Latent class and latent transition analysis with applications in the social behavioral, and health sciences /
"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...
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Published: |
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Literature type: | Electronic eBook |
Language: | English |
Series: |
Wiley series in probability and statistics
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Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/9780470567333 |
Summary: |
"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 theoreti |
Carrier Form: | 1 online resource (xxxiii, 285 pages) : illustrations. |
Bibliography: | Includes bibliographical references and indexes. |
ISBN: |
9780470567326 (electronic bk.) 0470567325 (electronic bk.) 9780470567333 0470567333 |
Index Number: | QA278 |
CLC: | O212.4 |
Contents: | pt. I. Fundamentals -- 1. General Introduction -- 2. latent class model -- 3. relation between the latent variable and its indicators -- 4. Parameter estimation and model selection -- pt. II. Advanced LCA -- 5. Multiple-group LCA -- 6. LCA with Covariates -- pt. III. Latent Class Models for Longitudinal Data -- 7. RMLCA and LTA -- 8. Multiple-Group LTA and LTA with Covariates. |