Our team ran into an issue where we had some confusion as to whether it's appropriate to use AIC or BIC to compare sets of models with and without mediators. That is, in our first model(s) we only have X variables and Y variables. We then add mediators to the model and we are unsure if AIC or BIC can be used to make comparisons and test ideas of model parsimony (is the model substantially improved by adding mediators). Is this an appropriate use of these indices?



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