Сравнение методов

	Многоуровневая дискриминантная валидность	Многоуровневая конвергентная валидность
Область	Психометрия	Психометрия
Семейство	Latent structure	Latent structure
Год появления	2005	2005
Автор метода	Dyer, Hanges, & Hall; Chen, Sousa, & West	Dyer, Hanges & Hall; Chen, Bliese & Mathieu
Тип	Validity evaluation within multilevel CFA	Measurement validity evaluation
Основополагающий источник	Dyer, N. G., Hanges, P. J., & Hall, R. J. (2005). Applying multilevel confirmatory factor analysis techniques to the study of leadership. Leadership Quarterly, 16(1), 149–167.	Dyer, N. G., Hanges, P. J. & Hall, R. J. (2005). Applying multilevel confirmatory factor analysis techniques to the study of leadership. Leadership Quarterly, 16(1), 149–167.
Другие названия	multilevel DV, cross-level discriminant validity, hierarchical discriminant validity, ML-DV	cross-level convergent validity, multilevel measurement validity, between-level convergent validity
Связанные	5	4
Сводка	Multilevel discriminant validity evaluates whether theoretically distinct constructs are empirically separable when data are nested within higher-level units such as teams, schools, or organizations. It extends single-level discriminant validity checks into a multilevel confirmatory factor analysis framework, verifying that constructs are distinguishable both within and between levels simultaneously.	Multilevel convergent validity evaluates whether items or scales intended to measure the same construct show coherent, strong associations at each level of a nested data structure — within individuals, within groups, and between groups. It extends classical convergent validity from single-level measurement models into the multilevel confirmatory factor analysis (ML-CFA) framework.