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| Phân tích đường dẫn× | Mô hình phương trình cấu trúc× | |
|---|---|---|
| Lĩnh vực≠ | Thống kê | Thống kê nghiên cứu |
| Họ≠ | Latent structure | Process / pipeline |
| Năm ra đời | 1921 | 1921 |
| Người khởi xướng | Sewall Wright | Sewall Wright |
| Loại≠ | Causal / mediation model | Method |
| Công trình gốc≠ | Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(7), 557–585. link ↗ | 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. link ↗ |
| Tên gọi khác | PA, path coefficient analysis, observed-variable SEM, causal path modeling | SEM, path analysis, latent variable modeling, causal modeling |
| Liên quan≠ | 5 | 3 |
| Tóm tắt≠ | Path analysis tests a researcher-specified causal diagram among observed variables by decomposing their intercorrelations into direct effects, indirect (mediated) effects, and spurious associations. Developed by Sewall Wright in 1921, it is the observed-variable special case of structural equation modeling and remains a standard tool for theory-driven multivariate causal inference. | 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. |
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