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Re: st: sem mediation analysis - categorial mediator
From
John Antonakis <[email protected]>
To
[email protected]
Subject
Re: st: sem mediation analysis - categorial mediator
Date
Wed, 19 Mar 2014 17:55:57 +0100
Hi:
I think that the help file of the author of -cmp- is very useful and
lays out how to use cmp. After you go through it, why don't you try and
estimate the model and then show us what you did (your code) and what
errors you got and then maybe someone can help you.
Best,
J.
__________________________________________
John Antonakis
Professor of Organizational Behavior
Director, Ph.D. Program in Management
Faculty of Business and Economics
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland
Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305
http://www.hec.unil.ch/people/jantonakis
Associate Editor:
The Leadership Quarterly
Organizational Research Methods
__________________________________________
On 19.03.2014 17:40, [email protected] wrote:
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
CH-1015 Lausanne-Dorigny
Switzerland
Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305
http://www.hec.unil.ch/people/jantonakis
Associate Editor:
The Leadership Quarterly
Organizational Research Methods
__________________________________________
On 19.03.2014 08:04, [email protected] 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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