[R] Control variables in mediation analysis

[John Fox]

Dear Ista and F.Doerwald,

F.Doerwald could also fit a model using sem() in the sem package, and then use deltaMethod() in the car package to get the estimated value and standard error of any function of model coefficients that he or she chooses.

Sorry, I didn't read the original posting.

I hope this helps,
 John

------------------------------------------------
John Fox
Sen. William McMaster Prof. of Social Statistics
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
http://socserv.mcmaster.ca/jfox/

On Thu, 21 Mar 2013 16:49:46 -0400
 Ista Zahn <istazahn at gmail.com> wrote:
> Hi,
> 
> Just about anything can be bootstrapped, that's one of the things that
> makes bootstrapping great! Use e.g., the boot package, and bootstrap
> the product of the coefficients.
> 
> Alternatively the mediation package
> (http://cran.r-project.org/web/packages/mediation/index.html) might
> help, though I'm not sure if it uses bootstrap.
> 
> Best,
> Ista
> 
> On Thu, Mar 21, 2013 at 3:21 PM, F.Doerwald <f.doerwald at student.rug.nl> wrote:
> > Hi everyone,I would like to test a mediation model, that has several control variables. More specifically, I would like to test the indirect effect with bootstrapping. However, all the packages I have found so far (e.g. MBESS) only allow testing a simple mediation model (One independent, one mediator, one dependent) so that I cannot include any controls.
> > Can somebody help me?
> >
> >
> >         [[alternative HTML version deleted]]
> >
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