Classification and regression tree analysis of a neurologically impaired and normal sample using sensory-motor tasks

International Journal of Neuroscience

Volumn 117, Issue 1, 2007, Pages 11-23

  Davis, Andrew S ^a   Finch, W Holmes ^a   Trinkle, James M ^a   Dean, Raymond S ^a   Woodcock, Richard W ^b  

^a BALL STATE UNIVERSITY   (United States)

^b Measurement/Learning/Consultants   (United States)

Author keywords

Motor; Neuropsychological assessment; Sensory; Statistics; Validity

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; BRAIN CORTEX; CHILD; CLASSIFICATION AND REGRESSION TREE ANALYSIS; CONSTRUCT VALIDITY; DEAN WOODCOCK SENSORY MOTOR BATTERY; DECISION TREE; FEMALE; GAIT AND STATION SUBTEST; HEARING ACUITY; HUMAN; INFORMATION; MAJOR CLINICAL STUDY; MALE; MEASUREMENT; NEUROLOGIC DISEASE; SAMPLE; SCORING SYSTEM; SENSORIMOTOR FUNCTION; SEPARATION TECHNIQUE; STATISTICAL ANALYSIS;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CHILD; CHILD, PRESCHOOL; DECISION TREES; FEMALE; HUMANS; MALE; MIDDLE AGED; NEUROPSYCHOLOGICAL TESTS; PSYCHOMOTOR PERFORMANCE; REFERENCE VALUES; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSATION; SENSITIVITY AND SPECIFICITY; SOMATOSENSORY DISORDERS;

EID: 33846984942     PISSN: 00207454     EISSN: 15635279     Source Type: Journal    
DOI: 10.1080/00207450500535453     Document Type: Article

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