In epidemiology, researchers often deal with complex datasets containing numerous variables. EFA is crucial because it simplifies these datasets by identifying underlying latent variables or factors that can explain the observed correlations among the measured variables. This simplification is valuable for developing hypotheses, guiding future research, and informing public health interventions.
