Overview
- Provides descriptions of accessible and readily applicable classification methods relevant to neuropsychological research
- Provides guidance to understanding of the now extensive cluster analytic literature in neuropsychology
- Provides illustrations of how behaviorally based subgroups within several clinical entities can be related to various other neuroscience methods
- Includes supplementary material: sn.pub/extras
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Cluster Analysis in Neuropsychological Research
Book Subtitle: Recent Applications
Editors: Daniel N. Allen, Gerald Goldstein
DOI: https://doi.org/10.1007/978-1-4614-6744-1
Publisher: Springer New York, NY
eBook Packages: Behavioral Science, Behavioral Science and Psychology (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-6743-4
Softcover ISBN: 978-1-4899-9863-7
eBook ISBN: 978-1-4614-6744-1
Edition Number: 1
Number of Pages: VII, 136
Topics: Neuropsychology, Psychometrics, Psychological Methods/Evaluation