Structural equation models: Parameter identification and estimation

Introduction

What this guide covers

Introduction Covariance Algebra and Structural Inference

Overview

Topics covered

• Introduction
• Structural Equation Models: Identification and Estimation
• Covariance Structures and Matrix Representation
• The Fundamental Postulate of SEM
• The Concept of Mathematical Identification
• 3.1 Degrees of freedom and the order rule

Related concepts

Main connections

• Linear algebra & matrices
• Maximum likelihood estimation
• Variance & standard deviation
• Linear regression
• Chi-squared tests & goodness of fit
• Calculus & differentiation

Compatible notation

Mathematical sample in LaTeX

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