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Applied Latent Class Analysis by Allan L. McCutcheon, Jacques A. Hagenaars

Applied Latent Class Analysis Allan L. McCutcheon, Jacques A. Hagenaars ebook
Format: pdf
ISBN: 0521594510, 9780521594516
Publisher: Cambridge University Press
Page: 478

To explore the heterogeneity of APED use patterns, the authors subjected data on use patterns to (a) latent class analysis (LCA), (b) latent trait analysis (LTA), and (c) factor mixture analysis to determine the best model of APED use. Instead of a standard regression model, consider building a latent class regression. Classifications of these subgroups were based on their psychosocial characteristics (e.g., substance use). To determine the underlying causes that were more likely to lead to PMV, we applied LCA to group separate co-morbidity diagnoses into no more than 10 clusters of in-patients who had undergone PMV. Latent class analysis (LCA) was used to identify distinct patterns of known risk factors for suicide among the decedents and to classify these decedents by these patterns. Richard Dembo⇓; Rhissa Baseline data collected in two brief intervention projects (BI-Court and Truancy Project) were used to assess similarities and differences in subgroups of at-risk youth. We compare two techniques that are widely used in the analysis of life course trajectories: latent class analysis and sequence analysis. Applications from the behavioral and social sciences The book is divided into techniques for analyzing cross-cultural data within the generalized-latent-variable approach: multiple-group confirmatory factor analysis and multiple-group structural equation modeling; multi-level analysis; latent class analysis; and item-response theory. Doi:10.1371/journal.pone.0056430. A Multigroup Exploratory Latent Class Analysis. A website features some of the data sets and syntax commands used in the book. Citation: Walter SD, Riddell CA, Rabachini T, Villa LL, Franco EL (2013) Accuracy of p53 Codon 72 Polymorphism Status Determined by Multiple Laboratory Methods: A Latent Class Model Analysis. [For more on the theory and methods of the GBCS see here.] Late in the summer of 2012, we showed the BBC Lab UK our notes from our latent class analysis. The methods we presented here to analyse the p53 data can be applied in many other situations where multiple tests exist, but where none of them is a gold standard. The particular modeling approach used to decide how many social classes there are in Britain is termed latent class analysis. Multigroup latent class analysis identified two BI-Court subgroups of youth and three truant subgroups.