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 < .05 ?
3) Is the lower bound of the 90% CI of the RMSEA < .01 ?
4) Is the upper bound of the 90% CI of the RMSEA < .10 ?
5) Is p close non-significant ? [Note: p close tests the null hypothesis that RMSEA in the population is < .05]
6) Is the SRMR < .08 ?
7) Is the CFI > .95 ?
8) Are other classic fit indices satisfactory (GFI, TLI, etc.)?
9) Are all correlation residuals < .10 ?
10) Are all standardized residuals < 1.96 ? [less important in large samples]
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?