Statistics in the social and behavioral sciences series
Includes bibliographical references and index.
Authors -- Linear models -- An introduction to multilevel data structure -- Fitting two-level models in R -- Three-level and higher models -- Longitudinal data analysis using multilevel models -- Graphing data in multilevel contexts -- Brief introduction to generalized linear models -- Multilevel generalized linear models (MGLMs) -- Bayesian multilevel modeling -- Advanced issues in multilevel modeling -- References -- Index.
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"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"--Publisher's description.
Taylor & Francis
9781351062268
Multilevel modeling using R.
9781138480711
Multivariate analysis.
R (Computer program language)
Social sciences-- Statistical methods.
MATHEMATICS-- Probability & Statistics-- General.
Multivariate analysis.
R (Computer program language)
Social sciences-- Statistical methods.
JMB
MAT-- 029000
005
.
5/5
23
HA31
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35
Finch, W. Holmes, (William Holmes)
Bolin, Jocelyn E.
Kelley, Ken, (Professor of information technology)