方法对比

	计算机化自适应测验（CAT）中的区分效度	计算机化自适应测试（CAT）中的构念效度
领域	心理测量学	心理测量学
方法族	Latent structure	Latent structure
起源年份	1959 (discriminant validity); CAT application from 1990s onward	1989–2000s
提出者	Campbell & Fiske (discriminant validity framework); applied to CAT by educational measurement researchers	Samuel Messick (unified validity framework); CAT application formalized by Wainer, van der Linden, and colleagues
类型	Validity evaluation technique	Validity evaluation / psychometric evidence gathering
开创性文献	Weiss, D. J. (2004). Computerized adaptive testing for effective and efficient measurement in counseling and education. Measurement and Evaluation in Counseling and Development, 37(2), 70–84.	Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational Measurement (3rd ed., pp. 13–103). American Council on Education / Macmillan.
别名	CAT discriminant validity, adaptive test divergent validity, CAT scale differentiation, CAT construct separation	CAT construct validity, adaptive test construct validation, CAT validity evidence, construct validity evidence in CAT
相关	5	6
摘要	Discriminant validity in computerized adaptive testing (CAT) is the evaluation process confirming that a CAT-administered scale measures its intended construct distinctly from related but conceptually different constructs. Despite the adaptive item-selection mechanism varying each respondent's item set, evidence must be provided that CAT-derived scores do not overlap excessively with scores from theoretically distinct scales.	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.