for Poverty Action (IPA) discovers and promotes effective solutions to global
poverty problems. IPA designs, rigorously evaluates, and refines these
solutions and their applications together with decision-makers to ensure that
the evidence created is used to improve opportunities for the world’s poor.
Since our founding in 2002, IPA has worked with over 350 leading academics to
conduct over 450 evaluations in 51 countries. This research has informed
hundreds of successful programs that now impact millions of individuals
worldwide.
primary objective of this study is to evaluate the impact of the Living
Goods/BRAC Entrepreneurial Community Health Promotor (CHP) program as it is
being scaled up in 13 districts in Uganda. The CHP model tries to improve on
the existing government Community Health Worker model in Uganda with financial
incentives, supervision, training, and a reliable product supply chain of
community health workers to improve child and maternal health. Specific
indicators being studied include child morbidity (diarrhea, pneumonia, and
malaria); child mortality; health-related knowledge, attitudes, and behaviors
(especially around pregnancy); and interactions with community health workers
and health systems. The evaluation relies on a Randomized Controlled Trial
(RCT) methodology, in which the sample villages are randomly divided into treatment
villages where a CHP is operating and comparison villages where no CHP is
active.
first-hand experience managing the data cleaning and preliminary analysis of a
large baseline dataset in an organization undertaking cutting-edge development
research. The student volunteer will work closely with the Senior Research
Associate and assist in data cleaning and basic analysis of four large datasets
(a household survey, a survey with existing community health workers,
anthropometric measurements of children < 5 years, and a pneumonia/malaria
drug quality survey).
- The ideal candidate should preferably hold a
Bachelor’s degree in economics, social sciences, public policy, public
health or related fields. Possession of a Master’s degree is preferred - Advanced STATA skills required
- Advanced Microsoft Excel skills required
- Previous experience with data cleaning and
basic analysis - Flexible, self-motivating, able to manage
multiple tasks efficiently and a team player - Fluency and excellent communication skills in
English - Familiarity with randomized controlled trials
is preferred - Previous experience living in a developing
country is an added advantage
interview and a STATA skills test.
suitably qualified and interested candidates should send an updated CV and a
cover letter to Eva Noble, [email protected], and copy [email protected]
exactly the following position line: ‘IPA Uganda – LG Internship’
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