<b><i><font face="Palatino-BoldItalic" size="5"><font face="Palatino-BoldItalic" size="5"><font face="Serpentine-Medium" color="#1f1f1f" size="7"><font face="Serpentine-Medium" color="#1f1f1f" size="7"><font face="Serpentine-Medium" color="#1f1f1f" size="4"><p align="left">LINEAR MIXED MODELS <font face="WarnockPro-Regular" size="1"><font face="WarnockPro-Regular" size="1"><p>&copy; 2007 by Taylor &amp; Francis Group, LLC</p></font></font></p><p>&copy; 2007 by Taylor &amp; Francis Group, LLC</p></font></font></font><font face="Serpentine-Medium" color="#1f1f1f" size="6"><font face="Serpentine-Medium" color="#1f1f1f" size="6"><font face="Serpentine-Medium" color="#1f1f1f" size="6"><p><font size="4">A Practical Guide Using Statistical Software</font></p><font face="Palatino-Roman" size="2"><font face="Palatino-Roman" size="2"><p align="left">The development of software for fitting linear mixed models was propelled by advances</p><p align="left">in statistical methodology and computing power in the late 20th century. These developments,</p><p align="left">while providing applied researchers with new tools, have produced a sometimes</p><p align="left">confusing array of software choices. At the same time, parallel development of the methodology</p><p align="left">in different fields has resulted in different names for these models, including</p><p align="left">mixed models, multilevel models, and hierarchical linear models. <font color="#e61a6b">This book provides a</font></p><p align="left"><font color="#e61a6b">reference on the use of procedures for fitting linear mixed models available in five popular</font></p><p align="left"><font color="#e61a6b">statistical software packages (SAS, SPSS, Stata, R/S-plus, and HLM).</font> The intended audience</p><p align="left">includes applied statisticians and researchers who want a basic introduction to the</p><p align="left">topic and an easy-to-navigate software reference.</p><p align="left">&nbsp;This book is intended to be a reference for practicing statisticians and applied researchers, and could be used in an</p><p align="left">advanced undergraduate or introductory graduate course on linear models.</p><p align="left">Given the ongoing development and rapid improvements in software for fitting linear</p><p align="left">mixed models, the specific syntax and available options will likely change as newer</p><p align="left">versions of the software are released. The most up-to-date versions of selected portions</p><p align="left">of the syntax associated with the examples in this book, in addition to many of the data</p><p align="left">sets used in the examples, are available at the following Web site:</p></font></font><font face="Palatino-Roman" color="#0000ff" size="2"><font face="Palatino-Roman" color="#0000ff" size="2"><font face="Palatino-Roman" color="#0000ff" size="2"><p align="left">http://www.umich.edu/~bwest/almmussp.html</p></font></font></font><font face="TimesNewRoman" size="1"><font face="TimesNewRoman" size="1"><p></p></font></font></font></font></font></font></font></i></b><br/>