This fully updated new edition not only provides an introduction
to a range of advanced statistical techniques that are used in
psychology, but has been expanded to include new chapters
describing methods and examples of particular interest to medical
researchers. It takes a very practical approach, aimed at enabling
readers to begin using the methods to tackle their own
problems.
This book provides a non-mathematical introduction to
multivariate methods, with an emphasis on helping the reader gain
an intuitive understanding of what each method is for, what it does
and how it does it. The first chapter briefly reviews the main
concepts of univariate and bivariate methods and provides an
overview of the multivariate methods that will be discussed,
bringing out the relationships among them, and summarising how to
recognise what types of problem each of them may be appropriate for
tackling. In the remaining chapters, introductions to the methods
and important conceptual points are followed by the presentation of
typical applications from psychology and medicine, using examples
with fabricated data.
Instructions on how to do the analyses and how to make sense of
the results are fully illustrated with dialogue boxes and output
tables from SPSS, as well as details of how to interpret and report
the output, and extracts of SPSS syntax and code from relevant SAS
procedures.
This book gets students started, and prepares them to approach
more comprehensive treatments with confidence. This makes it an
ideal text for psychology students, medical students and students
or academics in any discipline that uses multivariate methods.
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