Latent structureScale / measurement
Computerized Adaptive Testing based on Item Response Theory (CAT-IRT)
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.
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Sources
- 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 ↗
Related methods
Referenced by
CAT Generalizability TheoryCAT McDonald's OmegaCAT Scale DevelopmentCAT-DIFComputerized adaptive test construct validityComputerized Adaptive Test Content ValidityComputerized Adaptive Test Convergent ValidityComputerized adaptive test measurement invarianceComputerized adaptive test reliability analysisShort-Form IRT