Structural Equation Modeling (SEM): Fit, Comparison, and Modification

Introduction

What this guide covers

Introduction Structural Equation Models

Overview

Topics covered

• Introduction
• Evaluation of Model Fit, Comparison and Modification
• Model structure and covariance matrix
• Discrepancy functions and estimators
• 2.1 Maximum Likelihood (ML)
• 2.2 Generalized Least Squares (GLS)

Related concepts

Main connections

• Maximum likelihood estimation
• Linear algebra & matrices
• Chi-squared tests & goodness of fit
• Residual analysis & diagnostics
• Variance & standard deviation
• Hypothesis testing

Compatible notation

Mathematical sample in LaTeX

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