Re: st: sem mediation analysis - categorial mediator

[reitersa@cms.hu-berlin.de]

thank you very much for your answer!

I installed cmp, but I don't understand how it works...

This is my STATA command for my (mediation analysis (without any control
variables):

sem (lebenszufriedenheit <- bildungsreich aeq_einkommen teilzeit rente
nicht_erwerb) (aeq_einkommen <- bildungsreich) ///
(teilzeit rente nicht_erwerb <- bildungsreich) if e(sample), stand
vce(cluster hid)

The last path is the one with the categorial dependent (mediator) variable.

For me it would be enough to find literature where it is written that
STATA 12 cannot handle categorial mediators. Maybe you know something?

   Thank you very much, Sabrina



> Hi:
>
> If your mediator is endogenous, which it probably is, then you need to
> use an instrumental variable estimator that can handle the type of model
> you have.  -sem- or -gsem- can do this for you. If you model two
> "discrete" equations where the disturbances are assumed to be
> orthogonal, the model is potentially misspecified.
>
> Check out -cmp-, available from -ssc-; it can handle multinomials as
> mediators (multinomial probit in fact, that does not differ much from
> logistic).
>
> Else (not a good thing to say here), Mplus can handle such models with
> the WLSMV estimator:
>
> Muthén, B. O., du Toit, S. H. C., & Spisic, D. in press. Robust
> inference using weighted least squares and quadratic estimating
> equations in latent variable modeling with categorical and continuous
> outcomes. Psychometrika.
>
> HTH,
> J.
>
> __________________________________________
>
> John Antonakis
> Professor of Organizational Behavior
> Director, Ph.D. Program in Management
>
> Faculty of Business and Economics
> University of Lausanne
> Internef #618
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>
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> Organizational Research Methods
> __________________________________________
>
> On 19.03.2014 08:04, reitersa@cms.hu-berlin.de wrote:
>> I did an mediation analysis in STATA 12 with sem. My dependent variable
>> is
>> "life satisfaction" (continuous) and my mediator variable is "employment
>> status" (categorial (four categories)). (And I use several independent
>> variables.)
>> Do you know how STATA is handling the path from the independent variable
>> on the mediator? If I would not test this path with structural equation
>> modeling I had to test it with a multinomial logistic regression. So I
>> do
>> interpret my output coefficients of that specific path as relative risk
>> ratios or like the regression coefficients of the other paths (e.g.
>> mediator -->DV)?
>> Maybe you can recommend me some literatur on that topic. That would be
>> great!
>>
>>    Thank you very very much, Sabrina
>>
>>
>>
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>
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