Model fit was evaluated using the –2 × loglikelihood (-2LL) and several information theoretic indices that balance overall fit with model parsimony including Akaike's Information Criterion (AIC)58, the Bayesian Information Criterion (BIC)59, the sample size adjusted Bayesian Information Criterion (BICadj)60,61, and the Deviance Information Criterion (DIC)62. The full G × E moderation model was compared to the no moderation model via the likelihood ratio test, which yields a χ2 statistic. If the full moderation model provided a better fit to the data, further model trimming analyses were conducted to identify the most parsimonious model, retaining only the significant moderation effects. The best fitting model was judged to be the model that yielded lower values for at least 3 of the 4 information theoretic indices relative to the full model.
