CGIAR Science Program on Better Diets and Nutrition
Coding and analysis of qualitative data on the driver of food choice in Benin
Background
The International Food Policy Research Institute (IFPRI) implemented a qualitative study to understand the drivers of food choice among women, men, and adolescents in Benin, with a particular focus on fruit and vegetables. The study was conducted in December 2022. Data were collected in four areas using in-depth interviews, focus group discussions, and โshopalongsโ.
Activities
The collaborator will conduct transcript coding and thematic analysis of the qualitative data. Specifically, the collaborator will:
Code transcripts using qualitative software and develop the codebook.
Conduct content and thematic analysis and narrative review of codes.
Draft a slide deck with results from the thematic analysis.
Location
All work will be done remotely.
Level of effort
The level of effort for this activity is 25 days.
Deliverables
Coded transcripts
Narrative review of codes and thematic analysis
Slide deck
Required qualifications
Masterโs degree in social science, nutrition, public health, international development, public policy, economics, or other closely related field
Demonstrated experience with coding in Nvivo
Demonstrated written and spoken proficiency in French
Demonstrated ability to multi-task, consistently meet deadlines and manage time well
Demonstrated professional level of attention to detail and accuracy of work