23 Sep 2024 —

The fundamental difference between the CFA and EFA is: in the CFA, researchers have prior assumption that indicators fit into a certain latent .... EFA is a method that allows you to explore the possible structure of your data without prior assumptions, while CFA is a method that will enable you to test .... When to use CFA: when the established scale items are taken from the existing studies for the survey, we apply CFA to test the reliability, validity, and model ....

We'll use the well-known Holzinger & Swineford (1939) dataset to get familiar with EFA and CFA in R. This data is included in the lavaan package..