Linear Models
Introduction
This site supports tutorial instruction on an linear
models, based on Littell, et al. (2002) SAS for Linear Models. The
materials in this site are appropriate for someone who has a reasonable command
of basic linear regression. In a basic regression course, it is usually
assumed that we are interesting in modeling effects based on observations of
independent and identically distributed observations (e.g. a single cross
section with simple random sampling). In the materials in this site, we
expand the application of the linear model to the analysis of data arising from
more complex design and sampling scenarios (e.g. experimental and
quasi-experimental designs, cases with nested or clustered samples). The
site is provided by Robert Hanneman,
in the Department of Sociology at the University
of California, Riverside. Your comments
and suggestions are welcome, as is your use of any materials you find here.
This site will eventually contain pages paralleling most
of the chapters of the Littell et al. book. Each of these pages will
contain reading notes, links to datasets, and examples. Where possible, we
have attempted to provide examples using SPSSx 11.0 and/or STATA to perform the
analyses presented in the text (which uses SAS).