Exploratory Factor Analysis (EFA) is a statistical technique used to identify underlying relationships between measured variables, aiming to uncover the latent structure of a dataset. It is primarily used to reduce data dimensionality and to test theoretical constructs in the early stages of research when the researcher does not have a preconceived notion of the structure or number of factors.