Comparer des méthodes

	Validité convergente pour les tests adaptatifs informatisés	Validité convergente
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1989–2000	1959
Auteur d'origine	Samuel Messick (validity framework); Wainer and colleagues (CAT context)	Donald T. Campbell & Donald W. Fiske
Type	Validity evidence / construct validation	Validity evidence / construct validation
Source fondatrice	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.
Alias	CAT convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT	convergent construct validity, convergence validity, AVE-based convergent validity
Apparentées	5	4
Résumé	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.