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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Vlefshmëria Konvergjente për Testet Adaptive të Kompjuterizuara×Vlefshmëria Konvergjente×
FushaPsikometriPsikometri
FamiljaLatent structureLatent structure
Viti i origjinës1989–20001959
KrijuesiSamuel Messick (validity framework); Wainer and colleagues (CAT context)Donald T. Campbell & Donald W. Fiske
LlojiValidity evidence / construct validationValidity evidence / construct validation
Burimi themeluesWainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗
Emërtime të tjeraCAT convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CATconvergent construct validity, convergence validity, AVE-based convergent validity
Të lidhura54
PërmbledhjaConvergent 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.
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  1. v1
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ScholarGateKrahasoni metodat: Computerized Adaptive Test Convergent Validity · Convergent Validity. Marrë më 2026-06-17 nga https://scholargate.app/sq/compare