So sánh phương pháp

	Nghiên cứu kiểm định mô hình theo chiều dọc	Mô hình phương trình cấu trúc
Lĩnh vực	Thiết kế nghiên cứu	Thống kê nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1970s–1990s (SEM foundations by Joreskog 1970; longitudinal SEM elaborated through 1990s–2000s)	1921
Người khởi xướng	Synthesized from longitudinal panel design and SEM tradition (Joreskog, Bollen, Singer & Willett)	Sewall Wright
Loại	Quantitative, confirmatory, longitudinal design	Method
Công trình gốc	Singer, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press. ISBN: 978-0195152968	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	longitudinal confirmatory modeling, longitudinal SEM, panel model testing, longitudinal structural modeling	SEM, path analysis, latent variable modeling, causal modeling
Liên quan	6	3
Tóm tắt	Longitudinal model testing research combines repeated measurement across time with formal, a priori structural modeling to confirm or disconfirm hypothesized relationships among constructs. Rather than simply describing change, it tests whether a pre-specified theoretical model — typically a structural equation model or growth model — fits observed data collected at two or more time points. This design supports causal inference more convincingly than cross-sectional approaches by capturing temporal ordering of variables.	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.