Comparar métodos

	Validade Discriminante Longitudinal	Modelagem de Equações Estruturais
Área	Psicometria	Estatística para pesquisa
Família	Latent structure	Process / pipeline
Ano de origem	1993–2000	1921
Autor original	Formalized through SEM-based validity traditions (Campbell & Fiske, 1959; Cole & Maxwell, 1993)	Sewall Wright
Tipo	Validity assessment / measurement quality	Method
Fonte seminal	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.
Outros nomes	LDV, longitudinal construct distinctiveness, cross-time discriminant validity, temporal discriminant validity	SEM, path analysis, latent variable modeling, causal modeling
Relacionados	4	3
Resumo	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.