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Phân tích trung gian đa cấp×Mô hình phương trình cấu trúc×
Lĩnh vựcThống kêThống kê nghiên cứu
HọHypothesis testProcess / pipeline
Năm ra đời20031921
Người khởi xướngKenny, Korchmaros & BolgerSewall Wright
LoạiMultilevel structural modelMethod
Công trình gốcKenny, D. A., Korchmaros, J. D., & Bolger, N. (2003). Lower level mediation in multilevel models. Psychological Methods, 8(2), 115–128. DOI ↗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 khácmultilevel mediation, hierarchical mediation, cross-level mediation, 1-1-1 mediationSEM, path analysis, latent variable modeling, causal modeling
Liên quan83
Tóm tắtMultilevel mediation analysis is a parametric structural method that estimates indirect (mediated) effects within hierarchically nested data, such as students within schools or employees within organisations. Formalised for lower-level mediation in multilevel models by Kenny, Korchmaros and Bolger (2003), it simultaneously handles individual-level (1-1-1) and group-level (2-2-1 or 2-1-1) mediation pathways in a single coherent framework.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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ScholarGateSo sánh phương pháp: Multilevel Mediation Analysis · Structural Equation Modeling. Truy cập ngày 2026-06-17 từ https://scholargate.app/vi/compare