We are just beginning to work with OpenMx to study behavior in relation to genetic and environmental components in twins. In our dataset we have a fairly large number of missing values (checks showed they are missing at random). Normally we would opt for multiple imputation in SPSS and run our analyses on the separate imputed datasets, while also presenting a pooled analyses. But because of the behavioral genetics component, we want to use OpenMx for our analyses.
I read elsewhere on this Forum a very brief mention of reading in multiple files and running the same mxModel on each, but does OpenMx also provide any possibility of running a pooled analysis of all the separate imputed datasets?
Thanks in advance!