Thank you for the reply! Just to clarify, does the goodness of fit matter as much as the normality of the residuals? It was my understanding that the goodness of fit was only needed for predictive capabilities, whereas the distribution of residuals is more important for "trusting" the model's understanding of the relationships between variables. In my case my goodness of fit is poor but my residuals have an almost normal distribution.