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Can I read Latent Class and Latent Transition Analysis : With Applications in the Social, Behavioral, and Health Sciences on EtoBox?

Latent Class and Latent Transition Analysis : With Applications in the Social, Behavioral, and Health Sciences by Linda M. Collins; Stephanie T. Lanza is a nonfiction available to read on EtoBox.

What is Latent Class and Latent Transition Analysis : With Applications in the Social, Behavioral, and Health Sciences about?

<p><b>A modern, comprehensive treatment of latent class and latent transition analysis for categorical data</b></p> <p>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. <i>Latent Class and Latent Transition Analysis</i> 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.</p> <p>The book begins with an introduction to latent class and latent transition analysis for categorical data. Subsequent chapters delve into more in-depth material, featuring:</p> <ul> <li>A complete treatment of longitudinal latent class models</li> <li>Focused coverage of the conceptual underpinnings of interpretation and evaluationof a latent c

Who reads Latent Class and Latent Transition Analysis : With Applications in the Social, Behavioral, and Health Sciences?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Linda M. Collins; Stephanie T. Lanza
Publisher
Wiley & Sons, Incorporated, John
Published
2009
Language
EN
ISBN
9781118210765
Category
nonfiction
Subjects
Mathematics, Stem

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