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Date:         Fri, 3 Nov 2000 08:38:05 -0500
Reply-To:     "C. Mitchell Dayton" <cd4@UMAIL.UMD.EDU>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         "C. Mitchell Dayton" <cd4@UMAIL.UMD.EDU>
Subject:      Re: partial correlations
Comments: To: Friedrich Funke <Friedrich.Funke@RZ.UNI-JENA.DE>
In-Reply-To:  <NEBBIIADMENHGLKMAJFLMEIPCDAA.sff@uni-jena.de>
Content-Type: TEXT/PLAIN; CHARSET=US-ASCII

I would use the Hotelling t test (Annals of Mathematical Statistics, 1940, volume 11, p 271-283) and adjust the degrees of freedom by 1 (i.e., n-4 rather than n-3). On the off chance that you don't have the 1940 volume of the Annals, a more "modern" reference is H. Walker & J. Lev, Statistical Inference, Holt, 1953. Also, you can find the formula (in a PDF file) on my course web site: http://www.education.umd.edu/EDMS/EDMS651Notices.html Perhaps someone can provide more recent references.

On Fri, 3 Nov 2000 11:00:06 +0100 Friedrich Funke <Friedrich.Funke@RZ.UNI-JENA.DE> wrote:

> hi, > i want to test the difference of two partial correlations. the "dependent" > variable is the same and the controled variable is the same as well. any > hints? > > r(ab.c) vs r(db.c) > thanx in advance, > fritz. > > ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ > dipl.psych. friedrich funke > > friedrich-schiller-universität jena > institut für psychologie > methodenlehre und evaluationsforschung > steiger 3 haus 1 > d-07743 jena > > tel.: +49 / (0)3641 / 945-235 > fax.: +49 / (0)3641 / 945-232 > http://www.uni-jena.de/~sff > ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

---------------------- C. Mitchell Dayton, Professor Department of Measurement & Statistics and Joint Program in Survey Methodology cd4@umail.umd.edu


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