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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Bibliographic Details
Published in:Archives of clinical neuropsychology 2006-04, Vol.21 (3), p.203-210
Main Authors: Volpe, Alessandra G., Davis, Andrew S., Dean, Raymond S.
Format: Article
Language:English
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
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Summary: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.
ISSN:0887-6177
1873-5843
DOI:10.1016/j.acn.2005.12.005