Hi everyone,
I was wondering if it's OK to run a mediation analysis on conceptually related variables with Pearsons correlations of .44 (between X to Y) and .65 (between X to M) .61 (between X to Y)? OR would collinearity be an issue that violates this mediation analysis? I found a significant mediation (as the 95% CI did not contain 0) and want to say that X causes Y in the presence of M. But am worried that collinearity is an issue, and if it is not an issue how do i justify this to someone who doesn't understand mediation analysis? Thank you, would really appreciate an answer or advise on where to read more about this so I can justify my model.
I was wondering if it's OK to run a mediation analysis on conceptually related variables with Pearsons correlations of .44 (between X to Y) and .65 (between X to M) .61 (between X to Y)? OR would collinearity be an issue that violates this mediation analysis? I found a significant mediation (as the 95% CI did not contain 0) and want to say that X causes Y in the presence of M. But am worried that collinearity is an issue, and if it is not an issue how do i justify this to someone who doesn't understand mediation analysis? Thank you, would really appreciate an answer or advise on where to read more about this so I can justify my model.