Linganisha mbinu

	Uchambuzi wa Kuegemeza kwa Upimaji unaoendeshwa na Kompyuta	Computerized adaptive test item response theory
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	1970s–1980s	1970s–1980s
Mwanzilishi	David J. Weiss and IRT psychometricians	Lord, F. M.; further developed by Wainer, van der Linden, and others
Aina	Reliability estimation under adaptive testing	Adaptive measurement / sequential testing
Chanzo asilia	Weiss, D. J. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21(4), 361–375.	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113
Majina mbadala	CAT reliability, adaptive test reliability, IRT-based reliability estimation, marginal reliability in CAT	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing
Zinazohusiana	4	4
Muhtasari	CAT reliability analysis quantifies measurement precision in computerized adaptive tests where each examinee receives a unique, individually tailored subset of items. Rather than a single classical coefficient, it uses item response theory to express precision as conditional standard error of measurement at each ability level, and marginal reliability as a global summary across the ability distribution.	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.