Módszerek összehasonlítása

	Konvergens validitás számítógépes adaptív tesztekhez	Konvergens validitás
Tudományterület	Pszichometria	Pszichometria
Módszercsalád	Latent structure	Latent structure
Keletkezés éve	1989–2000	1959
Megalkotó	Samuel Messick (validity framework); Wainer and colleagues (CAT context)	Donald T. Campbell & Donald W. Fiske
Típus	Validity evidence / construct validation	Validity evidence / construct validation
Alapmű	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113	Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105.
Alternatív nevek	CAT convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT	convergent construct validity, convergence validity, AVE-based convergent validity
Kapcsolódó	5	4
Összefoglaló	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.	Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation.