Finch, W. Holmes <br/><br/>
Multilevel modeling using R / 
W. Holmes Finch, Ball State University, Muncie, Indiana, USA, Jocelyn E. Bolin, Ball State University, Muncie, Indiana, USA, Ken Kelley, University of Notre Dame, Notre Dame, Indiana, USA 
 - xiii, 216 pages ;  24 cm 
 - Chapman & Hall/CRC statistics in the social and behavioral sciences series .
 - Statistics in the social and behavioral sciences series .
<br/><br/>Includes bibliographical references and index 
<br/><br/>1. Linear models -- 2. Introduction to multilevel data structure -- 3. Fitting two-level models in R -- 4. Models of three and more levels -- 5. Longitudinal data analysis using multilevel models -- 6. Graphing data in multilevel contexts -- 7. Brief introduction to generalized linear models -- 8. Multilevel generalized linear models -- 9. Bayesian multilevel modeling 
<br/><br/> "This book presents the theory and practice of major multilevel modeling techniques in a variety of contexts using R as the software tool. It describes the applications and extensions of multilevel modeling with special emphasis on the use of R to conduct the analyses and interpret the resulting output. The book is designed for researchers, data analysts, and upper-level undergraduate and graduate students taking a course on multilevel modeling or statistical modeling. "-- 
<br/><br/><label>ISBN: </label>9781138469334 
<br/><br/><label>LCCN: </label>2014006663 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Social sciences--Statistical methods<br/>Multivariate analysis<br/>R (Computer program language)
<br/><br/><label>LC Class. No.: </label>HA31.35  / .F56 2014