Multivariate Techniques in Neuropsychology: III. Discriminant Function Analysis.

Author(s)

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

Document Type

Article

Publication Title

International Journal of Clinical Neuropsychology

Publication Date

1985

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)

Volume

7

Issue

2

First Page

80

Last Page

87

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