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LINEAR MIXED MODELS © 2007 by Taylor & Francis Group, LLC
© 2007 by Taylor & Francis Group, LLC
A Practical Guide Using Statistical Software
The development of software for fitting linear mixed models was propelled by advances
in statistical methodology and computing power in the late 20th century. These developments,
while providing applied researchers with new tools, have produced a sometimes
confusing array of software choices. At the same time, parallel development of the methodology
in different fields has resulted in different names for these models, including
mixed models, multilevel models, and hierarchical linear models. This book provides a
reference on the use of procedures for fitting linear mixed models available in five popular
statistical software packages (SAS, SPSS, Stata, R/S-plus, and HLM). The intended audience
includes applied statisticians and researchers who want a basic introduction to the
topic and an easy-to-navigate software reference.
This book is intended to be a reference for practicing statisticians and applied researchers, and could be used in an
advanced undergraduate or introductory graduate course on linear models.
Given the ongoing development and rapid improvements in software for fitting linear
mixed models, the specific syntax and available options will likely change as newer
versions of the software are released. The most up-to-date versions of selected portions
of the syntax associated with the examples in this book, in addition to many of the data
sets used in the examples, are available at the following Web site:
http://www.umich.edu/~bwest/almmussp.html
315415.pdf
(10.93 MB)
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