Data analysis
REGRESSION
Intervention and control groups were first compared on social, maternal and child factors at baseline to assess efficacy of the randomization method in producing equivalent groups, using means and standard deviations for continuous variables and frequencies with corresponding percentages for categorical variables. Chi-squared tests (and Fisher tests for infrequent cell counts) were used to compare groups on categorical variables, whilst We ran intention-to-treat (ITT) analyses and included all participants who were enrolled in the RCT, even if they dropped out of the program. A series of complete-case linear mixed-effect models (LMM) using restricted maximum likelihood estimation were conducted in For measures that were only conducted at the post-intervention session, including the Balloons Task, a simple linear regression was run to compare performance between intervention and control groups. Conversely, for the DCCS and Diverse Beliefs tasks, given the dichotomous nature of scoring, logistic regression models were run.