Factor analysis is a multivariate statistical technique employed to identify underlying latent variables, or factors, that account for the correlations observed among a set of measured variables. Its primary purpose is dimensionality reduction and the exploration or confirmation of theoretical constructs by revealing the hidden structure within complex datasets.