Hi all,

Can I ask you a general question about OpenMx? As a teacher of SEM classes and as a supervisor of graduate students doing research in social psychology I am looking for a R-based SEM package that allows me to generate quite easily (with a relatively simple script) different pieces of information that my colleagues, the reviewers of my manuscripts, and I use to evaluate structural models. The check list that I typically give my students is pasted below. Unless I am mistaken, OpenMx does not allow me to easily obtain the relevant information (except (1), (2), (7), (9) and (12)). If I understand, you (the developers of OpenMx) are mostly interested in advanced features, such as parallel runs, simulations, bootstrap, etc. Does this mean I should use a different package in the future? If yes, do you know of a package that allows me to get the information listed below?

Thanks a million in advance.

-- M

Criteria to evaluate a hypothesized structural model:

1) Is chi-square non-significant?

2) Is RMSEA
3) Is the lower bound of the 90% CI of the RMSEA
4) Is the upper bound of the 90% CI of the RMSEA
5) Is p close non-significant ? [Note: p close tests the null hypothesis that RMSEA in the population is
6) Is the SRMR
7) Is the CFI > .95 ?

8) Are other classic fit indices satisfactory (GFI, TLI, etc.)?

9) Are all correlation residuals
10) Are all standardized residuals
11) Does the quantile plot of standardized residuals look OK (do the standardized residuals fall along a diagonal line)?

12) Are the parameter estimates OK: do they make sense? are they significant?

13) Are indirect effects statistically significant? [test with bootstrap method]

14) Do we have sufficient statistical power for the test of the close-fit hypothesis and the test of the not-close-fit hypothesis? [generate script with Preacher's web site]

15) Can we argue against equivalent and near-equivalent models?

Model comparison:

16) Is the difference chi-square significant?

17) Does one of the models have a lower AIC, BIC?