Call for Proposals for "Picture Based Advisories (PBA) at International Food Policy Research Institute (IFPRI)

STATEMENT OF WORK
The selected firm will be responsible for coordinating and conducting a face-to-face quantitative survey among farming households in several counties in Kenya ( from among Kisumu, Kajiado , Turkana, and/or Vihiga ). The quantitative survey will consist of in-person interviews with men and women farmers (lasting 90–120 minutes), conducted via computer -assisted personal interviewing (CAPI), with about 1 , 000 households , and all data should be collected by November 30, 2022 . IFPRI will be solely responsible for the design on the quantitative survey instrument and selection of exact study locations.  T he work is to be implemented in synergy with the Nature+ Kenya country coordination team .  

1. The activities of the survey implementer are detailed as follows: 
2. Translate survey instrument and interview guide into local languages (as needed). 
3. Obtain ethics clearance , research permit s , and /or other local approvals 
4. Obtain enough tablets for CAPI data collection. 
5. Develop, test, and finalize the CAPI data entry program that will be used to conduct the interviews in the field. 
6. With assistance from the IFPRI, prepare the field implementation manual prior to enumerator training. The field manual will be the basis for quality assurance of the data collection process. 
7. Organize the selection, hiring, and payment of enumerators to conduct the required data collection work. This will include hiring both male and female interviewers with the necessary language skills to ensure respondents for the individual interviews are matched on sex.  
8. Facilitate and ensure the smooth operation of the enumerator training and survey pretest in collaboration with IFPRI staff. IFPRI and the s elected firm will jointly consider the COVID-19 implications of whether IFPRI staff conducting the training will do so in-person o r virtually. It is expected that there will be a 5-day training, followed by a 2-day pretest and debrief , for the quantitative survey. 
9. Develop and implement a field schedule for the quantitative data collection team s and community surveys, and provide regular status updates during fieldwork . 
10. Develop spot- and back-check protocols and share these with IFPRI for feedback prior to the start of data collection. 
11. Participate in weekly meetings with IFPRI throughout data collection.  
12. Share the data generated from the spot and back-checks and additional data collection concerns with IFPRI in a timely manner so that issues can be promptly resolved. 
13. Share the data generated from CAPI (in Stata format) with IFPRI during data collection, as and when the data is uploaded to the servers. These data will not be the cleaned data sets (except for variable and value labels, checking and correcting skip patterns, formatting the data in long format as required) , but the raw data sets as sent to the firm from their survey teams. 
14. Conduct data cleaning to ensure consistency and range-checks; share the error check do-files with IFPRI. 
15. Provide responses to queries from IFPRI in relation to data cleaning (as needed). 
16. Deliver cleaned data sets (in Stata format) from the 1 , 000 household s in long format . The dataset should include translation of any open-ended questions from local languages to English if necessary.  
17. Provide a brief report covering quantitative survey fieldwork , as well as any issues related to data management and cleaning. 

PERIOD OF PERFORMANCE: July 31 , 202 2 to January 3 1 , 202 3 . 

REQUIRED QUALIFICATIONS:

• Demonstrated experience conducting quantitative survey fieldwork in Kenya within the past 5 years. 
• Demonstrated experience conducting survey-related trainings . 
• Expert knowledge of local context and languages in the target areas. 
• Experience in building trust and good relations with village leaders, interviewees , and communities. 
• Strong program management skills . 
• Demonstrated experience in successfully coordinating large field teams and managing deliverables. 
• Excellent computer skills and experience using CAPI and statistical software packages . 
• Demonstrated experience with obtaining appropriate local ethics review and permits