विधियों की तुलना करें

	कंप्यूटरीकृत अनुकूली परीक्षण (CAT) में विभेदक वैधता	Computerized Adaptive Test Convergent Validity
क्षेत्र	मनोमिति	मनोमिति
परिवार	Latent structure	Latent structure
उद्भव वर्ष	1959 (discriminant validity); CAT application from 1990s onward	1989–2000
प्रवर्तक	Campbell & Fiske (discriminant validity framework); applied to CAT by educational measurement researchers	Samuel Messick (validity framework); Wainer and colleagues (CAT context)
प्रकार	Validity evaluation technique	Validity evidence / construct validation
मौलिक स्रोत	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.	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113
उपनाम	CAT discriminant validity, adaptive test divergent validity, CAT scale differentiation, CAT construct separation	CAT convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT
संबंधित	5	5
सारांश	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.	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.