In approaching this
revision, we have tried to embrace both academic and applied
researchers with a presentation strongly grounded in statistical
techniques, but focusing on design, estimation, and interpretation.
We continually strive to reduce our reliance on statistical notation
and terminology and instead to identify the fundamental concepts
which affect our use of these techniques and then express them in
simple terms. Our commitment remains to provide
a firm understanding of the statistical and managerial principles
underlying multivariate analysis so as to develop a “comfort zone”
not only for the statistical but also the practical issues involved.
What's New in the Sixth
obvious change in the sixth edition is the new database—HBAT.
The emphasis on improved measurement, particularly multi-item
constructs, led to its development. After substantial testing we
believe it provides an expanded teaching tool with various
techniques that are comparable to the HATCO database, which will
still be available on the book’s Web site.
A second major
addition is “Rules of Thumb” for the application and
interpretation of the various techniques. The rules of thumb are
highlighted throughout the chapters to facilitate their use. We
are confident these guidelines will facilitate your utilization
of the techniques.
A third major
change to the text is a substantial expansion in coverage of
structural equations modeling. We now have three chapters on
this increasingly important technique. Chapter 10 provides an
overview of structural equation modeling, Chapter 11 focuses on
confirmatory factor analysis, and Chapter 12 covers issues in
estimating structural models. These three chapters provide a
comprehensive introduction to this technique.
is an expanded set of supplementary materials for
instructors. PowerPoint slides are available for each
chapter, along with an updated Instructor's Manual. All of
these materials and more are available in the "Adopter's
Section" of this website.
What's Expanded and
Each chapter has
been revised to incorporate advances in technology, and several
chapters have undergone more extensive change.
“Multiple Discriminant Analysis and Logistic Regression,”
provides complete coverage of analysis of categorical dependent
variables, including both discriminant analysis and logistic
regression. Particular emphasis was placed on an expanded discussion of logistic regression
includes an illustrative example using the HBAT database.
“Conjoint Analysis,” contains a revised and updated examination of
"cutting edge" issues relating to both
research design and model estimation. This technique is rapidly
evolving as a critical tool in today's academic and practitioner
research efforts and our focus is on both practical and
conceptual issues that impact use of this technique.
Chapter 10, “Structural Equation Modeling,” has been updated and
expanded to three chapters in order to reflect the many changes in the field in the past
several years. Each chapter also contains a number of expanded
topics and example analyses such as testing higher-order factor
models, group models, and moderating and mediating variables.
Drop us an
e-mail if you have a comment, suggestion
or online resource you would like to share.
Multivariate Data Analysis
Hair, Black, Babin and Anderson