurement

    2 publications · 25 citations

    2

    h-index

  2. ETS Research Report Series

    1 publications · 26 citations

    1

    h-index

  3. Psychometrika

    1 publications · 100 citations

    1

    h-index

  4. Applied Psychological Measurement

    1 publications · 22 citations

    1

    h-index

  5. Annual Review of Psychology

    1 publications · 21 citations

    1

    h-index

1–5