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Residual Associations in Latent Class and Latent Transition Analysis
Structural Equation Modeling, 2015Tihomir Asparouhov, Bengt Muthen
exaly
Latent Class Analysis for Developmental Research [PDF]
Abstract In this article, we consider the broad applicability of latent class analysis (LCA) and related approaches to advance research on child development. First, we describe the role of person-centered methods such as LCA in developmental research, and review prior applications of LCA to the study of development and related areas ...
Stephanie T Lanza
exaly +3 more sources
Multimethod latent class analysis [PDF]
Correct and, hence, valid classifications of individuals are of high importance in the social sciences as these classifications are the basis for diagnoses and/or the assignment to a treatment. The via regia to inspect the validity of psychological ratings is the multitrait-multimethod (MTMM) approach. First, a latent variable model for the analysis of
Nussbeck, Fridtjof W., Eid, Michael
openaire +5 more sources
Latent class (LC) analysis is a widely used method for extracting meaningful groups (LCs) from data. The basic concept was introduced by Paul Lazarsfeld in 1950 for building typologies (or clusters) from dichotomous variables as part of his more general latent structure analysis.
Magidson, Jay +2 more
openaire +2 more sources
This article describes the general time-intensive longitudinal latent class modeling framework implemented in Mplus. For each individual a latent class variable is measured at each time point and the latent class changes across time follow a Markov process (i.e., a hidden or latent Markov model), with subject-specific transition probabilities that are ...
Asparouhov, T. +2 more
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Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source

