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From  "Vogt, Dawne" <[email protected]> 
To  "'[email protected]'" <[email protected]> 
Subject  RE: st: calculating effect sizes when using svy command 
Date  Tue, 7 Dec 2010 16:11:28 0500 
Thanks. So it sounds like I can take the square root of the R squared value to get the correlation coefficient for a regression with 1 predictor. But how do I get effect size indicators (preferably in the form of correlation coefficients) for each predictor in a regression with multiple predictors?
Original Message
From: [email protected] [mailto:[email protected]] On Behalf Of Steven Samuels
Sent: Tuesday, December 07, 2010 4:00 PM
To: [email protected]
Subject: Re: st: calculating effect sizes when using svy command


I should have added: The relation of (partial) rsquares to t
statistics holds only for ordinary least squares, not for the
estimation formulas of survey regression. So, neither of your
calculated r's is correct.
Steve
On Dec 7, 2010, at 3:31 PM, Vogt, Dawne wrote:
I have two questions related to calculating effect sizes using svyreg
(pweights):
First, when doing unweighted regressions in SPSS, I like to provide
effect sizes for each predictor by calculating a correlation
coefficient value (r) from the t values provided in the output. I like
using r because it is easy for most people to interpret. Can I do the
same using svyreg output?
My second question is related to the first. Since there is no
correlation option under the svy commands, I have been computing
regressions of Y on X and X and Y and using the largest p value of the
two sets of results, as recommended elsewhere. I've having trouble
figuring out how to convert the results provided in the output to a
correlation coefficient though. I noticed that the r value I get by
taking the square root of the R squared is different from my own hand
calculation of r derived from the t value provided in the regression
output [sqrt of (t squared divided by t squared + df). I'm not sure
which r is correct (or if either of them are correct).
Thanks in advance for any guidance others may be able to offer.
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