Discriminant function analysis: Difference between revisions

Revision as of 22:01, 15 February 2016

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Percent correctly classified can also be analyzed as an effect size. The kappa value{{clarify|date=April 2012}} can describe this while correcting for chance agreement.<ref name="green"/>

'''Bold text'''==Variations==

*[['''Linear Discriminant Analysis#Multiclass LDA|Multiple discriminant analysis (MDA)]]: related to MANOVA. Has more than two groups, and uses multiple dummy variables.<ref name="garson">Garson, G. D. (2008). Discriminant function analysis. http://www2.chass.ncsu.edu/garson/pa765/discrim.htm .</ref>

*Sequential discriminant analysis: assesses the importance of a set of IVs over and above a set of controls. In this case, the controls are entered first, and then the IVs.<ref name="garson"/>

*Stepwise discriminant analysis: Selects the most correlated predictor first, removes that variance in the grouping variable then adds the next most correlated and continues until the change in canonical correlation is not significant. Of course, both forward and backward stepwise procedures may be performed.<ref name="garson"/>

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==Comparison to logistic regression==