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Date:         Wed, 7 Dec 2005 11:29:49 +0100
Reply-To:     Marta García-Granero
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Marta García-Granero
Organization: Asesoría Bioestadística
Subject:      Re: Significance testing between R-square from linear and
              R-square              from curvilinear regression (Revised).
In-Reply-To:  <>
Content-Type: text/plain; charset=ISO-8859-15


Steiger's homepage:

And Multicorr page:

Anyway, the links in this page are wrong (they point to a nonexisting ftp site). I found out that the correct links for multicorr program & documentation are: - Program: - Manual:

HTH, Marta

SPR> Steiger's multicor program will do that.

SPR> "Want to compare multiple, partial, or canonical correlations for SPR> equality? SPR> Steiger and Browne (1984) show how you can do this by reprasing the SPR> hypothesis as a pattern hypothesis testable by MULTICORR. For a recent SPR> review of some related correlational tests, see Olkin and Finn (1995). SPR> References SPR> Olkin, I., and Finn, J.D. (1995). Correlations redux. Psychological SPR> Bulletin, 118, 155-164. SPR> Steiger, J.H. (1979). Multicorr: a computer program for fast, accurate, SPR> small-sample tests of correlational pattern hypotheses. Educational and SPR> Psychological Measurement, 39, 677-680. SPR> Steiger, J.H. (1980). Tests for comparing elements of a correlation SPR> matrix. Psychological Bulletin, 87, 245-251. SPR> Steiger, J.H., & Browne, M.W. (1984). The comparison of interdependent SPR> correlations between optimal linear composites. Psychometrika, 49, SPR> 11-21. "

SPR> Paul R. Swank, Ph.D. SPR> Professor, Developmental Pediatrics SPR> Director of Research, Center for Improving the Readiness of Children for SPR> Learning and Education (C.I.R.C.L.E.) SPR> Medical School SPR> UT Health Science Center at Houston

SPR> -----Original Message----- SPR> From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of SPR> Sungeun Chung SPR> Sent: Tuesday, December 06, 2005 11:18 AM SPR> To: SPSSX-L@LISTSERV.UGA.EDU SPR> Subject: Significance testing between R-square from linear and R-square SPR> from curvilinear regression (Revised).

SPR> Hi, I want to clarify my question in previous question.

SPR> I have two variables, X: time (11 time points) and Y: means of SPR> evaluation (one group, N = 132).

SPR> I expect that exponential function will fit better than a linear SPR> function to predict the trajectory.

SPR> I did a curve estimation with exponential function and found R-square SPR> from the exponential function is greater than R-square from a linear SPR> function. SPR> But how can I test if the difference in R-squares is signifcant?

SPR> I found a formular in Blalock (1972). But it requires correlation SPR> between Y and transformed Y.

SPR> Should I do time series analysis?

SPR> Any help will be greately appreciated. Thanks in advance,

SPR> Sungeun

SPR> - SPR> Sungeun Chung, Ph.D.

SPR> Assistant Professor SPR> Department of Communication SPR> Memorial Hall 303G SPR> Western Illinois University SPR> Macomb, IL 61455-1390 SPR> Tel. (309) 298-2219 SPR> E-mail:;

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SPR> Este mensaje ha sido analizado con NOD32 Antivirus System SPR>

-- Saludos, Marta

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