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<TITLE>RE: [Mediation-information] Mediation analysis multilevel data ordered mediator</TITLE>
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<P><FONT SIZE=2>Thank you, Kosuke. You mean also that the mediator has to be dichotomized (it is the dependent variable in one of the equations). Right?<BR>
<BR>
Angel Rodriguez-Laso<BR>
<BR>
<BR>
-----Mensaje original-----<BR>
De: Kosuke Imai [<A HREF="mailto:kimai@princeton.edu">mailto:kimai@princeton.edu</A>]<BR>
Enviado el: mar 16/09/2014 14:48<BR>
Para: Angel Rodriguez<BR>
CC: mediation-information@r-forge.wu-wien.ac.at<BR>
Asunto: Re: [Mediation-information] Mediation analysis multilevel data ordered mediator<BR>
<BR>
As far as I know, there is no reliable frequentist implementation of<BR>
ordered multi-level in most packages such as R or Stata. My suggestion<BR>
would be to dichotomize the outcome variable (or use a linear model<BR>
approximation if you have a large number of categories) or use a Bayesian<BR>
MCMC approach.<BR>
<BR>
Best,<BR>
Kosuke<BR>
<BR>
Kosuke Imai<BR>
Department of Politics<BR>
Princeton University<BR>
<A HREF="http://imai.princeton.edu">http://imai.princeton.edu</A><BR>
<BR>
On Tue, Sep 16, 2014 at 6:46 AM, Angel Rodriguez <<BR>
angel.rodriguez@matiainstituto.net> wrote:<BR>
<BR>
><BR>
> Dear subscribers,<BR>
><BR>
> I've read that for causal mediation analysis of multilevel data, lmer or<BR>
> glmer have to be used. Isn't possible therefore to use an ordered<BR>
> categorical mediator in the analysis?<BR>
><BR>
> Thank you very much.<BR>
><BR>
> Angel Rodriguez-Laso<BR>
><BR>
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