Sample size determination and sampling technique
We used a single proportion formula with a 95 percent confidence interval, 5% margin of error, and with assumption of 50% proportion to calculate required samples. Then multiplied by 2 (design effects), and finally a 10% non-response rate was added.
n= \(\frac{Z\propto^{2\ }p(1-p)}{d^{2}}\) = n=\(\frac{\left(1.96\right)^{2\ }0.5\left(1-0.5\right)}{{0.05}^{2}}\)=384, 384 x 2 = 768, by adding 10% (77) \(\approx 845\)
The study participants were divided into two groups based on where they lived (urban and rural). Our source population was the whole population of Harar. Our study unit consisted of all participants that were randomly chosen from each stratum. During the data collection period, study participants who volunteered to engage in the study were included. Those who did not want to participate in the study were excluded from the study.