Multivariate Techniques in Neuropsychology: III. Discriminant Function Analysis.

Author(s)

Franzen D. Michael
Charles J. Golden, Nova Southeastern UniversityFollow

Document Type

Article

Publication Date

1985

Publication Title

International Journal of Clinical Neuropsychology

Volume

7

Issue/Number

2

First Page

80

Last Page

87

Abstract/Excerpt

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)

NSUWorks Citation

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