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Predicting global and specific neurological impairment with sensory-motor functioning
The present study assessed the ability of the Dean– Woodcock Sensory-Motor Battery (DWSMB) to distinguish between normal subjects and neurologically impaired individuals. Scores from the subtests of the DWSMB for 250 normal and 250 neurologically impaired individuals were randomly assigned to two eq...
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Published in: | Archives of clinical neuropsychology 2006-04, Vol.21 (3), p.203-210 |
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container_title | Archives of clinical neuropsychology |
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creator | Volpe, Alessandra G. Davis, Andrew S. Dean, Raymond S. |
description | The present study assessed the ability of the
Dean–
Woodcock Sensory-Motor Battery (DWSMB) to distinguish between normal subjects and neurologically impaired individuals. Scores from the subtests of the DWSMB for 250 normal and 250 neurologically impaired individuals were randomly assigned to two equal groups to allow for cross-validation. The DWSMB was able to correctly identify 92.8% of the cases, identifying 94.4% of the normal population and 91.2% of the neurologically impaired subjects. The cross-validation correctly identified 87.2% of the total cases, identifying 91.2% of the normal subjects and 83.2% of the neurologically impaired subjects. An additional discriminant analysis indicated that the DWSMB correctly identified the following cases: 44.9% cardio-vascular accidents, 66.7% multiple sclerosis, 40% seizures, 42% traumatic brain injuries, 62.7% dementia, and 54.5% Parkinson's disease. The results add to the validity of the DWSMB by providing evidence of its ability to differentiate between neurologically impaired and normal individuals. |
doi_str_mv | 10.1016/j.acn.2005.12.005 |
format | article |
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Dean–
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Dean–
Woodcock Sensory-Motor Battery (DWSMB) to distinguish between normal subjects and neurologically impaired individuals. Scores from the subtests of the DWSMB for 250 normal and 250 neurologically impaired individuals were randomly assigned to two equal groups to allow for cross-validation. The DWSMB was able to correctly identify 92.8% of the cases, identifying 94.4% of the normal population and 91.2% of the neurologically impaired subjects. The cross-validation correctly identified 87.2% of the total cases, identifying 91.2% of the normal subjects and 83.2% of the neurologically impaired subjects. An additional discriminant analysis indicated that the DWSMB correctly identified the following cases: 44.9% cardio-vascular accidents, 66.7% multiple sclerosis, 40% seizures, 42% traumatic brain injuries, 62.7% dementia, and 54.5% Parkinson's disease. The results add to the validity of the DWSMB by providing evidence of its ability to differentiate between neurologically impaired and normal individuals.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Brain Diseases - diagnosis</subject><subject>Brain Diseases - physiopathology</subject><subject>Brain Diseases - psychology</subject><subject>Cerebral Cortex - physiopathology</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Discriminant Analysis</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Neurological impairment</subject><subject>Neuropsychological Tests</subject><subject>Perception - physiology</subject><subject>Predictive Value of Tests</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychometrics. Diagnostic aid systems</subject><subject>Psychomotor Performance - physiology</subject><subject>Psychopathology. 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Psychoanalysis. Psychiatry</topic><topic>Psychometrics. Diagnostic aid systems</topic><topic>Psychomotor Performance - physiology</topic><topic>Psychopathology. Psychiatry</topic><topic>Reproducibility of Results</topic><topic>Sensory-motor functioning</topic><topic>Techniques and methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Volpe, Alessandra G.</creatorcontrib><creatorcontrib>Davis, Andrew S.</creatorcontrib><creatorcontrib>Dean, Raymond S.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Archives of clinical neuropsychology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Volpe, Alessandra G.</au><au>Davis, Andrew S.</au><au>Dean, Raymond S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting global and specific neurological impairment with sensory-motor functioning</atitle><jtitle>Archives of clinical neuropsychology</jtitle><addtitle>Arch Clin Neuropsychol</addtitle><date>2006-04-01</date><risdate>2006</risdate><volume>21</volume><issue>3</issue><spage>203</spage><epage>210</epage><pages>203-210</pages><issn>0887-6177</issn><eissn>1873-5843</eissn><coden>ACNEET</coden><abstract>The present study assessed the ability of the
Dean–
Woodcock Sensory-Motor Battery (DWSMB) to distinguish between normal subjects and neurologically impaired individuals. Scores from the subtests of the DWSMB for 250 normal and 250 neurologically impaired individuals were randomly assigned to two equal groups to allow for cross-validation. The DWSMB was able to correctly identify 92.8% of the cases, identifying 94.4% of the normal population and 91.2% of the neurologically impaired subjects. The cross-validation correctly identified 87.2% of the total cases, identifying 91.2% of the normal subjects and 83.2% of the neurologically impaired subjects. An additional discriminant analysis indicated that the DWSMB correctly identified the following cases: 44.9% cardio-vascular accidents, 66.7% multiple sclerosis, 40% seizures, 42% traumatic brain injuries, 62.7% dementia, and 54.5% Parkinson's disease. The results add to the validity of the DWSMB by providing evidence of its ability to differentiate between neurologically impaired and normal individuals.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><pmid>16517117</pmid><doi>10.1016/j.acn.2005.12.005</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Biological and medical sciences Brain Diseases - diagnosis Brain Diseases - physiopathology Brain Diseases - psychology Cerebral Cortex - physiopathology Child Child, Preschool Discriminant Analysis Female Humans Male Medical sciences Middle Aged Neurological impairment Neuropsychological Tests Perception - physiology Predictive Value of Tests Psychology. Psychoanalysis. Psychiatry Psychometrics. Diagnostic aid systems Psychomotor Performance - physiology Psychopathology. Psychiatry Reproducibility of Results Sensory-motor functioning Techniques and methods |
title | Predicting global and specific neurological impairment with sensory-motor functioning |
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