[Mediation-information] Mediation analysis multilevel data ordered mediator

[Kosuke Imai]

yes, that's right.

Kosuke Imai
Department of Politics
Princeton University
http://imai.princeton.edu

On Tue, Sep 16, 2014 at 8:49 AM, Angel Rodriguez <
angel.rodriguez at matiainstituto.net> wrote:

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