I've tried running a simple CFA in OpenMx, using the tutorials and adapting an example, but the results are not what I expected. Specifically, I get no fit indices (e.g., RMSEA, chi-square, etc.). It certainly may be due to my data or my too-simplistic model or something. Any help in either (a) understanding why I get the results I do, or (b) helping me figure out how to get the results I am more accustomed to, would be greatly appreciated.
I'm neither a wiz at stats nor at R, but I try to keep my head above water in both areas. I'm more comfortable with visual diagrams than with matrices, but given enough time I can usually figure out the latter.
I am running R 2.11.0 as a 32-bit application on a Windows-7 64-bit machine. My model involves one latent variable, "sexDev," and three manifest variables, "devAtt_txf", "devInt_txf", and "devBx_txf". The latter are summed results of questionnaire items (likert/ordinal and count/ratio) asking about deviant sexual attitudes, intentions, and behaviors, respectively. They have all been Box-Cox transformed because they were highly nonnormal. There is missing data in the raw data frame; I plan to use FIML later, but first I wanted to see if I could get the code to run properly without it (perhaps this is my mistake?)
My syntax is attached. Any suggestions or observations are appreciated.