SMU Data Science Review
Abstract
In this paper, we present an analysis of survey data with the goal of determining if the KadAfrica training program, a social organization in Uganda, has a significant effect on the lives of the girls who participate in the program. This is done through an observational study of girl’s responses to several pre-program and post-program questions. These questions include topics such as the girl’s access to hygiene materials and their personal views on family finances. In addition to providing an analysis of historical data, we established a data platform in which future data can be stored and analyzed in an effective manner. In this study we provided statistical analysis of several survey questions for KadAfrica. Finally, we provided KadAfrica with a RShiny dashboard application whereby they may conduct their own future analyses. Based on the results of the questions we analyzed, we conclude that KadAfrica is having a positive impact on the lives of the participants.
Recommended Citation
Asamoah, Gregory; Gill, Robert; Sclafani, Frank; and Sadler, Bivin
(2019)
"KadAfrica: Survey Analysis to Support Research for Smallholder Farmers,"
SMU Data Science Review: Vol. 2:
No.
1, Article 15.
Available at:
https://scholar.smu.edu/datasciencereview/vol2/iss1/15
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
