Сравнение методов

	Продольная дискриминантная валидность	Структурное моделирование (Structural Equation Modeling)
Область	Психометрия	Статистика исследований
Семейство	Latent structure	Process / pipeline
Год появления	1993–2000	1921
Автор метода	Formalized through SEM-based validity traditions (Campbell & Fiske, 1959; Cole & Maxwell, 1993)	Sewall Wright
Тип	Validity assessment / measurement quality	Method
Основополагающий источник	Cole, D. A. & Maxwell, S. E. (1993). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112(4), 558–577.	Jöreskog, K. G., & Sörbom, D. (1973). LISREL: A general computer program for estimating a linear structural equation system. Research Bulletin 73-5. University of Stockholm.
Другие названия	LDV, longitudinal construct distinctiveness, cross-time discriminant validity, temporal discriminant validity	SEM, path analysis, latent variable modeling, causal modeling
Связанные	4	3
Сводка	Longitudinal discriminant validity tests whether a psychological construct measured at two or more time points is empirically distinct across occasions — ensuring that the same construct does not collapse into a single undifferentiated mass over time. It is a prerequisite for meaningful change modeling in panel and longitudinal research.	Structural equation modeling (SEM) is a comprehensive statistical framework combining path analysis (Sewall Wright, 1921) and confirmatory factor analysis to test complex causal models linking observed and latent variables. Formalized by Jöreskog (1973) with LISREL software, SEM enables simultaneous estimation of measurement relationships (how variables measure latent constructs) and structural relationships (how constructs influence outcomes), making it powerful for theory testing in psychology, epidemiology, organizational research, and health sciences where complex mediation, moderation, and latent processes require integrated analysis.