Hello, I have a path model with 2 consecutive mediators. So I have such a partially mediated model: X->M1->M2->Y When I look at model results, Y is not significantly predicted by X, M1, or M2. But when I look at indirect effects with 95% CI intervals, it seems like the indirect paths of X->M1->Y and X->M1->M2->Y are significant. What may be the reason? Should I assume that the mediation is significant even though the mediators do not predict the outcome variable? Thanks
Hello, thanks for the answer. The fit of the model is good. So when I look at bootstrapped results for the direct effects, it seems like I have a significant path from the mediator to the outcome. Is it ok to report the CI for the significance of direct effects? When I look at papers, I usually see point estimates and significance level for direct effects, and CI's used for the indirect effects.