I have a set of 4 correlated continuous variables that I have observed, and also a fifth binary observed variable that has an effect on 2 of the 4 continuous variables.
I want to test the hypothesis that a single latent factor plus the fifth binary observed variable are together sufficient to explain the covariance matrix for the 4 correlated continuous variables.
How can I test this in OpenMx ?
Also, what category does this fall under (so I can google for it or look it up in textbooks) ? Is there a place where I could read up on this (ideally with examples from OpenMx, or LISREL or AMOS) ?
Thanks much !!!!!!!!