Measurement modeling is a statistical and methodological framework used to formally specify and evaluate the relationship between observed variables (indicators) and unobserved theoretical constructs (latent variables). This approach investigates the degree to which empirical measurements accurately and reliably represent underlying concepts, employing various statistical models to assess measurement validity and reliability, thereby enabling rigorous scientific inquiry in fields reliant on indirect measurement.