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Resmi Gupta posted on Tuesday, April 05, 2011  1:52 pm



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 


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  3:42 pm



Thanks very much Dr. Muthen. Regards, Resmi Gupta 

Resmi Gupta posted on Wednesday, April 06, 2011  6:10 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 


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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