This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary,
Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples
โ Scribed by Todd D. Little, Kai U. Schnabel, Jurgen Baumert
- Publisher
- Psychology Press
- Year
- 2000
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
โฆ 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.
๐ SIMILAR VOLUMES
<P>This is the first book to demonstrate how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Version 18. The authors tap the power of SPSSโs Mixed Models routine to provide an elegant and accessible approach to these models. Readers who have learned statistics using
<P>This is the first book to demonstrate how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Version 18. The authors tap the power of SPSSโs Mixed Models routine to provide an elegant and accessible approach to these models. Readers who have learned statistics using