Census and survey processing system version 7.0

Data were entered and analyzed using Census and Survey Processing system (version 7.0) and IBM Statistical Package for Social Sciences (version 22), respectively. All descriptive statistics, mean, median, percentages and frequencies were computed as appropriate. Bivariate relationship between the dependent variables (knowledge, attitude, and self-efficacy) and socio-demographic and background characteristics was performed using independent samples t-test. Moreover, bivariate correlation with age and work experience was computed using Pearson’s correlation coefficient. Independent variables that were significantly correlated with the dependent variables were retained for multiple linear regressions. Linearity and multi-collinearity of the variables was assessed prior to the multiple linear regression. P-value less than 0.05 was considered as statistically significant.

Data were double entered in Census and Survey Processing System (version 7.0) and analyzed using IBM Statistical Package for Social Sciences ^® (version 22). Descriptive summaries of the socio-demographic variables were computed using mean (SD) or median (IQR) as appropriate. Furthermore, factors that were related to child marriage were identified using bivariate logistic regression. Odds ratio (OR) with 95% confidence interval was reported in all logistic regression analyses. All analyses were considered significant when p<0.05.