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. 2022:9:101877.
doi: 10.1016/j.mex.2022.101877. Epub 2022 Oct 8.

Quota sampling method in online household surveys

Affiliations

Quota sampling method in online household surveys

Inas Nurfadia Futri et al. MethodsX. 2022.

Abstract

The Covid-19 pandemic has transformed people's activities in many aspects of human life, including how to conduct field surveys as part of research projects. The pandemic could substantially increase research expenses because the execution of surveys is limited by the activity restrictions imposed by the government. Field surveys during the pandemic are no longer flexible because for safety reasons, both the surveyor and the surveyed participant should be negative for Covid-19 by taking PCR tests. This condition could be problematic because research involving household samples is usually characterized by large sample sizes and wide coverage areas. The survey is also usually conducted directly in households to provide better and more accurate results. This article describes an alternative method for obtaining a representative sample of households using an internet-based survey at an affordable cost without ignoring the validity of the survey. This method can be widely implemented in social and economic field studies.•The sampling method proposed for household research is quota sampling, with the strict application of proportions or controlled quotas.•Recruiting local enumerators and selecting respondents based on the criteria is a tool to ease the validation process and quota control of respondents.

Keywords: Enumerator; Household surveys; Internet-based nonprobability sampling; Quota sampling.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Image, graphical abstract
Graphical abstract
Fig 1
Fig. 1
Flyer of enumerator recruitment.
Fig 2
Fig. 2
The announcement of selected enumerators.
Fig 3
Fig. 3
Proportion and characteristics of respondents.
Fig 4
Fig. 4
Respondent distribution location.

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