A series of sub-models examining the statistical significance of A, C, and E were compared to the full model to derive the best-fitting quadrivariate model. Sub-models were tested by calculating the difference between the -2 log likelihood fit of the full model and nested sub-model, which is distributed as chi-square for the given degrees of freedom.
