Hello,
I have been trying to figure out the "parametric bootstrap" when ‘boot=TRUE’. I read the document for mxCompare as well as studying its source code. However, I would appreciate if you could answer the following questions:
1- Does mxCompare generate data from both fitted base and comparison models, fit the base comparison models, calculated LRT, and compute p-values?
2- According to the document for mxComparison,
The Monte Carlo SE of a proportion for B replications is √(p*(1-p)/B), but this will be zero if p is zero, which is nonsense. Note that a parametric-bootstrap p-value of zero must be interpreted as p < 1/B, which, depending on B and the desired Type I error rate, may not be "statistically significant."
I am not sure if I understand the part about the p-value < 1/B. Any reference or clarification is appreciated.
Thanks,
Davood