Structural equation modeling (SEM) — Computational implementation and practical aspects

Introduction

What this guide covers

Introduction Chart from the original guide Linear Algebra · Multivariate Inference

Overview

Topics covered

• Introduction
• Structural Equation Models (SEM) : Fundamentals and Computing
• Fundamentals of Structural Equation Models (SEM)
• The CFA Measurement Model
• The Path Structural Model
• 1.1 The latent variable as an unobservable random variable

Related concepts

Main connections

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

Compatible notation

Mathematical sample in LaTeX

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