Assessing and improving survey data quality in low- and middle-income countries (LMICs) |
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| Coordinator 1 | Professor Timothy Johnson (University of Illinois at Chicago) |
| Coordinator 2 | Mrs P. Linh Nguyen (University of Essex, University of Mannheim) |
| Coordinator 3 | Dr Yfke Ongena (University of Groningen) |
Researchers working in low- and middle-income countries from diverse disciplines, such as development economics, demography, and other social sciences, are increasingly engaged in investigating different aspects of the Total Survey Error to improve data quality. They are especially concerned by how survey data quality affects substantial results, as well as poverty and demographic rates.
This session aims to mainstream research on all aspects of survey data quality stemming from LMICs where the historical development, the conditions, and the implementation of survey methodology differs from other contexts. We see this session as unique opportunity to foster the network of like-minded researchers and practitioners, as well as to promote research results focusing on LMICs in preparation for the ESRA conference in 2027 organised jointly with the World Association for Public Opinion Research (WAPOR) and the first WAPOR conference in a Sub-Saharan African country, Kenya, in 2028.
Researchers may present their work on any issue(s) encountered along the full survey lifecycle from questionnaire development and testing, including scale development; translation, adaptation, and assessment of questionnaires into local languages; sampling innovations using unconventional sample frames; survey participation, data collection challenges and solutions through innovative uses of technology; minimizing measurement error; interviewer effects; survey data quality control; respondent comprehension and burden; etc.
There is no specific regional focus and papers may cover a variety of topics. Nevertheless, the studies to be considered should rely on data coming from LMICs. Cross-national comparisons in these contexts are also welcome.