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020 _a9781461467441
_9978-1-4614-6744-1
024 7 _a10.1007/978-1-4614-6744-1
_2doi
050 4 _aQP351-495
050 4 _aQP360-360.7
072 7 _aJMM
_2bicssc
072 7 _aPSY020000
_2bisacsh
082 0 4 _a612.8
_223
245 1 0 _aCluster Analysis in Neuropsychological Research
_h[electronic resource] :
_bRecent Applications /
_cedited by Daniel N. Allen, Gerald Goldstein.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aVII, 136 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aChapter 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.
520 _aClassification 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.
650 0 _aPsychology.
650 0 _aNeuropsychology.
650 0 _aPsychology
_xMethodology.
650 0 _aPsychological measurement.
650 0 _aPsychometrics.
650 1 4 _aPsychology.
650 2 4 _aNeuropsychology.
650 2 4 _aPsychometrics.
650 2 4 _aPsychological Methods/Evaluation.
700 1 _aAllen, Daniel N.
_eeditor.
700 1 _aGoldstein, Gerald.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461467434
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-6744-1
912 _aZDB-2-BHS
942 _2Dewey Decimal Classification
_ceBooks
999 _c44706
_d44706