The covariates that predicted engagement in the FCU at all three, at two, and at least one time point were assessed using a logistic regression framework in the respective CACE analysis. All analyses used full information maximum likelihood to account for missing data, assuming that data are missing at random conditional on observed information, including baseline covariates and observed engagement status within the intervention condition (Jo, 2008). These analyses predicting the engagement classes included the full sample of participants. The results of the comparison of the most stringently defined engagement group (i.e., engagement in all three FCUs) and nonengagers (see Table 2) suggest that higher levels of caregiver depression, having a female target child, being above the poverty line, and the primary caregiver’s age at the target child’s birth predicted engagement.
