Re: st: disattenuated regression

[John Antonakis <John.Antonakis@unil.ch>]

Right....I was talking about categorical indicators (of latent 
variables). Thanks for clarifying, "JVerkuilen".

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
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http://www.hec.unil.ch/people/jantonakis

Associate Editor
The Leadership Quarterly
__________________________________________


On 18.11.2012 17:47, JVerkuilen (Gmail) wrote:
> On Sun, Nov 18, 2012 at 11:33 AM, 'Alim Beveridge <alimba@gmail.com> 
wrote:
>> Hi John,
>> thanks again for your advice. I was thinking of doing this actually 
and have
>> been teaching myself how to use sem in stata.
>> However does it deal with dichotomous/categorical IVs, like Mplus does?
> If I understand your question correctly, your dichotomous variable is
> exogenous, so you are fine. You're conditioning on it and thus its
> distribution is not part of the likelihood to be optimized.
>
> (That said it would be nice if some other fit options were made part
> of -sem-, in particular unweighted least squares, diagonally weighted
> least squares, etc.)
>
>
>
>> also when I put a regression path between an observed IV (say age or 
hours
>> worked) and my latent DV, the model does not converge. These 
observed vars
>> are only in the structural part of my syntax, not the measurement. 
Is this
>> not allowed?
> Not converging can happen for a lot of reasons, e.g., an unidentified 
model.
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