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

Cambridge, United Kingdom: Cambridge University Press. Latent class analysis was used to cluster people according to their beliefs, attitudes, etc. [I like this tidbit: 2% of respondents said they'd never heard of global warming]. This study introduces several recent innovations in latent class analysis to a wider audience of researchers. 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. Latent class models for longitudinal data. The analysis of residuals in cross-classified tables. Latent class analysis was used to identify sub-groups within the group of young people who were in JWT. METHODS: Latent class analysis (a statistical technique to identify clustering of variance from a set of categorical variables) was applied to 174 cases using clinical diagnostic information to identify the most parsimonious model of best fit. 4.5 In all three studies, securing samples of young people (and employers) was problematic. Applying latent class analysis to this data, six classes were identified as clinically interpretable and relevant subgroups of prescription opioid abusers. McCutcheon (Eds.), Applied latent class analysis (pp. LINK: Download Applied Latent Class Analysis Book.