Bandingkan kaedah

	Analisis Mediasi Bertingkat	Pemodelan Persamaan Struktur
Bidang	Statistik	Statistik Penyelidikan
Keluarga	Hypothesis test	Process / pipeline
Tahun asal	2003	1921
Pengasas	Kenny, Korchmaros & Bolger	Sewall Wright
Jenis	Multilevel structural model	Method
Sumber perintis	Kenny, D. A., Korchmaros, J. D., & Bolger, N. (2003). Lower level mediation in multilevel models. Psychological Methods, 8(2), 115–128.	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.
Alias	multilevel mediation, hierarchical mediation, cross-level mediation, 1-1-1 mediation	SEM, path analysis, latent variable modeling, causal modeling
Berkaitan	8	3
Ringkasan	Multilevel 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.