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Computer-Assisted Mobile Phone Interviews in Low- and Middle-Income Countries Through a Total Survey Error Framework
Abigail R Greenleaf1, Huguette Diakabana2, Charles Lau3
1Technical Specialist, ICAP at Columbia University, Mailman School of Public Health, Columbia University, New York, NY, US; and Assistant Professor, Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, NY, US.
None:
Researchers increasingly use computer-assisted telephone interviewing (CATI) via mobile phones in low- and middle-income countries (LMIC). A nascent methodological literature explores representation and measurement error in these surveys, but knowledge is disparate, siloed across disciplines, countries, and research designs. Using the total survey error framework, this research synthesis summarizes findings from peer-reviewed methodological research on CATI in LMIC. We used a scoping review methodology to identify and review 38 peer-reviewed journal articles to answer two research questions: (1) Which study designs, topic areas, and total survey error components have been examined in CATI mobile phone surveys conducted in LMIC? and (2) What does the research say about representation and measurement errors in CATI mobile phone surveys in LMIC? Based on these findings, this research synthesis highlights when, where, and how CATI surveys can be used across LMIC.
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