I am conducting a path analysis that include estimation of indirect effects (i.e. mediation). For each indirect effect specified in the model (a1*b1), I have both a p-value and a 95% boostrapped CI.
I see that a similar question has been asked about t-tests but I am not sure what the take away is for my situation (p points to non-sig, CI suggests significant effect, not t-test).
standardized beta=.08, p=0.12, ci=0.003-0.16 (10000 bootstrapped CI)
(1) Is it possible to choose p-value vs. the CI? If so, what is the rationale? (citations/references would be appreciated)
(2) This occurs across several models I am running. Does this speak to a broader problem that I have failed to consider? All analyses completed in Lavaan package in R.