Description
| Product ID: | 9781032202860 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | Multivariate Applications Series |
| Title: | Longitudinal Structural Equation Modeling |
| Subtitle: | A Comprehensive Introduction |
| Authors: | Author: Jason T. Newsom |
| Page Count: | 502 |
| Subjects: | Research methods: general, Research methods: general, Society and culture: general, Sociology, Psychological theory, systems, schools and viewpoints, Psychological methodology, Higher education, tertiary education, Epidemiology and Medical statistics, Society & culture: general, Sociology, Psychological theory & schools of thought, Psychological methodology, Higher & further education, tertiary education, Epidemiology & medical statistics |
| Description: | Select Guide Rating Longitudinal Structural Equation Modeling, Second Edition provides an in-depth, comprehensive overview of structural equation modeling (SEM) strategies for longitudinal data to help readers see which modeling options are available for which hypotheses. Longitudinal Structural Equation Modeling is a comprehensive resource that reviews structural equation modeling (SEM) strategies for longitudinal data to help readers determine which modeling options are available for which hypotheses. This accessibly written book explores a range of models, from basic to sophisticated, including the statistical and conceptual underpinnings that are the building blocks of the analyses. By exploring connections between models, it demonstrates how SEM is related to other longitudinal data techniques and shows when to choose one analysis over another. Newsom emphasizes concepts and practical guidance for applied research rather than focusing on mathematical proofs, and new terms are highlighted and defined in the glossary. Figures are included for every model along with detailed discussions of model specification and implementation issues and each chapter also includes examples of each model type, descriptions of model extensions, comment sections that provide practical guidance, and recommended readings. Expanded with new and updated material, this edition includes many recent developments, a new chapter on growth mixture modeling, and new examples. Ideal for graduate courses on longitudinal (data) analysis, advanced SEM, longitudinal SEM, and/or advanced data (quantitative) analysis taught in the behavioral, social, and health sciences, this new edition will continue to appeal to researchers in these fields. |
| Imprint Name: | Routledge |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2023-10-31 |
