Computerized adaptive test item response theory
Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. · ISBN 978-0805835113
- van der Linden, W. J., & Glas, C. A. W. (Eds.). (2010). Elements of Adaptive Testing. Springer. · DOI 10.1007/978-0-387-85461-8
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.