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STA 4504-5503: CATEGORICAL DATA METHODS
Instructor
Alan Agresti, Department of Statistics
Office Hours
204 Griffin-Floyd Hall: Tuesday and Thursday
1:45-3:45, or by appointment
Contact Information
Phone number: (352) 392-1941 x 234, e-mail aa@stat.ufl.edu
Data Sets:
Link to the General Social Survey
GSS
Links about software
A website I've created for my more advanced book Categorical Data
Analysis (2nd edition, Wiley 2002) has details about various
software for conducting categorical data analysis.
SAS:
You can get SAS for your home PC with a one-year license through
the Student Home-Use
Program. A license costs about $50 but is free to renew for as
many years as you are at UF.
The CIRCA handout "SAS for
Windows" is useful for getting started. It can also be helpful to
use a primer such as "The Little SAS Book: A Primer" by L. Delwiche
and S. Slaughter or "SAS System for Elementary Statistical Analysis"
by S. Schlotzhauer and R. Littell.
The SAS/STAT User's Guide contains detailed information. Those
connecting at UF can see documentation of procedures
at SAS/STAT
guide. There you can find all the detail you need about PROCs we
use in this course, such as PROC GENMOD, PROC LOGISTIC, and PROC FREQ.
For examples of using SAS for categorical data analyses for many data
sets in the first edition of the text "An Introduction to Categorical
Data Analysis", see the useful site set up by
the UCLA
Statistical Computing Center.
SPSS:
A student version of SPSS is available at the
Technology Hub for about $75. You can get it more cheaply for your
home PC with a one-year license through
the Student Home-Use
Program. Here is a pdf handout on
basic use
of SPSS for categorical data analyses, taken from the appendix of
my book "Statistical Methods for the Social Sciences" (4th edition,
2008).
R and S-Plus:
R is free software, popular among
statisticians because of its power and flexibility but harder to learn
to use. It is an open source version of S-Plus, and many S-Plus
functions also work in R. For details, see the R web site . This includes a
link to manuals, such as "An Introduction to R", and to the archives
in the Comprehensive R Archive Network (CRAN).
Dr. Laura Thompson has prepared an excellent, detailed manual on the
use of S-Plus and R to conduct the analyses in my more advanced
textbook on categorical data analysis. You can get a copy of this at
Laura Thompson S
manual for CDA. Thanks very much to Dr. Thompson for providing
this very helpful resource, which I highly recommend to anyone
using R in this course.
For other useful information and links about R and S-Plus, see the
homepage of the UF professor Dr. Brett Presnell.
Dr. Presnell also has a page on R
for Categorical Data Analysis from when he taught STA 4504-5503
that has many examples of the use of R. Some of these are for data
sets in the text for this course.
Stata:
For examples of using Stata for categorical data
analyses for many data sets in the first edition of the text "An
Introduction to Categorical Data Analysis", see the useful site set
up by
the UCLA
Statistical Computing Center.
Exams
Here is a sample of
the types of questions (pdf file) you will see on Exam 1. There
will be a combination of true-false or multiple-choice questions as
well as problems. A couple of the problems are likely to come
directly from the homework exercises. The problems put main emphasis
on interpretation, rather than calculation. A formula page is
attached to the back of the exam so you do not feel it necessary to
memorize formulas. Here is a sample of the
types of questions (pdf file) you will see on Exam 2. There will
be some problems like these but also many true-false questions to test
your understanding of the concepts. Here is
a sample of the types of questions (pdf
file) you will see on Exam 3.
Exam 1 Formula page (PDF file; this
page will be attached to the exam)
Exam 2 Formula page (PDF file; this
page will be attached to the exam)
Exam 3 Formula page (PDF file; this
page will be attached to the exam)
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