2.4. Data Analysis
Because this is a pilot study aimed at testing the feasibility, acceptance, and preliminary efficacy, a power analysis was not conducted. Since this pilot RCT has a limited sample size, analyses were intended to be exploratory, and we set α = 0.05 (two-sided). Descriptive statistics (means and standard deviations, or medians and interquartile ranges if skewed) were reported for quantitative demographic and outcome variables. Frequencies and percentages were reported for categorical variables. T, chi-square, or analysis of variance (ANOVA) tests were used to compare differences between the intervention and control group at baseline. We used mixed effects models to estimate the effect of intervention vs. control from before/after treatment (linear for continuous outcomes; logistic for binary, e.g., yes to 5 servings of fruit and vegetables). Because the sample size was small, we used the nonparametric bootstrap with 5000 draws to obtain bias-corrected confidence intervals and evaluated significance [