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Re: st: moderated mediation logistic outcome


From   Nick Cox <njcoxstata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: moderated mediation logistic outcome
Date   Fri, 28 Oct 2011 09:09:58 +0100

Sorry, no idea on your main question. Just a comment that

        generate switch    = .
        replace  switch = 0 if (usepurchase <= 1)
        replace  switch = 1 if (usepurchase >= 2)
        rename switch y  /* dependent variable   */

can be rewritten as one line

       gen y = usepurchase >= 2 if usepurchase < .

Nick

On Fri, Oct 28, 2011 at 8:57 AM, Tobias Schlager
<tobias.schlager@unisg.ch> wrote:
> Dear List
>
> I am encountering a problem with moderated mediation. I wanted to use
> moderated mediation as in the link below specified by Preacher et al.,
> however, my dependent variable is binary.
> For this, I was trying to implement a logistic regression, however, I am
> not sure about the correct specification, because from what I know sureg
> is only for linear regression.
>
> Here is my specification which relates to model 1 of the link below:
>        use "x.dta", clear
>        generate switch    = .
>        replace  switch = 0 if (usepurchase <= 1)
>        replace  switch = 1 if (usepurchase >= 2)
>        rename switch y  /* dependent variable   */
>        rename satis x     /* independent variable */
>        rename dbpu m     /* mediator variable    */
>        quietly summarize x
>        global m=r(mean)
>        global s=r(sd)
>        generate mx=m*x  /*  mv by iv interaction */
>        sureg (m x)(y m x mx)
>
> It would be great if anybody knew how to do this. Thanks a lot,
> Tobias
>
>
> http://www.ats.ucla.edu/stat/stata/faq/modmed.htm#model1

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