So sánh phương pháp

	Nghiên cứu kiểm định mô hình theo chiều dọc	Nghiên cứu bảng
Lĩnh vực	Thiết kế nghiên cứu	Thiết kế nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1970s–1990s (SEM foundations by Joreskog 1970; longitudinal SEM elaborated through 1990s–2000s)	1970s-1980s (econometric formalization); earlier social survey use from 1940s
Người khởi xướng	Synthesized from longitudinal panel design and SEM tradition (Joreskog, Bollen, Singer & Willett)	Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s
Loại	Quantitative, confirmatory, longitudinal design	Quantitative longitudinal observational design
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	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717
Tên gọi khác	longitudinal confirmatory modeling, longitudinal SEM, panel model testing, longitudinal structural modeling	panel study, panel survey, longitudinal panel, repeated-measures panel
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.	Panel research is a quantitative longitudinal design in which the same individuals, organizations, or other units are measured repeatedly across two or more time points. Unlike cross-sectional surveys that capture a single snapshot, a panel tracks change within units, enabling researchers to separate genuine within-unit change from between-unit differences and to model causal dynamics over time.