Linganisha mbinu

	Uthibitisho wa dhana katika Upimaji unaobadilika kwa kompyuta (CAT)	Computerized adaptive test item response theory
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	1989–2000s	1970s–1980s
Mwanzilishi	Samuel Messick (unified validity framework); CAT application formalized by Wainer, van der Linden, and colleagues	Lord, F. M.; further developed by Wainer, van der Linden, and others
Aina	Validity evaluation / psychometric evidence gathering	Adaptive measurement / sequential testing
Chanzo asilia	Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational Measurement (3rd ed., pp. 13–103). American Council on Education / Macmillan.	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113
Majina mbadala	CAT construct validity, adaptive test construct validation, CAT validity evidence, construct validity evidence in CAT	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing
Zinazohusiana	6	4
Muhtasari	Construct validity in computerized adaptive testing evaluates whether the latent trait estimates produced by a CAT instrument genuinely measure the intended psychological or educational construct. Because adaptive algorithms select items individually for each examinee, the validity evidence gathered must account for the variable item exposure and the IRT-based scoring that are unique to CAT administrations.	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.