https://www.youtube.com/watch?v=nIyZ3fO4sik

Thank you! This is a very good video.

However, it does not include covariates and their interpretation, so I still haven't really found an answer to my question.

Kind regards,

Helena

Hi Helena,

This statistic specifically indicates that age (your covariate) is significantly related to BMI (your DV) while controlling for the IV (decision-making) and the mediator (EES Score).

In regards to interpreting the results of this statistic in your entire mediation analysis – I would first clarify that age was used as a covariate (w/ relevant statistics reported), and then dive into your mediation analysis to test your hypothesis. This method allows your reader to know what you are controlling for when interpreting your mediation analysis.

I hope this helps get you started.

Best,

Joseph

Hi Joseph,

Thanks a lot for your high-quality answer. In another forum it was suggested that age does NOT have a significant influence on BMI, although judging by the output I would definitely agree with your answer.

There is, however, another point that confuses me. By looking at the PROCESS output the age does not significantly predict the mediator variable (EES score; p= 0.0596).

When I, however, perform a Pearson correlation in SPSS, the effects between covariate (age) and M (moderator variable; EES Score) are significant.

I know that correlation is substantially different from regression but I still do not see why it's not significant in the PROCESS output?

Although your answer has helped me a lot, I still don't get how to interpret the results. I would say that after controlling for age, decision making ability still does not have a director influence on BMI or an indirect effect through the mediator variable.

But I am just so unsure.

I know I have a lot of questions but I don't want to write a wrong conclusion after putting in so much effort into everything.

Kind regards,

Helena