Panel sampling in health research

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Embargoed until: 2021-04-01
Author(s)
Chauvenet, Alienor
Buckley, Ralf
Hague, Leah
Fleming, Chris
Brough, Paula
Griffith University Author(s)
Year published
2020
Metadata
Show full item recordAbstract
In The Lancet Psychiatry, Matthias Pierce and colleagues1,2 identify the importance of sampling in studying mental health effects of COVID-19. We found that a mental health survey3 using a commercial panel (of approximately 20000 people) overrepresented mentally unhealthy respondents by approximately 2·5 times. This overrepresentation occurred despite multiple measures to ensure representativeness: prespecified demographic and geographical sampling quotas; post-collection checks on the distribution of socioeconomic parameters; and adjustments for mismatches between clinical psychological scores and use of health-care services. ...
View more >In The Lancet Psychiatry, Matthias Pierce and colleagues1,2 identify the importance of sampling in studying mental health effects of COVID-19. We found that a mental health survey3 using a commercial panel (of approximately 20000 people) overrepresented mentally unhealthy respondents by approximately 2·5 times. This overrepresentation occurred despite multiple measures to ensure representativeness: prespecified demographic and geographical sampling quotas; post-collection checks on the distribution of socioeconomic parameters; and adjustments for mismatches between clinical psychological scores and use of health-care services. Further random subsampling, before analysis, was required to correct for this sampling bias.
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View more >In The Lancet Psychiatry, Matthias Pierce and colleagues1,2 identify the importance of sampling in studying mental health effects of COVID-19. We found that a mental health survey3 using a commercial panel (of approximately 20000 people) overrepresented mentally unhealthy respondents by approximately 2·5 times. This overrepresentation occurred despite multiple measures to ensure representativeness: prespecified demographic and geographical sampling quotas; post-collection checks on the distribution of socioeconomic parameters; and adjustments for mismatches between clinical psychological scores and use of health-care services. Further random subsampling, before analysis, was required to correct for this sampling bias.
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Journal Title
Lancet Psychiatry
Volume
7
Issue
10
Copyright Statement
© 2020 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
Subject
Clinical Sciences
Public Health and Health Services
Psychology
Science & Technology
Life Sciences & Biomedicine
Psychiatry