Computer-Assisted Mobile Phone Interviews in Low- and Middle-Income Countries Through a Total Survey Error Framework.
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, countr...
| Published in: | Public Opinion Quarterly Vol. 90; no. 3; pp. 878 - 911 |
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| Main Authors: | , , |
| Format: | Article |
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Oxford University Press / USA
Fall2026
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=194844053&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 194844053 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0033362X POQ jtl: Public Opinion Quarterly issn: 0033362X maglogo: N pubinfo: dt: Fall2026 vid: 90 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 194844053 10.1093/poq/nfag023 ppf: 878 ppct: 33 formats: tig: atl: Computer-Assisted Mobile Phone Interviews in Low- and Middle-Income Countries Through a Total Survey Error Framework. aug: au: Greenleaf, Abigail R Diakabana, Huguette Lau, Charles affil: Technical 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 Independent Researcher, The Luminous Agency, Vevey, Switzerland Deputy Global Research Director, Gallup, Washington, DC, US su: Telephone surveys Measurement errors Low-income countries Sampling errors Telephone interviewing sug: subj: Telephone surveys Measurement errors Low-income countries Sampling errors Telephone interviewing ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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