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Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
Date: 21 April 2011, 11:45
On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields. In many cases, it can be useful to identify latent, or unobserved, subgroups in a population, where individuals' subgroup membership is inferred from their responses on a set of observed variables. Latent Class and Latent Transition Analysis provides a comprehensive and unified introduction to this topic through one-of-a-kind, step-by-step presentations and coverage of theoretical, technical, and practical issues in categorical latent variable modeling for both cross-sectional and longitudinal data.

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