Principal Component Analysis vs. Exploratory Factor Analysis (PCA and EFA) @numiqo
Principal Component Analysis vs. Exploratory Factor Analysis (PCA and EFA) @numiqo
Uploaded February 2026 | Updated September 2026, 14 hours ago
PCA and EFA are often confused, but they serve different purposes. In this video, I explain the key differences between Principal Component Analysis (PCA) and Exploratory Factor Analysis (EFA), including how they handle variance, what they are used for, and when to choose one over the other. Perfect for students, researchers, and anyone working with data analysis or statistics.

► PCA Interactive
numiqo.com/lab/pca

► E-BOOK
numiqo.com/statistics-book

► Video PCA
youtu.be/_6UjscCJrYE

► Video EFA
youtu.be/Bh_BvCOG1NA
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Principal Component Analysis vs. Exploratory Factor Analysis (PCA and EFA)

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