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 Resmi Gupta posted on Tuesday, April 05, 2011 - 7:52 am
Hi,
I have one latent predictor (y1), one observed predictor (cb), one latent mediator(y2) and a latent outcome variable (e). I think there is an interaction effect between the latent predictor and the observed predictor on both mediator and outcome variable. Following is my code. I am not sure if this is the right code.

model: y1 by a b ;
y2 by c d ;
e1 by f g;
e2 by h i;
e by e1 e2;
y1cb | y1 xwith cb;
e on y2 y1 cb y1cb;
y2 on y1 cb y1cb;

y1@1, y2@1, e1@1, e2@1 ;

Would greatly appreciate your input.
Also, how is it differ from "mediated moderation" ?
Thanks,
Resmi Gupta
 Linda K. Muthen posted on Tuesday, April 05, 2011 - 9:01 am
The above looks correct except when you fix factor loadings to one to set the metric of the factor, you must free the first factor loading, for example,

y1 BY a* b;

The is a type of mediated moderation.
 Resmi Gupta posted on Tuesday, April 05, 2011 - 9:42 am
Thanks very much Dr. Muthen.
Regards,
Resmi Gupta
 Resmi Gupta posted on Wednesday, April 06, 2011 - 12:10 pm
Drs. Muthen,
I have a quick question on how to calculate indirect effect of a mediator and use Sobel test.I have 2 latent factor predictors (a, b in my code below), one mediator (observed, M ),a continuous outcome (Y). Finally x is my covariate.
Following is my code :

a by a1* a2;
b by b1* b2;
y on M a b x;
M on f1 f2;
f1 with f2;
f1@1, f2@1;
model indirect:
y ind f1 f2;
y via f1 f2 M;

Do I need to have both "ind" and "via" command ? I am envisioning direct effect of f1 , f2 on Y , and an indirect effect (of f1 and f2 ) via M on Y . Also I would like to get the Magnitude of M (mediator).
Greatly appreciate your input.
Regards,
Resmi Gupta
 Linda K. Muthen posted on Wednesday, April 06, 2011 - 1:31 pm
IND and VIA are used for different situations. See the user's guide for a full description. You don't need both.
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