Multivariate techniques were used to study the relationships among environmental, sociocultural, biological, and developmental variables, and their ability to discriminate between learning disabled (LD) and regular education students. Univariate analyses were employed to identify variables that were included in a discriminant analysis. Through this combination of analyses, variables that might be considered as risk factors were isolated. Variables which contributed to the separation of LD children from those not placed in special education were developmental delays, baby's length at birth, and sex of child. Developmental delays and serious illness of the child were variables most contributing to the separation of LD from low achieving children. While not increasing the accuracy of classification, these antecedent variables appear to predict probability of LD placement as accurately as academic performance or clinical decision, thus allowing early intervention rather than procedures used after learning problems have been identified.