Latent Variable Model

Latent Variable Models (LVMs) are used to explain relationships between observed variables by incorporating latent, or hidden, variables. These models are instrumental in capturing complex phenomena where direct measurement is challenging. For example, in factor analysis, latent variables represent underlying influences that affect multiple observed variables, allowing for more accurate modeling of data structures in fields like psychology and social sciences.