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'''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]]. It is useful in determining whether a set of variables is effective in predicting category membership. <br />
It is also a useful follow-up procedure to a MANOVA. Instead of doing a series of one-way [[Analysis of variance|ANOVA]]s, for ascertaining how the groups differ on the composite of dependent variables.
External Links
[[http://www2.chass.ncsu.edu/garson/pa765/discrim.htm]]
[[http://www.psychstat.missouristate.edu/multibook/mlt03m.html]]
[[Category:Multivariate statistics]]
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