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Date:         Tue, 6 Dec 2005 12:21:15 -0600
Reply-To:     "Swank, Paul R" <>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         "Swank, Paul R" <>
Subject:      Re: Significance testing between R-square from linear and
              R-square              from curvilinear regression (Revised).
Content-Type: text/plain; charset="us-ascii"

Steiger's multicor program will do that.

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

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

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

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

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

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

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

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

Should I do time series analysis?

Any help will be greately appreciated. Thanks in advance,


- Sungeun Chung, Ph.D.

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

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