Computer Adaptive Classification Testing
Computer Adaptive Classification Testing is a type of computerized adaptive testing that dynamically selects items to classify examinees into predefined categories based on their estimated proficiency, using item response theory to optimize measurement precision and decision accuracy.
9
Publications
201
Citations
26
Authors
14
Institutions
Publications per year
2017–2026
2
Variants
Cact
Parents
9
The automated multidimensional detective
Alfred Inselberg, Tova Avidan · 2003 · 35 citations
Computerized Adaptive Testing in Pediatric Brain Tumor Clinics
Jin‐Shei Lai, Jennifer L. Beaumont, Cindy J. Nowinski et al. · Journal of Pain and Symptom Management · 2017 · 14 citations · Full text
Medicine, Oncology, Pediatrics +14
1–5 of 9
26
1
h-index
University of Twente, Netherlands
1 publications · 12 citations
1
h-index
Korea Advanced Institute of Science and Technology, South Korea
1 publications · 10 citations
1
h-index
1
h-index
1
h-index
1–5 of 26
14
Cito (Netherlands)
Arnhem, Netherlands
1 h-index
2 publications
24 citations
Northwestern Medicine
Chicago, United States
1 h-index
2 publications
28 citations
University of Washington
Seattle, United States
1 h-index
1 publications
10 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
14 citations
Dana-Farber Cancer Institute
Boston, United States
1 h-index
1 publications
14 citations
Brown University
Providence, United States
1 h-index
3 publications
66 citations

Lurie Children's Hospital
Chicago, United States
1 h-index
3 publications
42 citations
Chungnam National University
Daejeon, South Korea
1 h-index
1 publications
10 citations
1–8 of 14
2 publications · 20 citations
2
h-index
1 publications · 12 citations
1
h-index
HSR · 1 publications · 22 citations
1
h-index
Repository · 1 publications · 12 citations
1
h-index
1 publications · 14 citations
1
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1–5