Dear Bastiaan, The standard errors of the standardized coefficients aren't simple because the standard deviations used to standardize the coefficients are also subject to sampling error. I can think of two ways to get standard errors for the standardized coefficients: by the delta method and by bootstrapping. Neither method is implemented in the sem package. Figuring out how to apply the former would require some work; I'll put it on my to-do list, but may not get to it. The second approach could easily be implemented via the boot package.
I hope this helps, John > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of BdeGroot > Sent: May-20-09 7:41 AM > To: r-help@r-project.org > Subject: [R] SEM:Standard error of std.coef estimates? > > > Hi, > > I am currently working with the sem package in R, to create pathway > diagrams. Id like to use the standardized path coeffcients. To get these, I > use std.coef. However, using this yields only the standardized coefficients, > but does not give me the standard error. Does someone know how to get > std.coef to show the standard error of the standardized path coefficients as > well? > > > Thanks, > Bastiaan > > > PS: > When I use std.coef, all I get is this: > > std.coef(path.model.SSI4) > Std. Estimate > par1 par1 0.39499 com_veg <--- tempm > par2 par2 0.35231 SNutBili <--- tempm > par3 par3 -0.68170 S_SSI4 <--- tempm > par4 par4 -0.39145 com_veg <--- Wdeficit > par5 par5 -0.60025 SNutBili <--- Wdeficit > par6 par6 -0.20562 S_SSI4 <--- Wdeficit > par7 par7 0.14871 SNutBili <--- com_veg > par8 par8 0.14905 S_SSI4 <--- com_veg > par9 par9 -0.39164 S_SSI4 <--- SNutBili > -- > View this message in context: http://www.nabble.com/SEM%3AStandard-error-of- > std.coef-estimates--tp23633227p23633227.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
