Multilevel and Longitudinal Modeling Using Stata, Volumes I and II

The fourth edition of "Multilevel and Longitudinal Modeling Using Stata" is a comprehensive resource for learning to model data with grouped observations, covering random-effects, fixed-effects, mixed-effects, marginal, dynamic, and growth-curve models. It is ideal for researchers and courses in multilevel modeling, with examples from various disciplines and end-of-chapter exercises.

Format: Paperback / softback
Length: 1098 pages
Publication date: 22 October 2021
Publisher: Stata Press

Multilevel and Longitudinal Modeling Using Stata, Fourth Edition is a comprehensive resource for mastering the art of modeling data that involves grouping observations, whether these groups are formed by a nesting structure, such as children nested in classrooms, or by repeated observations on the same individuals. This text delves into various modeling approaches, including random-effects models, fixed-effects models, mixed-effects models, marginal models, dynamic models, and growth-curve models, all of which account for the inherent group nature of such data. As Rabe-Hesketh and Skrondal introduce each model, they provide insights into when the model is most applicable, its underlying assumptions, the steps involved in fitting and evaluating the model using Stata, and the interpretation of the resulting findings. With its extensive coverage, this book serves as an invaluable companion for researchers seeking to employ multilevel models, particularly those working in diverse disciplines. Moreover, it is an ideal text for courses in multilevel modeling, as it offers examples from a wide range of fields and includes end-of-chapter exercises that facilitate students' practical application of the newly learned material.

The book is organized into two volumes. Volume I primarily focuses on linear models for continuous outcomes, while Volume II delves into generalized linear models for binary, ordinal, count, and other types of outcomes. Each volume is divided into chapters, each presenting a distinct modeling approach and discussing its applications in various research contexts. The authors employ a clear and concise writing style, making the text accessible to both novice and experienced researchers in the field of multilevel modeling. They provide numerous examples and illustrations to support their explanations, helping readers to grasp the concepts and apply them to their own research endeavors.

In conclusion, Multilevel and Longitudinal Modeling Using Stata, Fourth Edition is a must-have resource for anyone interested in learning and applying multilevel modeling techniques. With its comprehensive coverage, practical examples, and insightful explanations, this book equips researchers with the tools they need to analyze and interpret data that involves grouping structures or repeated observations. Whether you are a student, researcher, or professional seeking to advance your understanding of multilevel modeling, this text is an invaluable asset that will greatly contribute to your success.

Weight: 2418g
Dimension: 190 x 244 x 72 (mm)
ISBN-13: 9781597181365
Edition number: 4 New edition