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Multilevel Models - Applications using SAS (R) (Hardcover)
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Multilevel Models - Applications using SAS (R) (Hardcover)
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Interest in multilevel statistical models for social science and
public health studies has been aroused dramatically since the
mid-1980s. New multilevel modeling techniques are giving
researchers tools for analyzing data that have a hierarchical or
clustered structure. Multilevel models are now applied to a wide
range of studies in sociology, population studies, education
studies, psychology, economics, epidemiology, and public health.
This book covers a broad range of topics about multilevel modeling.
The goal of the authors is to help students and researchers who are
interested in analysis of multilevel data to understand the basic
concepts, theoretical frameworks and application methods of
multilevel modeling. The book is written in non-mathematical terms,
focusing on the methods and application of various multilevel
models, using the internationally widely used statistical software,
the Statistics Analysis System (SAS (R)). Examples are drawn from
analysis of real-world research data. The authors focus on twolevel
models in this book because it is most frequently encountered
situation in real research. These models can be readily expanded to
models with three or more levels when applicable. A wide range of
linear and non-linear multilevel models are introduced and
demonstrated.
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