Jeroen K. Vermunt, Jay Magidson
Abstract
Abstract Latent variable techniques are used as scaling tools when multiple responses related to the same construct are available. The differences between the four main types of latent variable models – factor analysis, latent trait analysis, latent profile analysis, and latent class analysis are described.
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Abstract Latent variable techniques are used as scaling tools when multiple responses related to the same construct are available. The differences between the four main types of latent variable models – factor analysis, latent trait analysis, latent profile analysis, and latent class analysis are described.
Key concepts: Latent class model, Latent variable, Latent variable model, Probabilistic latent semantic analysis, Local independence, Variable (mathematics), Statistics, Computer science