Classes latents i mescles
8 mètodes en aquesta família.
Destacats
Anàlisi de Classes Latents (LCA)Latent class analysis identifies unobserved subgroups — latent classes — within a population by finding patterns of responses across a set of categorical observed indicators. It isAnàlisi de Perfils Latents (LPA)Latent Profile Analysis (LPA) is a person-centered finite mixture modeling technique that identifies unobserved subgroups — called profiles — within a population based on patterns Anàlisi de Transicions LatentsLatent Transition Analysis (LTA) is a method for studying transitions between latent classes over time, developed by Collins and Lanza (2010). LTA combines latent class analysis (gAnàlisi de Classes Latents (LCA)Latent class analysis is a probabilistic model-based clustering technique that identifies unobserved subgroups — latent classes — within a population on the basis of patterns of caModelatge de barregesMixture modeling assumes that a population is composed of K unobserved subpopulations, each described by its own probability distribution. The observed data are treated as draws frAnàlisi robusta de classes latentsRobust latent class analysis (robust LCA) extends the standard latent class model by incorporating outlier-resistant estimation techniques — such as trimmed likelihood, M-estimatio
Itinerari de lectura
Els mètodes fonamentals més referenciats d'aquest tema, en l'ordre en què es van desenvolupar — un punt de partida si tot just hi arribeu.