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Оцінка багатогрупової дискримінантної валідності×Валідність конструкту×
ГалузьПсихометріяПсихометрія
РодинаLatent structureLatent structure
Рік появи1981 (foundational criterion); multi-group extension 1990s–2000s1955
Автор методуFornell & 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
Основоположне джерелоFornell, 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 ↗
Інші назвиcross-group discriminant validity, multi-sample discriminant validity, MGDV, discriminant validity across groupsconstruct validation, factorial validity, nomological validity evidence, validity of interpretation
Пов'язані56
ПідсумокMulti-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.
ScholarGateНабір даних
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  3. PUBLISHED
  1. v1
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ScholarGateПорівняння методів: Multi-group discriminant validity · Construct Validity. Отримано 2026-06-15 з https://scholargate.app/uk/compare