Consideration of several selection criteria suggested that a 2-class solution fit the externalizing data best. As shown in Table 2, there was a significant decrease in both Bayesian information criterion (20 203.81 to 20 154.60) and Akaike information criterion (20 146.50 to 20 085.01) between a single class and the 2-class solution. Likewise, the likelihood ratio test comparing the fit of 1 vs 2 trajectories favored the 2-class solution (P<.001). In relation to the addition of a third distinct pattern of externalizing behavior, the Bayesian information criterion failed to decrease (20 159.52), the overall quality of classification was reduced (entropy went from 0.83 to 0.80), and though Akaike information criterion did decrease, the magnitude of the change between coefficients for the 2- and 3-class solutions was much smaller than corresponding to the previous increment. In addition, the Lo-Mendel-Rubin likelihood ratio test indicated that the addition of a third class would not result in significant improvement in model fit (P=.52). The Figure depicts these 2 GMM-estimated externalizing trajectories. Most of the sample displayed a developmentally limited pattern of externalizing behavior (83.1%),
