OpenSEM Forums

Hi!
I'm new to twin data analysis and would like to get help on how to adjust for covariates in sex-lim ACE model. I tried to modify the script twinHet5AceCon.R by adding Age（continuous variable） and Region（binary variable）as covariates in the mean structure of the genetic model but I keep getting an error： Unknown reference 'meanGf' detected in the entity 'expMeanGf' in model 'MZf'.
I guess I may did something wrong somewhere near "expMeanGfmCo <- mxAlgebra( expression= meanGfm +Betaall %*% meanGfmCo , name="expMeanGfm" ) ".

Hello!

I have a very general question that I would like to seek some help with. I know that the direct\indirect impacts for each variable in the model can be computed using a multiplication rule. However, this gives us the importance of the variable and not the path. How can I understand the importance of the path, should I simply add the co-efficients?

I would really appreciate a quick revert!

Thanks,
Vaibhav

Hello!

I have a very general question regarding Covariance based SEMs. I have a full SEM model (with latent variables) and my client is wondering how a change in one attribute for one of the factors could affect the end dependent variable. Are standard SEM methodologies capable of answering this question? If so, how should I approach it?

A quick revert will be really helpful! Thanks!

I'd like to obtain unstandardized factor scores for a single factor CFA, with the factor scores on the same metric (approximately the same mean, SD, range, distribution) as the indicators. There is missingness in the data, so ML factor scores are preferred. How can I do this in OpenMX? I read Appendix A from Estabrook and Neale's (2013) paper on estimating ML factor scores in OpenMx:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3773873/

Hello Everyone, Please HELP

I am trying to test CFA with AMOS and I have some error messages that I couldn't understand.

I parceled the items in some scales but I recieve messages such as (Probability level cannot be computed)
OR

The model is probably unidentified. In order to achieve identifiability, it will probably be necessary to impose 1 additional constraint.

Anyone has any idea why the models didn't run? if you need more info please let me know

Thank you so much
Tamara

In a ACE bivariate Cholesky, any ideas why confidence intervals for a shared environmental correlation would be returned as (-1.00, 1.00)? My syntax is included below. The model converged without any errors.