rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Cluster Analysis in Neuropsychological Research
    sub title: Recent Applications
  name:
    name part: Allen, Daniel N.
    role:
      role term: editor.
  name:
    name part: Goldstein, Gerald.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VII, 136 p. online resource.
  abstract: Classification and subtyping have been an important part of psychology from its earliest days, essential to personality, pathology, and other key aspects of the field. Within neuropsychology specifically, improvements in classification have led to greater accuracy in assessment, diagnosis, and approaches to treatment, with cluster analysis recently emerging as a complement or an alternative to clinical observation and to other statistics-based methods. Cluster Analysis in Neuropsychological Research reviews the basics of cluster analysis, examines challenges to its use, and applies its methods to ongoing research questions across neuropsychology. Chapters illustrate the mathematical concepts underlying cluster analysis and overview areas of its most notable use (e.g., learning disabilities, brain injury, schizophrenia) before moving on to current lines of inquiry. Subjects in these studies include individuals with medical pathologies, neurologically stable individuals with diagnosed psychiatric illness, and normal individuals, resulting not only in useful empirical data, but also robust methods by which new studies may be developed. Included in the coverage: Statistical and methodological considerations when using cluster analysis. Application of cluster analysis to investigate neuropsychological heterogeneity in psychiatric and neurological patients. Identifying neurodevelopmental stages of memory from childhood through adolescence with cluster analysis. A neuropsychological approach to classifying TBI severity in youth. Classification with cluster analysis of health problems of homeless veterans. Possibilities for using cluster analysis in other diverse areas of neuropsychology. Neuropsychologists and cognitive neuroscientists will find Cluster Analysis in Neuropsychological Research a stimulating guide to a promising platform for future developments in the field.
  table 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.
  note: edited by Daniel N. Allen, Gerald Goldstein.
  subject:
    topic: Psychology
  subject:
    topic: Neuropsychology
  subject:
    topic: Psychology
    topic: Methodology
  subject:
    topic: Psychological measurement
  subject:
    topic: Psychometrics
  subject:
    topic: Psychology
  subject:
    topic: Neuropsychology
  subject:
    topic: Psychometrics
  subject:
    topic: Psychological Methods/Evaluation
  classification: QP351-495
  classification: QP360-360.7
  classification: 612.8
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781461467441
  identifier: http://dx.doi.org/10.1007/978-1-4614-6744-1
  record info:
    record creation date: 130503
    record change date: 20151106101012.0
    record identifier: 978-1-4614-6744-1