During the 1980s, the use of log-linear statistical models in
behavioral and life-science inquiry increased markedly.
Concurrently, log-linear theory, developed largely during the
previous decade, has been streamlined and refined. An aim of this
second edition is to acquaint old and new readers with these
refinements. The most significant change that has occurred is the
increased availability of user-oriented computer programs for the
performance of log-linear analyses. During this period, all major
statistical packages (i.e., BMDP, SAS, and SPSS) introduced either
new or improved computer programs designed specifically for the
specification and fitting of log-linear models. Consequently, the
enhanced ability of practicing researchers to perform log-linear
analyses has been accompanied by an enhanced need for didactic
explanations of this system of analysis--for explanations of
log-linear theory and method that can be readily understood by
practitioners and graduate students who do not possess recondite
backgrounds in mathematical statistics, yet who desire to obtain a
level of understanding beyond that which is typically offered by
cookbook approaches to statistical topics. Another aim of this
second edition is to fulfill this need.
As before, this edition has been prepared for readers who have
had at least one intermediate-level course in applied statistics in
which the basic principles of factorial analysis of variance and
multiple regression were discussed. Also as before, to assist
readers with modest preparation in the analysis of
quantitative/categorical data, this edition will review topics in
such relevant areas as basic probability theory, traditional
chi-square goodness-of-fit procedures, and the method of
maximum-likelihood estimation. Readers with strong backgrounds in
statistics can skim over these preparatory discussions, contained
largely in Chapters 2 and 3, without prejudice.
General
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