Multilevel Modeling Using R 3rd Edition

Multilevel Modeling Using R, 3rd Edition by W. Holmes Finch and Jocelyn E. Bolin is an essential, practical guide for applied researchers, graduate students, and data analysts who want to master hierarchical and mixed-effects modeling with R. Clear, contemporary, and hands-on, this edition brings advanced multilevel techniques into reach without sacrificing statistical rigor.

Start with intuitive explanations of random- and fixed-effects models, then move seamlessly into model building, diagnostics, and interpretation using popular R packages. Real-world examples from education, psychology, public health, and business illustrate how multilevel modeling answers questions about clustered data, longitudinal studies, and nested designs. Step-by-step R code is provided throughout to help you implement models, visualize results, and communicate findings confidently.

Designed for readers across the US, UK, Europe, Australia, and beyond, this edition balances theory and practice—making it ideal for coursework, research projects, and professional analytics. Whether you are refining hypothesis tests, comparing growth trajectories, or controlling for institution- or group-level variance, this book demystifies complex concepts with clear guidance and reproducible examples.

If you need a modern, reliable reference to build and interpret multilevel models in R, this book delivers. Practical, authoritative, and accessible, Multilevel Modeling Using R, 3rd Edition is the resource that will elevate your analysis and strengthen your research reports. Order your copy today to start modeling hierarchical data with confidence.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.