1. Using paradata to assess respondent burden and interviewer effects in household surveys: Evidence from low- and middle-income countries1.
- Author
-
Hasanbasri, Ardina, Kilic, Talip, Koolwal, Gayatri, and Moylan, Heather
- Subjects
- *
HOUSEHOLD surveys , *TELEPHONE interviewing , *MIDDLE-income countries , *OFFICES , *INTERVIEWERS , *MULTILEVEL models , *EPIDEMIOLOGICAL transition - Abstract
Over the past decade, national statistical offices in low- and middle-income countries have increasingly transitioned to computer-assisted personal interviewing and computer-assisted telephone interviewing for the implementation of household surveys. The byproducts of these types of data collection are survey paradata, which can unlock objective, module- and question-specific, actionable insights on survey respondent burden, survey costs, and interviewer effects – all of which have been understudied in low- and middle-income contexts. This study uses paradata generated by Survey Solutions, a computer-assisted personal interviewing platform used in recent national household surveys implemented by the national statistical offices of Cambodia, Ethiopia, and Tanzania. Across countries, the average household interview, based on a socioeconomic household questionnaire, ranges from 82 to 120 minutes, while the average interview with an adult household member, based on a multi-topic individual questionnaire, takes between 13 to 25 minutes. The paper further provides guidelines on the use of paradata for module-level analysis to aid in operational survey decisions, such as using interview length to estimate unit cost for budgeting purposes as well as understanding interviewer effects using a multilevel model. Our findings, particularly by module, point to where additional interviewer training, fieldwork supervision, and data quality monitoring may be needed in future surveys. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF