Linganisha mbinu

	Uthibitisho wa dhana katika Upimaji unaobadilika kwa kompyuta (CAT)	Uhalali Unganishi kwa Vipimo vya Kubadilika vya Kompyuta
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	1989–2000s	1989–2000
Mwanzilishi	Samuel Messick (unified validity framework); CAT application formalized by Wainer, van der Linden, and colleagues	Samuel Messick (validity framework); Wainer and colleagues (CAT context)
Aina	Validity evaluation / psychometric evidence gathering	Validity evidence / construct validation
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 convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT
Zinazohusiana	6	5
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.	Convergent validity assessment for computerized adaptive tests (CATs) examines whether the ability or trait estimates produced by an adaptive algorithm correlate substantially with scores from other measures of the same construct. Because each examinee receives a different subset of items in a CAT, demonstrating that the resulting scores still converge with theoretically related external measures is a critical step in establishing construct validity evidence.