Multilevel Modeling Using R

✍ Scribed by W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley

• Publisher: CRC Press
• Year: 2014
• Tongue: English
• Leaves: 226
• Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
• Edition: 1
• Category: Library

✦ Synopsis

A powerful tool for analyzing nested designs in a variety of fields, multilevel/hierarchical modeling allows researchers to account for data collected at multiple levels. Multilevel Modeling Using R provides you with a helpful guide to conducting multilevel data modeling using the R software environment.

After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. The book concludes with Bayesian fitting of multilevel models. For those new to R, the appendix provides an introduction to this system that covers basic R knowledge necessary to run the models in the book.

Through the R code and detailed explanations provided, this book gives you the tools to launch your own investigations in multilevel modeling and gain insight into your research.

✦ Table of Contents

Content: The need for multilevel modeling --
Theoretical reasons for multilevel models --
Statistical reasons for multilevel models --
Scope of book --
Basic multilevel modeling --
The basic two-level multilevel model --
How to build and evaluate a multilevel model --
Extending the basic multilevel model --
Using generalized multilevel modeling --
Three-level models --
Longitudinal data as hierarchical : time nested within person.
Abstract:

A practical introduction to multi-level modelling, this title offers an introduction to HLM and illustrations of how to use this technique to build models for hierarchical and longitudinal data. Read more...

✦ Subjects

Библиотека;Компьютерная литература;R;