In my recent question to Andrew Hayes on testing the indirect effect with the following model with Cs are control variables, Xs are the antecedents, M is the mediator and Y is the outcome.
MODEL: Y ON M; M ON C1 C2 C3 X1 X2 X3 X4;
MODEL INDIRECT: Y IND M X1; Y IND M X2; Y IND M X3; Y IND M X4;
This is what Andrew's response and I quote "In this model, your indirect effects would be biased. You should never estimate indirect effects without the corresponding direct effects also in the model. If you do so, then your indirect effects will include both indirect and direct components, as per standard tracing rules."
I notice that your example 3.16 is similar to mine and you did not include the direct path from x1 to y3 (i.e., y3 on x1)
MODEL: y1 y2 ON x1 x2 x3; y3 ON y1 y2 x2;
MODEL INDIRECT: y3 IND y1 x1; y3 IND y2 x1;
I'd appreciate your take on Andrew's response and my model. Thanks.
Typically, you want to allow for all direct effects in the model, particularly if you have little prior knowledge so that you can study what's indirect and what's direct. But in some other cases you may want to test a theory that some direct effects are zero - that is what is done in UG ex 3.16.
I apologize that I posted the same question in another post. I think this question may be relevant on this thread.
I have a question regarding the Model Indirect command. I have a mediation model (X -> M -> Y). To test my partial mediation hypothesis, I have performed the following tests:
Model 1: y on x; Model 2: y on m; m on x; Model 3: y on m x; m on x;
First, to test indirect effects, (i.e., effect of x on y through m), should I include it in the model command, or just in the model indirect command? Also, if the fit of my model decreases when I include the partial mediation link, but the indirect effect is significant, what would that imply? Thank you for your assistance!
You should use Model 3 (only). Then you can see which effects are significant. And use Model Indirect to study the indirect effect.
Jordan posted on Monday, April 15, 2019 - 10:30 am
I am wondering what the default option is when estimating indirect effects with Model Indirect. That is, do I need to specifically ask for bias-corrected confidence intervals? Or are the default confidence intervals (i.e., those reported when using the "cinterval" command) already bias-corrected by default?
So, I can obtain confidence intervals without inputting a bootstrap command, and I am wondering what kind of intervals are reported in that default case.