OpenMx General Help

I'm running OpenMx 1.0.2 on Ubuntu 10.04. OpenMx shows the degrees of freedom differently for using raw data than for using the covariance matrix (and means vector). The model has one factor with 6 indicators and 9 parameters are being estimated (some parameters are constrained to equal other parameters).

Here is the output for the raw data:

observed statistics: 120
estimated parameters: 9
degrees of freedom: 111
-2 log likelihood: 894.0595
saturated -2 log likelihood: NA
number of observations: 20
chi-square: NA
p: NA
AIC (Mx): 672.0595
BIC (Mx): 280.7666

Is it possible to obtain fit statistics such as CFI, RMSEA, etc. with FIML? The model I'm currently running does not output the desired fit indices (see below). After reading some of the threads, it appears that I would need to use FIML estimation to fit a saturated model, and then compare the predicted model to the saturated model. Is that correct? Could someone explain a little more how to do that? Sorry, I'm new to OpenMx. Thanks so much for your help, and I love the program so far!

Here's the output from my model:
observed statistics: 276
estimated parameters: 23

Hello all,

I am fitting some variance known models (akin to meta-analysis). To handle models with possible covariates, I use a RAM model. The results based on 0.5.2 are comparable to those based on other statistical packages. After upgraded to 0.9.0, the results look odd.

The followings are an example. The -2LL of the 0.5.2 and 0.9.0 versions are 27.79916 and 29.02565, respectively. Any suggestions are highly appreciated. Thanks.

Regards,
Mike

yi <- c(-0.264,-0.230,0.166,0.173,0.225,0.291,0.309,0.435,0.476,0.617,0.651,0.718,0.740,0.745,0.758,0.922,0.938,0.962,1.522,1.844)

Dear all:
I'm a new learner of OpenMX and R , I want to use it to do simple SEM analysis, but I can't find the estimator information in OpenMxUserGuide. please tell me how can I find and how can I understand the estimator in OpenMx .

I'm posting a link to a comment from one of the news updates, because those comments appear without a listing in the "Recent Threads" panel on the right-hand side of the page.

http://openmx.psyc.virginia.edu/2010/08/openmx-050

I have been running some models that decompose multi-wave data into a stable trait component, an autoregressive trait component, and a state component. I have eight waves, with three indicators at each wave, 600 observations, and I'm using raw data (and there are missing data). With the data I have, these models (and some variants) can take a little while to run. But I've noticed that they actually run considerably slower with version .5.0 than with .3.0 (I hadn't upgraded until .5.0 came out).