Since most datasets contain a number of variables, multivariate
methods are helpful in answering a variety of research questions.
Accessible to students and researchers without a substantial
background in statistics or mathematics, Essentials of Multivariate
Data Analysis explains the usefulness of multivariate methods in
applied research. Unlike most books on multivariate methods, this
one makes straightforward analyses easy to perform for those who
are unfamiliar with advanced mathematical formulae. An easily
understood dataset is used throughout to illustrate the techniques.
The accompanying add-in for Microsoft Excel can be used to carry
out the analyses in the text. The dataset and Excel add-in are
available for download on the book's CRC Press web page. Providing
a firm foundation in the most commonly used multivariate
techniques, this text helps readers choose the appropriate method,
learn how to apply it, and understand how to interpret the results.
It prepares them for more complex analyses using software such as
Minitab, R, SAS, SPSS, and Stata.
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