title: Prediction of the academic success of children with suspected neurological impairments.
abstract: Explored a multivariate approach to the prediction of 8-year academic achievement. Ss were black, of low socioeconomic status, and had been diagnosed as suspect neurologically impaired at age 7. A serial array of early predictors that included maternal education, sex, birth weight, 8-month and 4-year intelligence, and 3-year speech, hearing, and language were entered into multiple regression analyses to determine their value in predicting 8-year academic achievement in word recognition, arithmetic, spelling, and oral reading. The 4-year intelligence measure was the best overall predictor, although maternal education, sex, and birth weight contributed slightly to the predictions. The resulting equations, however, could not be used to predict accurately 8-year academic achievement.
mesh_terms: D000124:Achievement; D001927:Brain Diseases / Q000523:psychology*; D002648:Child; D002657:Child Development; D002675:Child, Preschool; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007223:Infant; D007859:Learning Disabilities / Q000523:psychology*; D008297:Male; D011581:Psychological Tests