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

dc.contributor.advisorCassady, Jerrell C.en_US
dc.contributor.authorBudenz-Anders, Judeyen_US
dc.description.abstractThe 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.en_US
dc.description.degreeThesis (Ph. D.)en_US
dc.description.sponsorshipDepartment of Educational Psychology
dc.format.extentv, 74 leaves : ill. ; 28 cm.en_US
dc.identifierLD2489.Z68 2006 .B83en_US
dc.sourceVirtual Pressen_US
dc.subject.lcshBrain -- Wounds and injuries -- Diagnosis.en_US
dc.subject.lcshNeuropsychological tests.en_US
dc.subject.lcshSensorimotor integration -- Testing.en_US
dc.subject.lcshBrain -- Wounds and injuries -- Patients -- Testing.en_US
dc.titlePredicting closed head injury status with the Dean-Woodcock Sensory Motor Batteryen_US
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