# Structural equation modeling

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Structural Equation Modeling

Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance and multiple linear regression models.

Figures x 2 from “The Causal Foundations of Structural Equation Modeling” by Judea Pearl (June 4, 2012): (1) ‘A simple structural equation model, and its associated diagrams; (2) ‘Structural models used for answering a counterfactual question about an individual, u = (ϵ₁, ϵ₂, ϵ₃)’

Research Design & Analysis Workshops - Quantitative and Qualitative Data Analysis + Structural Equation Modelling Software

Figures x 2 from “The Causal Foundations of Structural Equation Modeling” by Judea Pearl (June 4, 2012): (1) ‘A simple structural equation model, and its associated diagrams; (2) ‘Structural models used for answering a counterfactual question about an individual, u = (ϵ₁, ϵ₂, ϵ₃)’

4researchers | Structural Equation Modeling: Foundations and Applications to Developmental Research

Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generali...

Piecewise structural equation modeling in ecological research: piecewiseSEM package for R

Structural Equation Modeling (David A. Kenny)

Structural Equation Modeling (David A. Kenny)