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From |
Steven Samuels <[email protected]> |

To |
[email protected] |

Subject |
Re: st: calculating effect sizes when using svy command |

Date |
Tue, 7 Dec 2010 17:39:11 -0500 |

Well, I got the details wrong, but the example right. If the multiple regression is: svy: reg y x z svy: reg y z, with residual r_yz svy: reg x z, with residual r_xz

svy: reg r_yz r_xz Sorry for the confusion. Steve [email protected] On Dec 7, 2010, at 5:03 PM, Steven Samuels wrote: --

Steve **************************CODE BEGINS************************** sysuse auto, clear svyset rep78 [pw=trunk]

svy: reg mpg weight turn svy: reg mpg turn predict r_mt, resid svy: reg weight turn predict r_wt, resid svy: reg r_mt r_wt //R-squared is partial r-square ***************************CODE ENDS*************************** On Dec 7, 2010, at 4:18 PM, Nick Winter wrote:

http://www.stata.com/support/faqs/stat/survey.html

-Nick Winter On 12/7/2010 4:11 PM, Vogt, Dawne wrote:

Thanks. So it sounds like I can take the square root of the Rsquared value to get the correlation coefficient for a regressionwith 1 predictor. But how do I get effect size indicators(preferably in the form of correlation coefficients) for eachpredictor in a regression with multiple predictors?-----Original Message-----From: [email protected] [mailto:[email protected]] On Behalf Of Steven SamuelsSent: 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) r-squares 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. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

-- -------------------------------------------------------------- Nicholas Winter 434.924.6994 t Assistant Professor 434.924.3359 f Department of Politics [email protected] e University of Virginia faculty.virginia.edu/nwinter w S385 Gibson Hall, South Lawn * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: calculating effect sizes when using svy command***From:*Steven Samuels <[email protected]>

**References**:**st: calculating effect sizes when using svy command***From:*"Vogt, Dawne" <[email protected]>

**Re: st: calculating effect sizes when using svy command***From:*Steven Samuels <[email protected]>

**RE: st: calculating effect sizes when using svy command***From:*"Vogt, Dawne" <[email protected]>

**Re: st: calculating effect sizes when using svy command***From:*Nick Winter <[email protected]>

**Re: st: calculating effect sizes when using svy command***From:*Steven Samuels <[email protected]>

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