Ethiopia - Results Monitoring Survey, IDP - 2022

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Source UNHCR
Contributor
Time Period of the Dataset [?] July 28, 2022-August 13, 2022 ... More
Modified [?] 15 December 2022
Dataset Added on HDX [?] 28 July 2024 Less
Expected Update Frequency Never
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Methodology

Kind of Data: Sample survey data [ssd]
Unit of Analysis: All IDP in Amhara, Oromia, SNNP and Somali
Sampling Procedure: Two approaches were used for the IDP survey: 1) the sample frame (SF)-based approach and 2) the respondent-driven sampling (RDS) approach.

The SF-based survey was conducted in half of the IDP sample clusters (12 clusters). The SF-based survey was conducted by randomly selecting 30 households from each randomly selected cluster for the interview. Random selection of 30 IDP households was done once the IDP household listing was conducted by GPS in the selected clusters. The listing exercise involved GPS visiting the 13 selected clusters and working with local focal points to acquire and review the list of all IDP households at the cluster level. 30 households per cluster were selected for the interview. If any cluster was too large and the IDP households were too scattered, households were randomly selected from the smaller cluster.

The RDS-based approach was used in half of the IDP clusters. RDS is typically applied in contexts where a sampling frame is not available or is unreliable and when it is not possible to randomly select a sample representing the entire population of interest. This method combines 'snowball sampling' (getting individuals to refer those they know, who in turn refer those they know, and so on) with a mathematical model that weights the sample to compensate for the fact that the sample was collected in a non-random way.
Data Collection Mode: Computer Assisted Telephone Interview [cati]

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