Computer-Assisted Mobile Phone Interviews in Low- and Middle-Income Countries Through a Total Survey Error Framework

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Authors: Abigail R Greenleaf, Huguette Diakabana, Charles Lau
Cited by: 1
References: 68

Abstract

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.

Fields of Study & Subjects

Survey Methodology and Nonresponse Mobile Health and mHealth Applications ICT in Developing Communities

Publication details

Journal / source
Public Opinion Quarterly
Publisher
Oxford University Press (OUP)
Volume
90
Issue
3
Pages
878–910
Publication date
1 January 2026
Language
EN