This could indicate that although the individual indirect effects of the mediators are not significant on their own, when combined, they have a significant impact on the relationship between the independent and dependent variables. This suggests that the mediators may have a combined, synergistic effect on the relationship, even though their individual effects are not significant. It is important to further investigate and understand the mechanisms behind this total indirect effect it could be multiple factors with on being more prominent. Do all parties have the same cultural background?

In the context of a parallel mediation model with two mediators, finding a significant total indirect effect while both individual indirect effects are non-significant can indeed be puzzling. However, this phenomenon can arise due to several reasons, including the correlation between the mediators, the size and direction of the individual indirect effects, and statistical power.

Regarding the suggestion to repeat the analysis with only one mediator, this approach can help to understand the contribution of each mediator separately. If the total indirect effect becomes non-significant when considering each mediator individually, it suggests that the significant total indirect effect observed in the original model might indeed be a result of the interplay or correlation between the two mediators. However, if one or both individual mediators show a significant total indirect effect when analyzed separately, it indicates that other factors (like statistical power or the direction and size of the effects) might be contributing to the initial findings.