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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
ISBN: 0521594510, 9780521594516
Page: 478
Publisher: Cambridge University Press
Format: pdf

Multigroup latent class analysis identified two BI-Court subgroups of youth and three truant subgroups. With simple algebraic sensitivity analysis (SA), one uses researcher-specified RS The authors applied LCA to a validation study of a new substance use disorder (SUD) screener and a larger prevalence study. Abstract: When data are believed to have hidden clusters, it is common practice to identify the clusters and then conduct analysis in each cluster separately. Cambridge, United Kingdom: Cambridge University Press. There is a growing gulf between the elite and the lower classes, and what used to be termed the middle and working classes seem to be splintering into social classes with systematically differing amounts of cultural and social capital. Finally, latent class analysis, a statistical method which has been proposed for the assessment of diagnostic tests in the absence of a gold standard, could be used in this context [21]. Friday, November 2, in Cleveland Hall 418. A Multigroup Exploratory Latent Class Analysis. This study introduces several recent innovations in latent class analysis to a wider audience of researchers. Please join us for the applied mathematics talk "Penalization Techniques for Latent Class Regression," presented by Anthony Franklin, a Ph.D. 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. What predicts relapse: Prospective testing of antecedent models. McCutcheon (Eds.), Applied latent class analysis (pp. Latent class analysis (LCA) was used to group all GOLDN individuals according to the diameter of their fasting (8-hour fast) VLDL, LDL and HDL particles, determined by nuclear resonance spectroscopy. Candidate at North Carolina State University, at 3:00 p.m. Latent class models for longitudinal data. The Great British Class Using latent class analysis on measures of economic, social and cultural capital, from our nationally representative sample, we defined a new model of class in Britain today. Latent class analysis (LCA) combines information from multiple imperfect measures of an unmeasurable latent condition to estimate sensitivity (Se) and specificity (Sp) of each measure. Latent Class Analysis (LCA) was used to analyze patterns of witnessed community violence among the participants. Classifications of these subgroups were based on their psychosocial characteristics (e.g., substance use). LINK: Download Applied Latent Class Analysis Book.