The WISC-R as a predictor of Woodcock-Johnson achievement cluster scores for learning-disabled students

Intelligence and achievement test scores of 100 school-identified, learning-disabled boys were analyzed. WISC-R students were analyzed for strengths and weaknesses, and patterns were identified through factor analysis. The factor loadings, as well as WISC-R IQs, were used as predictor variables, and the Woodcock-Johnson Achievement cluster scores comprised the achievement variables. A stepwise multiple regression indicated that the most powerful intelligence predictor for all three areas of achievement was the WISC-R Performance IQ. Four factor patterns significantly increased the prediction of Woodcock-Johnson Written Language scores.