Nonparametric Ability Estimation

Nonparametric Ability Estimation is a method of ability estimation that belongs to the class of item response modeling techniques and is distinguished by its avoidance of prespecified parametric functional forms for item characteristic curves, relying instead on flexible, data-driven approaches to model latent trait relationships.

26

Publications

1.3K

Citations

46

Authors

31

Institutions

Publications per year

2017–2026

2

Authors

46

  1. KS
    Klaas Sijtsma

    Tilburg University, Netherlands

    4 publications · 104 citations

    4

    h-index

  2. PS
    Peter Sprent

    University of Dundee, United Kingdom

    2 publications · 42 citations

    2

    h-index

  3. JO
    J. O. Ramsay

    McGill University, Canada

    2 publications · 109 citations

    2

    h-index

  4. RR
    Rob R. Meijer

    University of Groningen, Netherlands

    2 publications · 29 citations

    2

    h-index

  5. YC
    Yuan-Pei Chang

    National Taiwan Normal University, Taiwan

    1 publications · 30 citations

    1

    h-index

1–5 of 46

Venues

  1. Applied Psychological Measurement

    6 publications · 193 citations

    6

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  2. Psychometrika

    3 publications · 599 citations

    3

    h-index

  3. ETS Research Report Series

    2 publications · 40 citations

    2

    h-index

  4. Educational and Psychological Measurement

    2 publications · 26 citations

    2

    h-index

  5. 2

    h-index

1–5