So sánh phương pháp

	Giá Trị Nomological Mạnh mẽ	Mô hình phương trình cấu trúc
Lĩnh vực	Trắc lượng tâm lý	Thống kê nghiên cứu
Họ	Latent structure	Process / pipeline
Năm ra đời	1955	1921
Người khởi xướng	Cronbach & Meehl (seminal framework); later extended by Shadish, Cook, and Campbell	Sewall Wright
Loại	Validity assessment / construct validation	Method
Công trình gốc	Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302.	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.
Tên gọi khác	nomological network validity, robust validity testing, nomological validity, RNV	SEM, path analysis, latent variable modeling, causal modeling
Liên quan	5	3
Tóm tắt	Robust nomological validity evaluates whether a psychological construct relates to theoretically expected variables in the predicted directions, using statistically robust estimation methods that remain trustworthy when distributional assumptions are violated. It tests the construct's place within its nomological network — the web of theoretical relationships that define its meaning.	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.