A structural equation analysis of the WISC-III in children with traumatic head injury

摘要: Abstract Maximum likelihood confirmatory factor analysis was performed on the WISC-III data of a sample 171 children with traumatic head injury (THI). Analyses were designed to determine which eight hypothesized oblique solutions, based competing latent variable models that identified in previous studies, could best explain cognition as measured by WISC-III. The findings supported four-factor model, proposed manual. This model (composed Verbal Comprehension, Perceptual Organization, Freedom from Distractibility, and Processing Speed) outperformed all other terms fit parsimony. It is concluded this most accurate predictor performance variability THI.