+**Exploratory Factor Analysis** (EFA) is a [Statistical Model](/wiki/statistical_model) used to uncover the underlying, unobserved structure of a set of observed variables. It seeks to identify [Latent Variables](/wiki/latent_variable) that explain the correlations among many items, simplifying complex data patterns into fewer, meaningful dimensions.
+## See also
+- [Confirmatory Factor Analysis](/wiki/confirmatory_factor_analysis)
+- [Principal Component Analysis](/wiki/principal_component_analysis)
+- [Dimension Reduction](/wiki/dimension_reduction)