EFA vs PCA : How Performing PCA and CFA on the Same Data Equals ...
In other words, whereas EFA implies a reflective measurement model, PCA implies a formative measurement modelℹ🌱🌱. A reflective model assumes a 🐉 🌴.⛔️...
Choosing between Principal Component Analysis (PCA) and Exploratory Factor Analysis (EFA) depends on your research objectives and the nature of 🛷.🕋♐️♐️.🌷.🐄. In PCA, when we retain a component, we take into account both specific variance and common variance👧🐳.
While in EFA we only take into account 🚃.🏡🍫.🌼🐃.🎧. "in PCA the number of dimensions to extract/retain is fundamentally subjective, while in EFA the number is fixed, and you usually have to check .🥖🥖.📞.🧓. Principal components analysis and exploratory factor analysis have some similarities and differences in the way they reduce variables or ♒️.🙌🙌.⛅️⛅️..