Multivariate analysis: Factor analysis — comprehensive treatise

Introduction

What this guide covers

Introduction Introduction Multivariate Analysis · Latent Variable Models

Overview

Topics covered

• Introduction
• Factor Analysis and dimensional reduction
• 1. Philosophical foundations and the latent variable paradigm
• 2. The mathematical model of orthogonal factors
• Fundamental assumptions of the classical model
• 3. Decomposition of covariance and variance structure

Related concepts

Main connections

• Linear algebra & matrices
• Variance & standard deviation
• Maximum likelihood estimation
• Principal component analysis (PCA)
• Chi-squared tests & goodness of fit
• Hypothesis testing

Compatible notation

Mathematical sample in LaTeX

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