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Multilevel modeling using R /

"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 resultin...

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Bibliographic Details
Main Authors: Finch, W. Holmes William Holmes
Group Author: Bolin, Jocelyn E; Kelley, Ken
Published: CRC Press/Taylor & Francis Group,
Publisher Address: Boca Raton, FL :
Publication Dates: [2014]
Literature type: Book
Language: English
Series: Chapman & Hall/CRC statistics in the social and behavioral sciences series
Subjects:
Multilevel models Statistics
Multilevel models Statistics > Computer programs
Social sciences > Statistical methods
Multivariate analysis
R Computer program language
Summary: "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. "--
Carrier Form: xiii, 216 pages : illustrations ; 24 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9781466515857 (paperback) :
1466515856 (paperback)
Index Number: HA31
CLC: C32
O212.4
Call Number: O212.4/F492
Contents: 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.

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