Cluster Analysis In Neuropsychological Research

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    Cluster Analysis in Neuropsychological Research
    Recent Applications
    By: Daniel N. Allen
    Publisher:
    Springer
    Print ISBN: 9781461467434, 1461467438
    eText ISBN: 9781461467441, 1461467446
    Copyright year: 2013
    Format: EPUB
    Available from $ 99.00 USD
    SKU 9781461467441
    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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