Structural Equation Models: Covariance Algebra and Path Analysis

Introduction

What this guide covers

Introduction Advanced Technical Treatise and Reference Guide

Overview

Topics covered

• Introduction
• Introduction to Structural Equation Modeling (SEM)
• 1.1 Paradigmatic differences: SEM vs. OLS and Classic Multivariate Analysis
• Fundamentals of Covariance Algebra
• 2.1 The Expectation Operator and the formal definition of Covariance
• 2.2 Fundamental properties and linear combination theorems

Related concepts

Main connections

• Linear algebra & matrices
• Variance & standard deviation
• Maximum likelihood estimation
• Linear regression
• Chi-squared tests & goodness of fit
• Mathematical expectation & moments

Compatible notation

Mathematical sample in LaTeX

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