Multi-group and bias corrected bootst... PreviousNext
Mplus Discussion > Structural Equation Modeling >
 Scott R. Colwell posted on Friday, March 10, 2006 - 8:01 am
Hello: I have a multigroup SEM model that has x->y which is partially mediated by two variables M1 and M2 such that x->y and x->M1->y and x->M2->y.

The grouping variable is dichotomous 0 = low and 1 = high. I am using type=complex as it is a complex sample design.

I would like to estimate the bias corrected bootstrapped SE, but you can't do that with type = complex. Is there a work around for this? For example if I were to create a phantom variable and fix its path (to x) to be the product of the x->m->y paths, then remove type = complex, would I get reliable bias-corrected SE for the phantom variable path since its fixed or would removing the type=complex create unreliable coefficients.
 Linda K. Muthen posted on Friday, March 10, 2006 - 9:53 am
I don't see how the phantom variable approach would correct for nonindependence of observations due to clustering but perhaps I am missing something.
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