Modeling Longitudinal and Multilevel Data – 9780805830545

Modeling Longitudinal and Multilevel Data Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Practical Issues, Applied Approaches, and Specific Examples Author(s): Todd D. Little, Kai U. Schnabel, J rgen Baumert Format: Hardback Publisher: Taylor & Francis Inc, United States Imprint: Psychology Press ISBN-13: 9780805830545, 978-0805830545 Synopsis This book focuses on the practical issues and approaches to handling longitudinal and multilevel data. All data sets and the corresponding command files are available via the Web. The working examples are available in the four major SEM packages–LISREL, EQS, MX, and AMOS–and two Multi-level packages–HLM and MLn. All equations and figural conventions are standardized across each contribution. The material is accessible to practicing researchers and students. Users can compare and contrast various analytic approaches to longitudinal and multiple-group data including SEM, Multi-level, LTA, and standard GLM techniques. Ideal for graduate students and practicing researchers in social and behavioral sciences.

Modeling Longitudinal and Multilevel Data: Practical Issues, Applied (R1)

“Modeling Longitudinal and Multilevel Data” by Kai U. Schnabel is a textbook published by Taylor & Francis Group in 2000. The book covers practical issues, applied approaches, and specific examples for modeling longitudinal and multilevel data in the fields of education and psychology. It includes 304 pages of valuable insights and guidance for researchers and students looking to analyze complex data sets using advanced techniques. The book is a valuable resource for those interested in computer-assisted research methods and statistical analysis in the social sciences.