Multivariate Techniques in Neuropsychology: III. Discriminant Function Analysis.
International Journal of Clinical Neuropsychology
Discusses discriminant function analysis (DFA) as a form of multiple regression that allows for the prediction of group membership of an S on the basis of several predictors. The 2 main types of methodologies used to perform DFA are reviewed, full-model DFA and stepwise DFA. A computational example using data from the Luria-Nebraska Neuropsychological Battery is presented. (12 ref)
Michael, F. D.,
Golden, C. J.
(1985). Multivariate Techniques in Neuropsychology: III. Discriminant Function Analysis.. International Journal of Clinical Neuropsychology, 7(2), 80-87.
Available at: https://nsuworks.nova.edu/cps_facarticles/752