An Introduction to Factor Analysis

This course provides a comprehensive introduction to factor analysis, a powerful statistical technique for data reduction and understanding underlying relationships. You'll receive valuable resources including an e-book and a set of supporting slides to enhance your learning.

Whether you're new to statistics or looking to deepen your understanding, this course is designed for anyone interested in factor analysis. No prior knowledge of specific statistical software is required, making it accessible to a wide audience.

We prioritize clarity, explaining the core theory in an intuitive manner while minimizing complex mathematics. The course begins with a foundational one-dimensional example, demystifying key concepts like reliability, loadings, and eigenvalues.

Next, we explore two-dimensional factor analysis, delving into the crucial process of rotation. You'll learn about various rotation techniques and understand their distinct differences.

The second half of the course takes a practical approach. Through a detailed, step-by-step case study, you'll see how factor analysis techniques are applied in real-world scenarios. You'll work through a large project, gaining insight into the types of questions that arise and the logical reasoning involved in each stage of the analysis. Master the fundamentals of factor analysis and unlock valuable insights from your data!