Discriminant function analysis: Difference between revisions

Revision as of 22:46, 26 November 2016

Revision as of 21:45, 13 December 2016

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==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. {{cite web|url=http://www2.chass.ncsu.edu/garson/pa765/discrim.htm |title=Archived copy |accessdate=2008-03-04 |deadurl=yes |archiveurl=https://web.archive.org/web/20080312065328/http://www2.chass.ncsu.edu:80/garson/pA765/discrim.htm |archivedate=2008-03-12 |df= }} .</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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==External links==

{{wikiversity}}

* [https://web.archive.org/web/20080312065328/http://www2.chass.ncsu.edu:80/garson/pa765pA765/discrim.htm Course notes, Discriminant function analysis by G. David Garson, NC State University]

* [http://people.revoledu.com/kardi/tutorial/LDA/ Discriminant analysis tutorial in Microsoft Excel by Kardi Teknomo]

* [http://www.psychstat.missouristate.edu/multibook/mlt03m.html Course notes, Discriminant function analysis by David W. Stockburger, Missouri State University]