Hi lavaan group,
I was wondering if `lavaan` or `semTools` has created a function for automating bootstrapped confidence intervals for the standardized solution from SEM models estimated using `lavaan`. I noticed the standardizedSolution() function does not have a `boot.ci.type` argument like the parameterEstimates() function does. The standardizedSolution() help page does not mention bootstrapped confidence intervals and says if the `ci` argument is TRUE, that "simple symmetric confidence intervals are added to the output". Thus, while the standardizedSolution() function can provide confidence intervals of the standardized solution, I assume this means it can not provide bootstrapped confidence intervals.
I noticed there is a post from 2014 that shows a way to do this using the bootstrapLavaan() function: https://groups.google.com/g/lavaan/c/pIXy7NUa3c0/m/hVPH3zClaYcJ
. However, it has been 7 years since then and I was wondering if lavaan, semTools, or any other R package has created a function for automating the calculation of bootstrapped confidence intervals of the standardized solution?
If not, I guess you could treat this post as a feature request. I think this would be of interest to a lot of users as social science researchers are more and more interested in having 1) more interpretable (e.g., standardized) effect sizes, 2) confidence intervals around those effect sizes, 3) robust versions (e.g., bootstrapping) of such confidence intervals.