Interviewer Design Effects in Household Surveys: Evidence from Sudan
Interviewer design effects occur when data collected by the same interviewer is more similar than data collected by different interviewers. Design effects inflate survey variance and reduce the precision of estimates. Using household survey data collected via computer assisted personal interviewing...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C
The World Bank
2022
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Interviewer design effects occur when data collected by the same interviewer is more similar than data collected by different interviewers. Design effects inflate survey variance and reduce the precision of estimates. Using household survey data collected via computer assisted personal interviewing (CAPI) in Sudan this paper employs a two-level mixed effects regression model to identify interviewer design effects for key variables. The study finds mean interviewer design effect values of 7 with a maximum of 16, implying a significant loss of precision. Recommendations to mitigate interviewer design effects include simplifying questions, sound survey implementation practices, and utilizing multi-way cluster robust standard errors to account for both area and interviewer clustering during data analysis |
| Beschreibung: | 1 Online-Ressource (16 Seiten) |
| DOI: | 10.1596/1813-9450-10242 |
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| 520 | 3 | |a Interviewer design effects occur when data collected by the same interviewer is more similar than data collected by different interviewers. Design effects inflate survey variance and reduce the precision of estimates. Using household survey data collected via computer assisted personal interviewing (CAPI) in Sudan this paper employs a two-level mixed effects regression model to identify interviewer design effects for key variables. The study finds mean interviewer design effect values of 7 with a maximum of 16, implying a significant loss of precision. Recommendations to mitigate interviewer design effects include simplifying questions, sound survey implementation practices, and utilizing multi-way cluster robust standard errors to account for both area and interviewer clustering during data analysis | |
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| 700 | 1 | |a Root, Christopher |e Sonstige |4 oth | |
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| indexdate | 2024-10-12T04:02:52Z |
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| language | English |
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| spellingShingle | Etang, Alvin Interviewer Design Effects in Household Surveys Evidence from Sudan Household Survey Interview Design Interviewer Effects Poverty Reduction Sample Variance Survey Variance |
| title | Interviewer Design Effects in Household Surveys Evidence from Sudan |
| title_auth | Interviewer Design Effects in Household Surveys Evidence from Sudan |
| title_exact_search | Interviewer Design Effects in Household Surveys Evidence from Sudan |
| title_exact_search_txtP | Interviewer Design Effects in Household Surveys Evidence from Sudan |
| title_full | Interviewer Design Effects in Household Surveys Evidence from Sudan Alvin Etang |
| title_fullStr | Interviewer Design Effects in Household Surveys Evidence from Sudan Alvin Etang |
| title_full_unstemmed | Interviewer Design Effects in Household Surveys Evidence from Sudan Alvin Etang |
| title_short | Interviewer Design Effects in Household Surveys |
| title_sort | interviewer design effects in household surveys evidence from sudan |
| title_sub | Evidence from Sudan |
| topic | Household Survey Interview Design Interviewer Effects Poverty Reduction Sample Variance Survey Variance |
| topic_facet | Household Survey Interview Design Interviewer Effects Poverty Reduction Sample Variance Survey Variance |
| url | https://doi.org/10.1596/1813-9450-10242 |
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