Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Оцінка багатогрупової дискримінантної валідності× | Валідність конструкту× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 1981 (foundational criterion); multi-group extension 1990s–2000s | 1955 |
| Автор методу≠ | Fornell & Larcker (for the AVE-based criterion); extended to multi-group settings by the SEM invariance literature | Lee J. Cronbach & Paul E. Meehl |
| Тип≠ | Validity assessment / model comparison | Validity evaluation framework |
| Основоположне джерело≠ | Fornell, 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 назви | cross-group discriminant validity, multi-sample discriminant validity, MGDV, discriminant validity across groups | construct validation, factorial validity, nomological validity evidence, validity of interpretation |
| Пов'язані≠ | 5 | 6 |
| Підсумок≠ | Multi-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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