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OverviewFull Product DetailsAuthor: Ding-Geng Chen , Yiu-Fai YungPublisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Weight: 0.453kg ISBN: 9781032431239ISBN 10: 1032431237 Pages: 408 Publication Date: 21 August 2023 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Linear Regression to Path Analysis 2. Latent Variables - Confirmatory Factor Analysis 3. Mediation Analysis 4. Structural Equation Modeling with Non-Normal Data 5. Structural Equation Modeling with Categorical Data 6. Multi-Group Data Analysis: Continuous Data 7. Multi-Group Data Analysis: Categorical Data 8. Pain-Related Disability for People with Temporomandibular Disorder: Full Structural Equation Modeling 9. Breast-Cancer Post-Surgery Assessment—Latent Growth-Curve Modeling 10. Full Longitudinal Mediation Modeling 11. Multi-Level Structural Equation Modeling 12. Sample Size Determination and Power AnalysisReviews"""In sum, this book is an essential read for practitioners and students who seek to use SEM in their research. It bridges the gap between theory and practice in a manner that is both comprehensive and understandable. The structured layout, practical examples with statistical code in R and SAS, and depth of coverage make this book a valuable asset in the field of SEM."" Lifeng Lin, University of Arizona, U.S.A, Journal of the American Statistical Association, Feburary 2024." Author InformationDing-Geng Chen, Ph.D. Professor and Executive Director in Biostatistics College of Health Solutions Arizona State University, USA. Yiu-Fai Yung, Ph.D. Senior Manager, Advanced Analytics R & D, SAS Institute Inc. Tab Content 6Author Website:Countries AvailableAll regions |
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