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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Main Authors: | |
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Group Author: | ; |
Published: |
CRC Press/Taylor & Francis Group,
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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
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Subjects: | |
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. |