Discriminant function analysis

Discriminant function analysis involves the predicting of a categorical dependent variable by one or more continuous or binary independent variables. It is statistically the opposite of MANOVA ^{[clarification needed]}. It is useful in determining whether a set of variables is effective in predicting category membership.
It is also a useful follow-up procedure to a MANOVA instead of doing a series of one-way ANOVAs, for ascertaining how the groups differ on the composite of dependent variables.

See also

 

Wikiversity has learning resources about Discriminant function analysis

• Statistical classification
• Linear discriminant analysis
• Multiple discriminant analysis

External links

• Course notes, Discriminant function analysis by G. David Garson, NC State University
• Course notes, Discriminant function analysis by David W. Stockburger, Missouri State University