Discriminant function analysis: Difference between revisions

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==Comparison to logistic regression==

Discriminant function analysis is very similar to [[logistic regression]], and both can be used to answer the same research questions.<ref name="green"/> Logistic regression does not have as many assumptions and restrictions as discriminant analysis. However, when discriminant analysis’ assumptions are met, it is more powerful than logistic regression.{{citation needed|date=April 2012}} Unlike logistic regression, discriminant analysis can be used with small sample sizes. It has been shown that when sample sizes are equal, and homogeneity of variance/covariance holds, discriminant analysis is more accurate.<ref name="buy"/> With all this being considered, logistic regression ishas become the common choice nowadays, since the assumptions of discriminant analysis are rarely met.<ref name="cohen"/><ref name="buy"/>

==See also==