Structural equation modeling: Introduction and fundamentals

Introduction

What this guide covers

Introduction // Advanced Multivariate Methods · Rigorous Theory

Overview

Topics covered

• Introduction
• Structural Equation Models
• Epistemology of Causality and Historical Origins
• The Paradigm of Latent Variables versus Observed Variables
• Attenuation due to Measurement Error in Classical Regression Models
• Anatomy of a Structural Equation Model (SEM)

Related concepts

Main connections

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

Compatible notation

Mathematical sample in LaTeX

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