Predicting closed head injury status with the Dean-Woodcock Sensory Motor Battery

The purpose of this study was to examine the utility of the Dean-Woodcock Sensory Motor Battery (DWSMB) as a diagnostic tool for identifying individuals with and without closed-head injury, comparing the predictive power of a two- and three-factor representation (DWSMB; Dean & Woodcock, 2003). T...

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Main Author: Budenz-Anders, Judey
Other Authors: Cassady, Jerrell C.
Format: Others
Published: 2011
Subjects:
Online Access:http://cardinalscholar.bsu.edu/handle/handle/175306
http://liblink.bsu.edu/uhtbin/catkey/1336626
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spelling ndltd-BSU-oai-cardinalscholar.bsu.edu-handle-1753062014-07-24T03:32:12ZPredicting closed head injury status with the Dean-Woodcock Sensory Motor BatteryBudenz-Anders, JudeyBrain -- Wounds and injuries -- Diagnosis.Neuropsychological tests.Sensorimotor integration -- Testing.Brain -- Wounds and injuries -- Patients -- Testing.The purpose of this study was to examine the utility of the Dean-Woodcock Sensory Motor Battery (DWSMB) as a diagnostic tool for identifying individuals with and without closed-head injury, comparing the predictive power of a two- and three-factor representation (DWSMB; Dean & Woodcock, 2003). The current study's major research questions focused on the predictive utility of the structure of the DWSMB. The simplified two-factor model (Total Sensory and Total Motor), based on the DWSMB manual (Dean & Woodcock), was compared to a three-factor theoretical model (Basic Sensory, Higher Sensory and Motor Functions) (R.S.Dean, personal communication, March 29, 2006) for this study. Logistic Regression was used to analyze the data. Results from this study demonstrate that when using the two-factor solution, the overall correct prediction of group membership was 73.8 % (59.4% for CHI and 85.2% for normals). The Total Motor Impairment variable was the only meaningful predictor. The results from the three-factor solution show an 84.2 % overall correct prediction rate (71.4 % for CHI and 95.1 % for normals). The significant contributors for identifying CHI when using the three-factor model included Basic Sensory and Motor Functions. Everything favors the three-factor model as being more precise. All indicators of prediction accuracy and goodness of fit favored the three-factor model. Based on these results, the DWSMB was determined to be a good screening instrument for identifying children in school contexts who should be referred for a neuropsychological examination to confirm pre-existing CHI that interfere with school functioning.Department of Educational PsychologyCassady, Jerrell C.2011-06-03T19:23:42Z2011-06-03T19:23:42Z20062006v, 74 leaves : ill. ; 28 cm.LD2489.Z68 2006 .B83http://cardinalscholar.bsu.edu/handle/handle/175306http://liblink.bsu.edu/uhtbin/catkey/1336626Virtual Press
collection NDLTD
format Others
sources NDLTD
topic Brain -- Wounds and injuries -- Diagnosis.
Neuropsychological tests.
Sensorimotor integration -- Testing.
Brain -- Wounds and injuries -- Patients -- Testing.
spellingShingle Brain -- Wounds and injuries -- Diagnosis.
Neuropsychological tests.
Sensorimotor integration -- Testing.
Brain -- Wounds and injuries -- Patients -- Testing.
Budenz-Anders, Judey
Predicting closed head injury status with the Dean-Woodcock Sensory Motor Battery
description The purpose of this study was to examine the utility of the Dean-Woodcock Sensory Motor Battery (DWSMB) as a diagnostic tool for identifying individuals with and without closed-head injury, comparing the predictive power of a two- and three-factor representation (DWSMB; Dean & Woodcock, 2003). The current study's major research questions focused on the predictive utility of the structure of the DWSMB. The simplified two-factor model (Total Sensory and Total Motor), based on the DWSMB manual (Dean & Woodcock), was compared to a three-factor theoretical model (Basic Sensory, Higher Sensory and Motor Functions) (R.S.Dean, personal communication, March 29, 2006) for this study. Logistic Regression was used to analyze the data. Results from this study demonstrate that when using the two-factor solution, the overall correct prediction of group membership was 73.8 % (59.4% for CHI and 85.2% for normals). The Total Motor Impairment variable was the only meaningful predictor. The results from the three-factor solution show an 84.2 % overall correct prediction rate (71.4 % for CHI and 95.1 % for normals). The significant contributors for identifying CHI when using the three-factor model included Basic Sensory and Motor Functions. Everything favors the three-factor model as being more precise. All indicators of prediction accuracy and goodness of fit favored the three-factor model. Based on these results, the DWSMB was determined to be a good screening instrument for identifying children in school contexts who should be referred for a neuropsychological examination to confirm pre-existing CHI that interfere with school functioning. === Department of Educational Psychology
author2 Cassady, Jerrell C.
author_facet Cassady, Jerrell C.
Budenz-Anders, Judey
author Budenz-Anders, Judey
author_sort Budenz-Anders, Judey
title Predicting closed head injury status with the Dean-Woodcock Sensory Motor Battery
title_short Predicting closed head injury status with the Dean-Woodcock Sensory Motor Battery
title_full Predicting closed head injury status with the Dean-Woodcock Sensory Motor Battery
title_fullStr Predicting closed head injury status with the Dean-Woodcock Sensory Motor Battery
title_full_unstemmed Predicting closed head injury status with the Dean-Woodcock Sensory Motor Battery
title_sort predicting closed head injury status with the dean-woodcock sensory motor battery
publishDate 2011
url http://cardinalscholar.bsu.edu/handle/handle/175306
http://liblink.bsu.edu/uhtbin/catkey/1336626
work_keys_str_mv AT budenzandersjudey predictingclosedheadinjurystatuswiththedeanwoodcocksensorymotorbattery
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