This book covers the fundamental aspects of categorical data
analysis with an emphasis on how to implement the models used in
the book using SAS and SPSS. This is accomplished through the
frequent use of examples, with relevant codes and instructions,
that are closely related to the problems in the text. Concepts are
explained in detail so that students can reproduce similar results
on their own. Beginning with chapter two, exercises at the end of
each chapter further strengthen students' understanding of the
concepts by requiring them to apply some of the ideas expressed in
the text in a more advanced capacity. Most of these exercises
require intensive use of PC-based statistical software. Numerous
tables with results of analyses, including interpretations of the
results, further strengthen students' understanding of the
material. Categorical Data Analysis With SAS(R) and SPSS
Applications features: *detailed programs and outputs of all
examples illustrated in the book using SAS(R) 8.02 and SPSS on the
book's CD; *detailed coverage of topics often ignored in other
books, such as one-way classification (ch. 3), the analysis of
doubly classified data (ch. 11), and generalized estimating
equations (ch. 12); and *coverage of SAS(R) PROC FREQ, GENMOD,
LOGISTIC, PROBIT, and CATMOD, as well as SPSS PROC CROSSTABS,
GENLOG, LOGLINEAR, PROBIT, LOGISTIC, NUMREG, and PLUM. This book is
ideal for upper-level undergraduate or graduate-level courses on
categorical data analysis taught in departments of biostatistics,
statistics, epidemiology, psychology, sociology, political science,
and education. A prerequisite of one year of calculus and
statistics is recommended. The book has been class tested by
graduate students in the department of biometry and epidemiology at
the Medical University of South Carolina.
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