Data Triangulation Strategies to Design a Representative Household Survey of Hosts and Rohingya Displaced in Cox’s Bazar, Bangladesh
Obtaining representative information on hosts and displaced populations in a single survey is not straightforward. This paper demonstrates the value of combining traditional and nontraditional sampling frames, geospatial information, and listing ex...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Working Paper |
| Language: | English |
| Published: |
Washington, DC: World Bank
2022
|
| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/099243405112254626/IDU04a159b8401b6704aa30bfb900faf58536d65 http://hdl.handle.net/10986/37432 |
| Summary: | Obtaining representative information
on hosts and displaced populations in a single survey is not
straightforward. This paper demonstrates the value of
combining traditional and nontraditional sampling frames,
geospatial information, and listing exercises to design a
representative survey of hosts and Rohingya displaced
populations in Cox’s Bazar, Bangladesh. The paper applies
innovative segmentation techniques using geospatial data to
delimit enumeration areas in the absence of updated
cartography. The paper also highlights the importance of
listing exercises to inform stratification decisions and
update population counts. |
|---|