I was curious if there was some guidance on which boostrapping option to use in different circumstances for cinterval. Let's assume I am frequentist and thus am choosing between symmetric, bootstrap, and bcbootstrap.
I know bcboostrap is bias-corrected .... which I have often used for testing indirect effects (as those sampling distributions are not normal).
I am intrested in other things, such as regression slopes and differences in slopes in multigroup contexts (e.g., conditions of an experiment). Would the "standard" option be (bootstrap) as that does not force it into any specific format (e.g., symmetric, bias-corrected, etc.)?