Longitudinal SEM and Latent Growth Curves

Hello -

Hello all,

I attended the workshop back in March, and am trying to estimate a longitudinal model. I have been working with the script provided at the training, but have modified it slightly because I am not interested looking at sex effects at this point. When I run the script, it appears as though it is running but when I look at the fit statistics this is what I get: EP = 0, -2LL = , df = 0, AIC = .

Could someone please take a look at my script and see where I have gone wrong? Thanks for any help!

Jamie

Hi all,
I'm getting the following error when after running a latent growth curve with ordinal data and sex definition variables I ask for the summary output:

> lgcOrdACESumm <- summary(lgcOrdACEFit)
Error in omxConvertLabel(refNames[j], modelname, dataname, namespace) :
trying to get slot "name" from an object of a basic class ("NULL") with no slots

Cheers,

Nathan

Hi all,
I'm fitting a latent growth curve model to 3 measures of raw continuous personality data. The model includes means on the latent intercept and slope factors to which I'm adding each twin's sex as a definition variable. When running the model I get the following error:

Error in all.na(labels) : object 'data.sex_1' not found
+
>
> lgc2ACEFit <- mxRun(lgc2ACEModel) # Run Latent Growth Curive ACE model
Error in cat("Running", model@name, "\n") :
object 'lgc2ACEModel' not found

Any suggestions?