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Article
Multivariate Techniques in Neuropsychology: III. Discriminant Function Analysis.
International Journal of Clinical Neuropsychology
  • Franzen D. Michael
  • Charles J. Golden, Nova Southeastern University
Document Type
Article
Publication Date
1-1-1985
Disciplines
Peer Reviewed
0
Abstract
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)
Citation Information
Franzen D. Michael and Charles J. Golden. "Multivariate Techniques in Neuropsychology: III. Discriminant Function Analysis." International Journal of Clinical Neuropsychology Vol. 7 Iss. 2 (1985) p. 80 - 87
Available at: http://works.bepress.com/charles-golden/122/