Multilevel and Longitudinal Modeling with IBM SPSS

The third edition of "Multilevel and Longitudinal Modeling with IBM SPSS" demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. It includes annotated screenshots with relevant output, diagnostic tools, data management issues, and related graphics. The book covers conceptual and methodological issues, SPSS data management techniques, multilevel modeling, extensions of the basic two-level model, and troubleshooting techniques. It also discusses models for investigating individual and organizational change, multivariate outcomes, and cross-classified and multiple membership data structures. The book is thoroughly updated to reflect IBM SPSS Versions 26-27, includes an introduction to fixed-effects regression, and covers additional topics such as models with binary and ordinal outcomes, models with cross-classified and multiple membership data structures, model checking for improvement, and alternatives for dealing with missing data and sample weights. It is an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques, and is also appealing to researchers in these fields.

Format: Paperback / softback
Length: 484 pages
Publication date: 12 April 2022
Publisher: Taylor & Francis Ltd

Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, is a comprehensive guide that demonstrates the use of multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. The book is designed to provide readers with a step-by-step understanding of these techniques, with annotated screenshots and relevant output to facilitate their navigation through the program. Throughout the text, diagnostic tools, data management issues, and related graphics are introduced to enhance the reader's understanding of the subject matter.
SPSS commands are used to showcase the menu structure and facilitate model building, while annotated syntax is also provided for those who prefer this approach. Extensive examples are included throughout the book, illustrating the logic of model development and evaluation in the context of the research questions and the steps involved in conducting the analyses.
The book begins with an introduction to the conceptual and methodological issues associated with multilevel and longitudinal modeling. It then discusses SPSS data management techniques that are essential for working with multilevel, longitudinal, or cross-classified data sets. The subsequent chapters delve into the basics of multilevel modeling, covering topics such as developing a multilevel model, extending the basic two-level model to include three-level models, models for binary and ordinal outcomes, and troubleshooting techniques for common programming and modeling problems.
Models for investigating individual and organizational change are developed in subsequent chapters, followed by models with multivariate outcomes and 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 such as missing data and sample weights that may arise during the modeling process.
By utilizing the comprehensive coverage and practical examples provided in this book, readers will gain a deep understanding of multilevel and longitudinal modeling techniques and their applications in social science research. Whether they are beginners or experienced researchers, Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, is an invaluable resource for anyone seeking to enhance their analytical skills and advance their research endeavors.

Weight: 1180g
Dimension: 279 x 207 x 39 (mm)
ISBN-13: 9780367424619
Edition number: 3 ed