ISSR Methodology Workshop | Introduction to Exploratory Factor Analysis (EFA)
Instructor: Richard Liu
This workshop introduces participants to Exploratory Factor Analysis (EFA), a statistical technique used to uncover the underlying structure of a large number of variables. EFA is particularly useful when you do not have a predetermined theory about the structure of your data, and it helps identify potential factors that explain the correlations among observed variables. In this hands-on session, we will explore how to perform EFA using R, interpreting the output, and discussing best practices. While prior experience with R is helpful, it is not required; this workshop is designed to be accessible to those new to the software.
Learning Objectives
- Understand the principles and purposes of Exploratory Factor Analysis (EFA).
- Learn how to perform EFA in R
- Interpret results of an EFA, including factor loadings and communalities.
- Discuss the practical applications of EFA in research
- Gain hands-on experience by conducting an EFA on a sample dataset.