Adaptive Testing Models

Adaptive Testing Models is a class of psychometric frameworks within latent trait modeling that dynamically selects test items based on an examinee's estimated ability level, thereby optimizing measurement precision through item response theory-based sequential decision rules.

516

Publications

26.8K

Citations

971

Authors

464

Institutions

Publications per year

2017–2026

91

Authors

971

  1. WJ
    Wim J. van der Linden

    University of Twente, Netherlands

    27 publications · 1.8K citations

    21

    h-index

  2. DJ
    David J. Weiss

    University of Minnesota, United States

    17 publications · 1.3K citations

    16

    h-index

  3. ML
    Martha L. Stocking

    Educational Testing Service, United States

    16 publications · 839 citations

    14

    h-index

  4. BG
    Barbara G. Dodd

    The University of Texas at Austin, United States

    16 publications · 680 citations

    14

    h-index

  5. HC
    Hua-Hua Chang

    University of Illinois Urbana-Champaign, United States

    14 publications · 1.2K citations

    14

    h-index

1–5 of 971

Venues

  1. Applied Psychological Measurement

    99 publications · 6.5K citations

    42

    h-index

  2. Journal of Educational Measurement

    39 publications · 2.6K citations

    24

    h-index

  3. 18

    h-index

  4. Educational and Psychological Measurement

    25 publications · 748 citations

    17

    h-index

  5. ETS Research Report Series

    19 publications · 947 citations

    15

    h-index

1–5