| 书目名称 | Cluster Analysis in Neuropsychological Research | | 副标题 | Recent Applications | | 编辑 | Daniel‘N. Allen,Gerald Goldstein | | 视频video | | | 概述 | Provides descriptions of accessible and readily applicable classification methods relevant to neuropsychological research.Provides guidance to understanding of the now extensive cluster analytic liter | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2013 | | 关键词 | Halstead Reitan Neuropsychological Test; Test of Memory and Learning; Trail Making Test; cluster analys | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-6744-1 | | isbn_softcover | 978-1-4899-9863-7 | | isbn_ebook | 978-1-4614-6744-1 | | copyright | Springer Science+Business Media New York 2013 |
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发表于 2025-3-21 17:25:50
