Data Analysis
Preliminary analyses included descriptive analyses regarding COVID-19 impacts, as well parental engagement with components of the FCU-O. Hypothesis-testing analyses of intervention effects were tested with regression-based ANCOVAs, with Time 2 outcomes regressed on a binary treatment-status variable (0 = wait-list control; 1 = FCU-O), while controlling for Time 1 scores on the outcome variable. This approach provides powerful unbiased estimates of intervention effects (O’Connell et al., We also examined child gender (0 = male/other; 1 = female) and racial/ethnic minority status (0 = European American; 1 = racial/ethnic minority) as moderators of intervention effects. Moderation models included main effects of treatment assignment, moderator, and T1 scores for outcome, and the treatment by moderator interaction. A priori power analyses indicated that the study had 80% power for a Minimum Detectable Effect Size Difference across subgroups of d ≥ 0.48, a medium difference in effects.