I'm new to SEM and OpenMx, but I've been working on replicating models from a paper in which my advisor was involved. I've managed to do so successfully with most of the models in the paper, but two are puzzling me. They are the only two involving endogenous latent variables (the others being measurement models), so I assume this has something to do with it.
To focus on one model, it contains 19 manifest variables and 4 latent variables. Manifest variables 1-6 load onto latent variable 1, 7-11 load onto latent 2, 15-19 load onto latent 3, and 7-19 all load onto latent 4. Finally, unidirectional arrows run from latent 1 to latents 2-4. I have tried formulating this model in several ways, but none yield the correct standardized path coefficients. (The loadings onto latent 1 are correct, however - again leading me to focus on the endogenous latent variables.) I was able to model the data correctly in AMOS, so it should be possible... My only thought at this point is that I'm standardizing using the wrong term (e.g. confusing the error/disturbance term with the variances of endogenous latent variables, since the method for specifying these is the same), but if so I'm not sure where to find the correct term.
None of the examples in the documentation covered endogenous latent variables, so I would appreciate any advice you can give me. I've been using the path specification method, so I would a solution in that form would be great, if possible.