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Date:         Fri, 17 Nov 2006 17:32:09 -0500
Reply-To:     Art@DrKendall.org
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Art Kendall <Art@DRKENDALL.ORG>
Organization: Social Research Consultants
Subject:      Re: Stats quest re Factor Loadings
Comments: To: KEVIN MANNING <kmannin4@jhmi.edu>
In-Reply-To:  <f43ba7cc3714.455d96eb@johnshopkins.edu>
Content-type: text/plain; charset=ISO-8859-1; format=flowed

This is where the art (no pun intended) of factor analysis comes in.

Try using |.5| with no second loading gt |.35| and relax the criteria if you don't end up with at least 5 or 4 variables on each factor.

At this stage interpretability carries a lot of weight, so subject matter matters.

If you keep items that are not as clean, you could use the "alpha if item deleted" as a decision aid for final item selection.

Eliminating splitters sometimes carries more weight in deciding about an item than the absolute size of the loading.

Art Kendall Social Research Consultants.

KEVIN MANNING wrote:

>Hello all, > > A statistical question: I have run a prinicapl components analysis of tests of executive functioning resulting in four factors. I am trying to determine a cut-off for the loading to determine which measures to include in each factor. I have received varying advice, with either a .4 or .5 as the cut-off. Not sure which to use (if either). > > I realize the definition of factors is guided by theory, but this is an exploratory procedure, and I want to include the the loadings for each factor that explain the most variance. Thank you. > > Kevin Manning > > > >


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