(A) shows the difference in predicted probabilities of past-month marijuana use, and binge drinking, when the 10th and 90th percentile IDEA scores are included in computations holding covariates at their mean values. The difference represents the effect of differences in each IDEA subscale on past-month marijuana use, and binge drinking, given the empirical estimates of the logistic regression. An overlapping confidence interval with zero indicates a null result with alpha= .05; and (B) shows the change in predicted probability of past-month marijuana use and binge drinking, with 95% confidence intervals. An overlapping confidence interval with zero indicates a null result with alpha= .002. Estimates were calculated by simulating the first difference in the transition e.g., had a baby from 0 to 1. Each estimate was arrived by the use of 1000 randomly drawn sets of estimates from each respective coefficient covariance matrix with control variables held at their mean values.