Displaying Publications 1 - 30 of 156 in total
Current search: 'Annette Jäckle'
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High frequency online data collection in an annual household panel study: some evidence on bias prevention and bias adjustment
Michaela Benzeval, Jonathan Burton, Thomas F. Crossley, et al.
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Understanding and improving data linkage consent in surveys
Annette Jäckle, Jonathan Burton, Mick P. Couper, et al.
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Experiments on multiple requests for consent to data linkage in surveys
Sandra Walzenbach, Jonathan Burton, Mick P. Couper, et al.
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Protect BAME people hit financially by Covid, says UK thinktank
Michaela Benzeval, Jonathan Burton, Thomas F. Crossley, et al.
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Is that still the same? Has that changed? On the accuracy of measuring change with dependent interviewing
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The Understanding Society Covid-19 study
Annette Jäckle, Michaela Benzeval, Jonathan Burton, et al.
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Briefing note COVID-19 survey: family relationships
Michaela Benzeval, Jonathan Burton, Thomas F. Crossley, et al.
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Briefing note COVID-19 Survey: the economic effects
Thomas F. Crossley, Michaela Benzeval, Jonathan Burton, et al.
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Briefing note COVID-19 survey: health and caring
Michaela Benzeval, Cara L. Booker, Jonathan Burton, et al.
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Briefing note COVID-19 survey: home schooling
Michaela Benzeval, Magda Borkowska, Jonathan Burton, et al.
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Black, minority Britons hit hardest by COVID job losses, researchers say
Michaela Benzeval, Jonathan Burton, Thomas F. Crossley, et al.
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Coronavirus hitting BAME and single parent families worst financially
Michaela Benzeval, Jonathan Burton, Thomas F. Crossley, et al.
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BAME and single-parent families worst hit financially by Covid-19
Michaela Benzeval, Jonathan Burton, Thomas F. Crossley, et al.
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Observing, understanding and improving society - for everyone
Michaela Benzeval, Jonathan Burton, Thomas F. Crossley, et al.
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The effects of personalized feedback on participation and reporting in mobile app data collection
Alexander Wenz, Annette Jäckle, Jonathan Burton, et al.
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The idiosyncratic impact of an aggregate shock: the distributional consequences of COVID-19
Michaela Benzeval, Jonathan Burton, Thomas F. Crossley, et al.
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Mode effects
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Integrated data: research potential and data quality
Michaela Benzeval, Christopher R. Bollinger, Jonathan Burton, et al.
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Understanding and reducing income reporting error in household surveys
Jonathan Burton, Thomas F. Crossley, Paul Fisher, et al.
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Event-triggered data collection
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Understanding Society Innovation Panel Wave 11: results from methodological experiments
Jonathan Burton, Roxanne Connelly, Mick P. Couper, et al.
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Increasing participation in a mobile app study: the effects of a sequential mixed-mode design and in-interview invitation
Annette Jäckle, Alexander Wenz, Jonathan Burton, et al.
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The acceptability and feasibility of asking monthly “life-event” questions in between waves of a panel study
Anna Horsley, Kelsey Beninger, Naomi Day, et al.
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Participation in a mobile app survey to collect expenditure data as part of a large-scale probability household panel: coverage and participation rates and biases
Annette Jäckle, Jonathan Burton, Mick P. Couper, et al.
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Willingness to use mobile technologies for data collection in a probability household panel
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A review of new technologies and data sources for measuring household finances: implications for total survey error
Annette Jäckle, Alessandra Gaia, Carli Lessof, et al.
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Understanding data linkage consent in longitudinal surveys
Annette Jäckle, Kelsey Beninger, Jonathan Burton, et al.
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Understanding how people think about their daily spending
Mary Suffield, Heidi Hasbrouck, Alice Coulter, et al.
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The use of new technologies to measure socio-economic and environmental concepts in longitudinal studies
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Understanding how people conceptualise household finances
Thomas Chisholm, Heidi Hasbrouck, Alice Coulter, et al.