Applied Latent Class Analysis Allan L. McCutcheon, Jacques A. Hagenaars
Publisher: Cambridge University Press

Cambridge, England: Cambridge University Press. 4.5 In all three studies, securing samples of young people (and employers) was problematic. Latent class analysis was used to identify sub-groups within the group of young people who were in JWT. Next, the researchers applied latent class growth analysis to estimate the smoking trajectory for each individual. [I like this tidbit: 2% of respondents said they'd never heard of global warming]. Terms used are Latent Class Analysis (LCA) and Mixture Modeling (MM) (sometimes Finite MM). 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. Mccutcheon (Eds.), Applied latent class analysis (pp. A website features some of the data sets and syntax commands used in the book. Latent class analysis was used to cluster people according to their beliefs, attitudes, etc. 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. Mathematical analysis can help fill in the gaps.