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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
Page: 478
Publisher: Cambridge University Press

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. This study applied latent class analysis (LCA) to identify subgroups of female juvenile offenders based on their self-report of offending profiles (N=133). Latent class analysis was used to cluster people according to their beliefs, attitudes, etc. A latent variable modeling approach, specifically latent class analysis (LCA), was used to generate profiles of youth based on their endorsements of the physical and sexual abuse items. Latent class analysis was used to classify children into four profiles of classroom engagement: free play, individual instruction, group instruction, and scaffolded learning. Latent class analysis can be applied to determine the sensitivity and specificity of a new test when no standard exists. Latent Class Analysis (LCA) was used to analyze patterns of witnessed community violence among the participants. Doi:10.1371/journal.pone.0056430. An alternative is to use the Expectation Maximization (EM) algorithm [26], which is also a maximum likelihood approach but ideally suited to problems comprising latent class variables, which is exactly what we have here as the true disease status of each observation is only latently While the DIC is very commonly used in Bayesian analyses, and is straightforward to estimate, it is not without its critics and its reliability in some situations is an active area of statistical research (e.g. 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. 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. [I like this tidbit: 2% of respondents said they'd never heard of global warming].