Dr. Johanna Choumert Nkolo, Henry Cust, Marie Mallet, Callum Taylor, Linda Terenzi

Collecting high quality data in developing countries is a crucial challenge for monitoring and assessing development policies. The increasing use of electronic surveys for data collection in recent years has led to a significant reduction in measurement errors and an improvement in the quality of data collected through surveys. In this paper, we provide a tool to randomly select respondents when reaching a household in the context of random walk sampling. We then provide an example using an 800-household survey we conducted in Tanzania. Our results show increased representativeness of sampled respondents within households.

In future blog posts, we will share alternative ways to randomly select respondents.