No description available.

The overall purpose of this study was to examine the relationships between two recently revised measures of intelligence (Woodcock-Johnson Tests of Cognitive Ability, Third Edition and Stanford Binet Intelligence Scale, Fifth Edition) and three shortened measures of intelligence (Woodcock-Johnson Tests of Cognitive Ability, Third Edition Brief Intellectual Ability Score, Stanford Binet Intelligence Scale, Fifth Edition Abbreviated IQ, and the Kaufman Brief Intelligence Test IQ Composite). Specifically, this study examined the accuracy of the three shortened scores in their ability to predict giftedness based on children's scores on the two full measures, with the intention of examining the implications of using shortened measures in a screening process for gifted identification.Participants were a group of 202 third-grade students enrolled in a suburban school district located in the Midwest. These students were selected for the study based on high achievement and/or cognitive scores on a state standardized test. The participants ranged in age from 8 years, 4 months to 10 years, 11 months and were assessed during the spring of their third grade year in 2003 and 2004. These children were administered the three measures over a two day period in a counterbalanced order.A set of univariate and multivariate procedures were used to examine hypothesized relationships between full and shortened measures. Significant positive relationships were observed between all five measures examined, although the highest correlations were produced between the full measure scores and their short forms. Discriminant function analyses were conducted to determine the accuracy of the three shortened measures in their prediction of giftedness based on five separate criteria using two full scale measures of intelligence. The results of all five multivariate discriminant function analyses were significant, indicating that the three shortened measures were able to group children accurately as compared to full scale scores, with classification rates ranging between 76.7 and 90.6. These analyses further revealed that the WJ III COG BIA was best able to predict giftedness in most cases, regardless of the criteria used. These results are intended to provide educators with information about the accuracy of three different shortened measures of intelligence so that informed decisions can be made regarding the use of these measures in selection processes for gifted programming. / Department of Educational Psychology

This study investigated the relationship between the Wechsler Adult Intelligence Scale-Revised (WAIS-R) and the Stanford-Binet Intelligence Scale: Fourth Edition (SBIV) in a brain-damaged adult sample. The sample in this study was composed of 30 adult patients at two residential treatment programs who completed comprehensive psychological evaluations between August, 1986 and November, 1987. Each patient was administered both the WAIS-R and the SBIV as part of these evaluations. Data gathered in this study was submitted to Pearson product moment correlational statistical procedures. Significant correlations were found in the following pairs of summary scores: the SBIV Test Composite Standard Age Score (SAS) and the WAIS-R Full Scale IQ; the SBIV Abstract/Visual Reasoning Area SAS and the WAIS-R Performance IQ; the SBIV Quantitative Reasoning Area SAS and the WAIS-R Verbal Scale IQ; the SBIV Verbal Reasoning Area SAS and the WAIS-R Verbal Scale IQ; the SBIV Short-Term Memory Area SAS and the WAIS-R Verbal Scale IQ; and the SBIV Short-Term Memory Area SAS and the WAIS-R Full Scale IQ. Significant correlations were also found in the following pairs of individual subtest results: the SBIV and WAIS-R Vocabulary subtests; the SBIV Memory for Digits subtest and the WAIS-R Digit Span subtest; the SBIV Pattern Analysis subtest and the WAIS-R Block Design subtest; and the SBIV Paper Folding and Cutting subtest and the WAIS-R Picture Arrangement subtest. Directions for future research were also suggested upon review of the subtest correlation matrix and the descriptive statistics of data generated.