Hello! I am doing a moderation analysis using PROCESS MACRO in R. My interaction (moderation) is significant but the bootstrap is not. How can I interpret that? Thank you!
When interpreting the results of a moderation analysis using the PROCESS macro in R, it is important to consider both the significance of the interaction term and the bootstrap results. Here's how you can interpret the scenario where the interaction is significant, but the bootstrap is not:
Significance of the interaction term: A significant interaction suggests that the relationship between the independent variable and the dependent variable is influenced by the moderator. In other words, the effect of the independent variable on the dependent variable differs at different levels of the moderator. This finding indicates that there is evidence of moderation.
Non-significant bootstrap results: The bootstrap analysis is commonly used to estimate the confidence intervals and obtain more robust p-values for the indirect effects and the conditional effects (i.e., the moderation effect). If the bootstrap results are not significant, it means that the indirect effect or the conditional effect (moderation effect) is not significantly different from zero based on the bootstrap sampling. It suggests that there is no evidence for mediation or moderation in the specific pathways being examined.
In summary, when the interaction is significant, but the bootstrap results are not, it indicates that although there is evidence of moderation, the specific indirect effects or conditional effects being tested are not significantly different from zero based on the bootstrap analysis. This may suggest that the interaction effect is not strong enough to result in a significant indirect or conditional effect. However, it's important to consider the effect size and the context of your study to fully interpret the findings.
It's worth noting that it's always beneficial to carefully consider the specific details of your analysis and consult with a statistician or data analyst who can provide further guidance based on your specific research question and data.