| Abstract: | The present study attempted to develop a quantitative model using the WISC-R that could be used to predict those students most likely to be successful in gifted education programs. The study was conducted in two phases using two groups of gifted children. In phase one, 120 elementary students randomly chosen from a pullout program in a suburban school served as the subject pool. The subjects had varying degrees of success in the program. Phase one subject data were used to develop a quantitative model; phase two subjects were used for predictive purposes. Specific results in phase one yielded six maximally discriminant WISC-R subtests. These subtests were then used to predict at well above chance levels (87.8%) those students who were known to have been either marginally or highly successful in the program (n = 41). The present study goes one step beyond previous research by using these maximally discriminant subtests to predict program performance of gifted children. |
