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.
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(Chapman & Hall_CRC Statistics in the Social & Behavioral) Douglas A Luke-Mu.pdf
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Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences (Book 16)
Paperback: 230 pages
Publisher: CRC Press; 1 edition (July 24, 2014)
Language: English
ISBN-10: 1466515856
ISBN-13: 978-1466515857
Product Dimensions: 9.3 x 6.1 x 0.6 inches
Shipping Weight: 0.3 ounces
http://www.amazon.com/Multilevel-Modeling-Statistics-Behavioral-Sciences/dp/1466515856/ref=sr_1_1?ie=UTF8&qid=1407166072&sr=8-1&keywords=Multilevel+Modeling+Using+R


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