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Author Schinka, John A. ♦ Pii, S. ♦ Rodney D., V. ♦ Axelrod, Bradley N. ♦ Haley, James A.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract Efforts to determine premorbid intellectual functioning for a patient prior to their current evalu-ation has been attempted using demographic information, current performance data, or a com-bination of both. Five of these premorbid intellectual prediction methods were assessed in a sample of 104 neurological patients referred for neuropsychological evaluation and a matched control sample. Predicted Full-Scale Intelligence Quotient (FSIQ) scores of patients did not dif-fer from the true FSIQ scores of the matched controls. Logistic regression analyses found no difference in classification accuracy among the prediction methods. The findings of this study found combined demographic and performance methods developed by Vanderploeg and
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study