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EbookNice Team
Status:
Available4.7
21 reviewsISBN 10: 0415817102
ISBN 13: 9780415817103
Author: Ronald H Heck, Scott L Thomas, Lynn N Tabata
Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured.
The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses.
XChapter 1 Introduction to Multilevel Modeling With IBM SPSS
Chapter 2 Preparing and Examining the Data for Multilevel Analyses
Chapter 3 Defining a Basic Two-Level Multilevel Regression Model
Chapter 4 Extending the Two-Level Univariate Model
Chapter 5 Examining Individual Change With Repeated-Measures Data
Chapter 6 Applications of Mixed Models for Longitudinal Data
Chapter 7 Multivariate Multilevel Models
Chapter 8 Cross-Classified Multilevel Models
Chapter 9 Further Considerations in Modeling Hierarchical Data
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Tags: Ronald H Heck, Scott L Thomas, Lynn N Tabata, Longitudinal Modeling