Classical Item Statistics

Classical Item Statistics is a type of psychometric analysis within Classical Test Theory that quantifies the characteristics of individual test items, such as item difficulty, item discrimination, and item-total correlation, to evaluate their effectiveness in differentiating between examinees' abilities.

32

Publications

1.4K

Citations

63

Authors

38

Institutions

Publications per year

2017–2026

3

Authors

63

  1. RK
    Ronald K. Hambleton

    University of Massachusetts Amherst, United States

    2 publications · 139 citations

    2

    h-index

  2. IP
    Insu Paek

    Florida State University, United States

    1 publications · 12 citations

    1

    h-index

  3. JJ
    Joseph Jastak

    Wilmington University, United States

    1 publications · 16 citations

    1

    h-index

  4. AA
    Ado Abdu Bichi

    Maitama Sule University Kano, Nigeria

    1 publications · 10 citations

    1

    h-index

  5. HS
    Hariharan Swaminathan

    University of Massachusetts Amherst, United States

    1 publications · 82 citations

    1

    h-index

1–5 of 63

Venues

  1. Applied Psychological Measurement

    3 publications · 159 citations

    3

    h-index

  2. Educational and Psychological Measurement

    3 publications · 451 citations

    3

    h-index

  3. Journal of Educational Measurement

    2 publications · 45 citations

    2

    h-index

  4. The Journal of Membrane Biology

    1 publications · 10 citations

    1

    h-index

  5. Journal of Consulting Psychology

    1 publications · 16 citations

    1

    h-index

1–5