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Quota sampling method in online household surveys

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dc.contributor.authorInas Nurfadia Futri
dc.contributor.authorTastaftiyan Risfandy
dc.contributor.authorMansor H. Ibrahim
dc.date.accessioned2023-05-22T07:32:18Z
dc.date.available2023-05-22T07:32:18Z
dc.date.issued2022
dc.description.abstractThe 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.en_US
dc.goalsGoal 11
dc.identifier.citationFutri, I. N., Risfandy, T., & Ibrahim, M. I. (2022). Quota sampling method in online household surveys. MethodsX, 9, Article 101877. https://doi.org/10.1016/j.mex.2022.101877en_US
dc.identifier.doihttps://doi.org/10.1016/j.mex.2022.101877
dc.identifier.issn2215-0161 (Online)
dc.identifier.urihttps://ikr.inceif.edu.my/handle/INCEIF/3771
dc.languageEnglish
dc.language.isoengen_US
dc.publisherElsevier B.V.en_US
dc.rights2022. The Authors
dc.sourceSEDONA
dc.subjectHousehold surveysen_US
dc.subjectInternet-based nonprobability samplingen_US
dc.subjectQuota samplingen_US
dc.subjectEnumeratoren_US
dc.titleQuota sampling method in online household surveysen_US
dc.typeJournal Articleen_US
dspace.entity.typePublication
ikr.doctypeScholarly Works
ikr.goalGoal 11
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