Clases latentes y mezclas
8 métodos en esta familia.
Destacados
Análisis de clases latentes (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 isAnálisis de Perfiles Latentes (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 Análisis de Transiciones LatentesLatent 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 (gAnálisis de Clases Latentes (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 caModelado de mezclasMixture 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 frAnálisis de Clases Latentes RobustoRobust latent class analysis (robust LCA) extends the standard latent class model by incorporating outlier-resistant estimation techniques — such as trimmed likelihood, M-estimatio
Ruta de lectura
Los métodos fundacionales más referenciados de este tema, en el orden en que se desarrollaron: un punto de partida si eres nuevo aquí.