Applications in STATA®, IBM® SPSS®, SAS®, R, & HLM™
- G. David Garson - North Carolina State University, USA
Quantitative Research Methods in Education | Statistics - General Interest | Statistics in Criminal Justice | Statistics in Political Science | Statistics in Political Science | Statistics in Psychology | Statistics in Sociology | Structural Equation Modeling, Hierarchical Linear Modeling, & Multilevel Modeling |
Multilevel Modeling: Applications in STATA®, IBM® SPSS®, SAS®, R & HLM™ provides a gentle, hands-on illustration of the most common types of multilevel modeling software, offering instructors multiple software resources for their students and an applications-based foundation for teaching multilevel modeling in the social sciences. Author G. David Garson’s step-by-step instructions for software walk readers through each package. The instructions for the different platforms allow students to get a running start using the package with which they are most familiar while the instructor can start teaching the concepts of multilevel modeling right away. Instructors will find this text serves as both a comprehensive resource for their students and a foundation for their teaching alike.
Open-access resources include the following:
- Downloadable data for all exercises
- Downloadable figures and tables from the book
- “Getting Started with R and RStudio” quick guide
- FAQs on multilevel modeling
“The practical and hands-on approach in addition to using several software make this book appealing to a wide range of readers.”
“This is a solid treatment of MLMs which illustrates implementation across all major MLM software.”
“This text effectively balances depth, complexity, and readability of a number of challenging topics related to multilevel modeling. The wealth of examples in many different software environments are fantastic.”
A fantastic resource that reflects a modern approach to modeling. Provides an introduction that touches on the many nuances of mixed models without overwhelming the reader with technical details and theory. Some content on model notation and specification (non-software) would be a good addition.
Sample Materials & Chapters
Chapter 1: Introduction to Multilevel Modeling