Attachment | Size |
---|---|
Variables included in script (2/2) [6] | 1.81 MB |
Variables included in script (1/2) [7] | 1.92 MB |
SEM model [8] | 4.79 KB |
CFA model [9] | 4.3 KB |
Dataset [10] | 946.63 KB |
I am having trouble fitting a SEM with three latent variables with the following specification: An endogenous latent variable, created from four continuous manifest indicator variables, is regressed on two exogenous latent variables created from multiple ordinal manifest indicator variables. Prior to creating the SEM model I ran a CFA model, with similar specification, but where the three latent variables covary. I used the resulting factor loading values as a starting point for the SEM model.
However, while the CFA model will return a solution after about 30 min (albeit with warnings), the SEM model, does not return a solution. I let the model run for two days before I killed the process.
First of all, is this expected behaviour of OpenMx, or is something wrong with my model causing the kernel to hang? I would have assumed that even if the model does not converge, the process will be interrupted after a some number of iterations.
This lead me to wonder what may be wrong with my model specification? Some pointers on how can I improve my model would be much appreciated.