This survey is the third round of questions Ground Truth Solutions has asked in Uganda; the first round took place in 2017 and the second in 2018. As in previous rounds, respondents to the current round of questions have been selected randomly, but the respondents themselves are different from those in previous rounds. When designing the sampling strategy for this survey, we used the most recent figures for populations of refugees from the UNHCR refugee portal. Based on this data, we decided to focus on South Sudanese and Congolese refugees, as they made up 92% of all the refugees in Uganda at the time. Refugees from Burundi, Somalia, Rwanda, Eritrea, Sudan, and Ethiopia each made up 0-3% of the overall refugee population and were excluded from this study. This is not to say that the perspectives of more marginal groups are not important, but rather that gathering these perspectives was simply beyond the scope of our research in view of the geographical and time constraints involved. In terms of the locations selected, we decided to include Adjumani, Bidibidi, Imvepi, Kiryandongo, Kyaka II, Kyangwali, Nakivale, Palorinya, Rhino, and Rwamwanja (and to exclude Kampala, Lobule, Oruchinga, and Palabek), as over 90% of South Sudanese and Congolese refugees reside in these refugee settlements, according to UNHCR's most recent figures.
The actual sample size achieved was 1,511 participants from 10 refugee settlements across Uganda, and the sample size in each settlement was proportional to the population size of the targeted communities within any given settlement. Using a confidence level of 95%, this sample size affords an expected margin of error of 3%.
Ground Truth Solutions co-led enumerator training and supervised data collection on the ground. Within each of the 10 selected settlements, we chose particular zones from which to collect data, and within these zones, we selected smaller village/cluster units. In selecting the zones, we grouped them into two or three tiers, depending on the population size within the given zones of the camp, and asked the data collection partner to select one zone from each tier in order to capture responses from differently sized areas. Within the zones, a GTS supervisor, in consultation with local leaders and actors on the ground, selected the villages/clusters based on several factors, such as when they were established, their distance from central points, and their population size.
