depends, as we have shown, on the nature of the correlation between T and M, on the nature of the correlation between M1 and M2, and on the absence or presence of moderation of the covariance between M and T. Re-analysis of these data using the full bivariate moderation model, or the extended univariate moderation model if the presence of moderation of the covariance has been excluded, is advised. Overall, we conclude that researchers should use the full bivariate moderation model to study the presence of moderation on the covariance between M and T. If such moderation can be ruled out, subsequent use of the extended univariate moderation model is recommended as this model is more powerful than the full bivariate moderation model.
