Assessing recall bias and measurement error in high-frequency social data collection for human-environment research

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cg.authorship.typesCGIAR single centreen
cg.contributor.crpPolicies, Institutions, and Markets
cg.contributor.donorUnited States Agency for International Developmenten
cg.contributor.donorBill & Melinda Gates Foundationen
cg.coverage.countryBangladesh
cg.coverage.iso3166-alpha2BD
cg.coverage.regionSouthern Asia
cg.coverage.regionAsia
cg.creator.identifierPatrick S Ward: 0000-0001-8793-1200
cg.creator.identifierMd. Ehsanul Haque Tamal: 0000-0002-1331-0732
cg.identifier.doihttps://doi.org/10.1007/s11111-019-0314-1en
cg.identifier.projectIFPRI - Environment and Production Technology Division
cg.identifier.projectIFPRI - Cereal Systems Initiative for South Asia (CSISA)
cg.identifier.publicationRankA
cg.isijournalISI Journalen
cg.issn1573-7810en
cg.issue3en
cg.journalPopulation and Environmenten
cg.reviewStatusPeer Reviewen
cg.volume40en
dc.contributor.authorBell, Andrew R.en
dc.contributor.authorWard, Patrick S.en
dc.contributor.authorTamal, Md. Ehsanul Haqueen
dc.contributor.authorKillilea, Mary E.en
dc.date.accessioned2024-06-21T09:05:51Zen
dc.date.available2024-06-21T09:05:51Zen
dc.identifier.urihttps://hdl.handle.net/10568/146110
dc.titleAssessing recall bias and measurement error in high-frequency social data collection for human-environment researchen
dcterms.abstractA major impediment to understanding human-environment interactions is that data on social systems are not collected in a way that is easily comparable to natural systems data. While many environmental variables are collected with high frequency, gridded in time and space, social data is typically conducted irregularly, in waves that are far apart in time. These efforts typically engage respondents for hours at a time, and suffer from decay in participants’ ability to recall their experiences over long periods of time. Systematic use of mobile and smartphones has the potential to transcend these challenges, with a critical first step being an evaluation of where survey respondents experience the greatest recall decay. We present results from, to our knowledge, the first systematic evaluation of recall bias in components of a household survey, using the Open Data Kit (ODK) platform on Android smartphones. We tasked approximately 500 farmers in rural Bangladesh with responding regularly to components of a large household survey, randomizing the frequency of each task to be received weekly, monthly, or seasonally. We find respondents’ recall of consumption and experience (such as sick days) to suffer much more greatly than their recall of the use of their households’ time for labor and farm activities. Further, we demonstrate a feasible and cost-effective means of engaging respondents in rural areas to create and maintain a true socio-economic “baseline” to mirror similar efforts in the natural sciences.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationBell, Andrew; Ward, Patrick S.; Tamal, Md. Ehsanul Haque; and Killilea, Mary E. 2019. Assessing recall bias and measurement error in high-frequency social data collection for human-environment research. Population and Environment 40(3): 325-345. https://doi.org/10.1007/s11111-019-0314-1en
dcterms.extent325-345en
dcterms.issued2019-04-10
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherSpringer Science and Business Media LLCen
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/6629en
dcterms.subjecthousehold surveysen
dcterms.subjectdata collectionen
dcterms.subjectmobile equipmenten
dcterms.subjectinformation and communication technologiesen
dcterms.subjectmobile unitsen
dcterms.typeJournal Article

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