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Оценка дискриминантной валидности в многогрупповых исследованиях×Конструктная валидность×
ОбластьПсихометрияПсихометрия
СемействоLatent structureLatent structure
Год появления1981 (foundational criterion); multi-group extension 1990s–2000s1955
Автор методаFornell & Larcker (for the AVE-based criterion); extended to multi-group settings by the SEM invariance literatureLee J. Cronbach & Paul E. Meehl
ТипValidity assessment / model comparisonValidity evaluation framework
Основополагающий источникFornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. DOI ↗Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗
Другие названияcross-group discriminant validity, multi-sample discriminant validity, MGDV, discriminant validity across groupsconstruct validation, factorial validity, nomological validity evidence, validity of interpretation
Связанные56
СводкаMulti-group discriminant validity assessment tests whether constructs measured by a scale are empirically distinct not just in one sample but consistently across two or more groups (e.g., cultures, genders, age cohorts). It extends standard discriminant validity criteria — such as the AVE rule and the HTMT ratio — into a multi-group confirmatory factor analysis framework to verify that conceptual distinctness is replicable across subpopulations.Construct validity is the degree to which a test or scale actually measures the theoretical construct it is intended to measure. Introduced by Cronbach and Meehl in 1955, it is the central validity concern in psychological and educational measurement, evaluated by accumulating multiple lines of empirical and logical evidence rather than by any single statistical test.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
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ScholarGateСравнение методов: Multi-group discriminant validity · Construct Validity. Получено 2026-06-15 из https://scholargate.app/ru/compare