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Cluster Analysis in Neuropsychological Research - Recent Applications (Paperback, 2013 ed.)
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Cluster Analysis in Neuropsychological Research - Recent Applications (Paperback, 2013 ed.)
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Cluster analysis is a multivariate classification technique that
allows for identification of homogenous subgroups within diverse
samples based on shared characteristics. In recent years, cluster
analysis has been increasingly applied to psychological and
neuropsychological variables to address a number of empirical
questions. This book provides an overview of cluster analysis,
including statistical and methodological considerations in its
application to neurobehavioral variables. First, an introduction to
cluster analysis is presented that emphasizes issues of relevance
to neuropsychological research, including controversies surrounding
it use. Cluster analysis is then applied to clinical disorders that
do not have an associated prototypical neuropsychological profile,
including traumatic brain injury, schizophrenia, and health
problems associated with homelessness. In a second application,
cluster analysis is used to investigate the course of normal memory
development. Finally, cluster analysis is applied to classification
of brain injury severity in children and adolescents who sustained
traumatic brain injury.
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