Isbn: 9780470228395 - latent class and latent transition analysis: with applications in the social, behavioral, and health sciences (wiley series in probability and statistics) (8 Ergebnisse)

Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. pp. xxxiii + 285 Figures, Illus.

Gebunden. Zustand: New. Linda M. Collins, PhD, is Director of The Methodology Center and Professor of Human Development and Family Studies at The Pennsylvania State University. A Fellow of the American Psychological Association and the Association for Psychological Science, Dr. Co.

Hardcover. Zustand: Brand New. 1st edition. 285 pages. 9.25x6.25x1.00 inches. In Stock.

Zustand: New. Focuses on latent class analysis (LCA) and latent transition analysis (LTA) with a comprehensive treatment of longitudinal latent class models. This book includes examples that enable the reader to acquire a conceptual and technical understanding and to apply techniques to address empirical research questions. Series: Wiley Series in Probability and Statistics. Num Pages: 330 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 157 x 239 x 21. Weight in Grams: 600. . 2009. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - A modern, comprehensive treatment of latent class and latent transition analysis for categorical dataOn 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.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:\* A complete treatment of longitudinal latent class models\* Focused coverage of the conceptual underpinnings of interpretation and evaluationof a latent class solution\* Use of parameter restrictions and detection of identification problems\* Advanced topics such as multi-group analysis and the modeling and interpretation of interactions between covariatesThe authors present the topic in a style that is accessible yet rigorous. Each method is presented with both a theoretical background and the practical information that is useful for any data analyst. Empirical examples showcase the real-world applications of the discussed concepts and models, and each chapter concludes with a 'Points to Remember' section that contains a brief summary of key ideas. All of the analyses in the book are performed using Proc LCA and Proc LTA, the authors' own software packages that can be run within the SAS(r) environment. A related Web site houses information on these freely available programs and the book's data sets, encouraging readers to reproduce the analyses and also try their own variations.Latent Class and Latent Transition Analysis is an excellent book for courses on categorical data analysis and latent variable models at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners in the social, behavioral, and health sciences who conduct latent class and latent transition analysis in their everyday work.…