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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.
List of contents
Chapter 1. Introduction.- Chapter 2.Statistical and Methodological Considerations When Using Cluster Analysis in Neuropsychological Research.- Chapter 3: Application of Cluster Analysis to Investigate Neuropsychological Heterogeneity in Psychiatric and Neurological Patients.- Chapter 4. Identifying Neurodevelopmental Stages of Memory from Childhood through Adolescence with Cluster Analysis.- Chapter 5. Classification of traumatic brain injury severity: A neuropsychological approach.- Chapter 6:Concluding Remarks.
About the author
Daniel N. Allen, Ph.D., is professor in the Department of Psychology at University of Nevada Las Vegas. He has published more than 125 scientific papers addressing various aspects of clinical neuropsychology and psychopathology. He has received national recognition for his work in the area of clinical neuropsychology, as evidenced by a number of prestigious awards, including the Nelson Butters Award and the Early Career Award from the National Academy of Neuropsychology. He has also received the Barrick Distinguished Scholar Award and the William Morris Award for Excellence in Scholarship from the University of Nevada Las Vegas.
Gerald Goldstein, Ph.D., is senior research career scientist at the VA Pittsburgh Healthcare System. He has received numerous honors and awards for his contributions to clinical neuropsychology, and has served the field in a variety of highly visible leadership positions, including President of the National Academy of Neuropsychology, President of the Clinical Neuropsychology Division (40) of the American Psychological Association, and President of the International Neuropsychological Society. Dr. Goldstein has authored more than 300 scientific papers.
Summary
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.
