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
Parents
516
1–5 of 516
971
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Educational Testing Service
Princeton, United States
31 h-index
86 publications
6.3K citations

University of Twente
Enschede, The Netherlands
26 h-index
52 publications
3.2K citations
University of Illinois Urbana-Champaign
Urbana, United States
21 h-index
39 publications
2.5K citations
The University of Texas at Austin
Austin, United States
15 h-index
30 publications
1.2K citations

University of Minnesota
Minneapolis, United States
14 h-index
32 publications
4.1K citations
University of Minnesota System
Minneapolis, United States
12 h-index
15 publications
1.5K citations
University of Maryland, College Park
College Park, United States
12 h-index
18 publications
527 citations

Universidad Autónoma de Madrid
Madrid, Spain
10 h-index
22 publications
897 citations
1–8 of 464
99 publications · 6.5K citations
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39 publications · 2.6K citations
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21 publications · 1K citations
18
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25 publications · 748 citations
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19 publications · 947 citations
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