Linear Mixed Models: A Practical Guide Using Statistical Software

The third edition of Linear Mixed Models: A Practical Guide Using Statistical Software is a bestseller that provides a comprehensive update of the available tools for fitting linear mixed-effects models in the newest versions of SAS, SPSS, R, Stata, and HLM. It includes a new chapter on power analysis for mixed-effects models and focuses on new tools for visualization of results and interpretation.

Format: Hardback
Length: 461 pages
Publication date: 24 June 2022
Publisher: Taylor & Francis Ltd

Linear Mixed Models: A Practical Guide Using Statistical Software, Third Edition, is a highly acclaimed and widely recommended book in the field of statistical analysis. It has been endorsed by esteemed statistical journals such as JASA, Technometrics, and others. The first two editions of this bestseller successfully demonstrated how to effortlessly conduct complex linear mixed model (LMM) analyses using various software programs.

In its third edition, Linear Mixed Models: A Practical Guide Using Statistical Software, Third Edition, continues to lead readers step-by-step through the process of fitting LMMs. This comprehensive update provides a thorough exploration of the available tools for fitting linear mixed-effects models in the latest versions of SAS, SPSS, R, Stata, and HLM.

Throughout the book, all examples have been meticulously revised and updated, with a particular emphasis on introducing new tools for visualizing results and interpreting them. Additionally, new conceptual and theoretical developments in mixed-effects modeling have been incorporated, enriching the content. A dedicated chapter is devoted to the fundamental theories underlying LMMs for clustered, longitudinal, and repeated measures data, offering a solid foundation for understanding the underlying principles of these models.

To facilitate the fitting of LMMs, the book offers detailed descriptions, explanations, and examples of software code required in SAS, SPSS, R, Stata, and HLM. Comprehensive tables of estimates and results are provided, allowing for easy comparisons across software procedures. Each chapter includes step-by-step analyses of real-world data sets derived from diverse research settings and study designs, encompassing hypothesis testing, interpretation of results, and model diagnostics.

To enhance the learning experience, software code is integrated into each chapter, allowing readers to compare the relative advantages and disadvantages of each package. Furthermore, a supplementary website accompanies the book, offering a wealth of software code, datasets, additional documents, and regular updates.

Linear Mixed Models: A Practical Guide Using Statistical Software, Third Edition, is an invaluable resource for anyone who utilizes software for statistical modeling. It eliminates the need to consult multiple software-specific texts by offering a comprehensive guide that covers the most popular software programs for fitting LMMs in a single convenient volume. Whether you are a novice or an experienced statistical analyst, this book will provide you with the knowledge and tools necessary to effectively employ linear mixed-effects models in your research endeavors.

Dimension: 254 x 178 (mm)
ISBN-13: 9781032019321
Edition number: 3 ed