Displaying Publications 1 - 30 of 42 in total
Current search: 'Survey Methodology' and 'Jonathan Burton'
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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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Experiments on multiple requests for consent to data linkage in surveys
Sandra Walzenbach, Jonathan Burton, Mick P. Couper, et al.
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How and why does the mode of data collection affect consent to data linkage?
Annette Jäckle, Jonathan Burton, Mick P. Couper, et al.
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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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The Understanding Society Covid-19 study
Annette Jäckle, Michaela Benzeval, 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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How Understanding Society: the UK Household Longitudinal Study adapted to the COVID-19 pandemic
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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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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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The implementation of fieldwork design initiatives to improve survey quality
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How do participants understand and interpret questions about "retirement planning"?
Lindsay Abbassian, Beth Dokal, Lucy Joyce, 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 of collecting samples from Understanding Society participants for microbiome analysis
Lindsay Abbassian, Paul Vousden, Alice Coulter, 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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Adaptive push-to-web: experiments in a household panel study
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Understanding how people think about their daily spending
Mary Suffield, Heidi Hasbrouck, Alice Coulter, et al.
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Improving household finances data with joint interviewing and a balance edit: cognitive testing of a 'Benefit Unit Finance' module
Tim Hanson, Phil Westwood, Jonathan Burton, et al.
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Understanding how people conceptualise household finances
Thomas Chisholm, Heidi Hasbrouck, Alice Coulter, 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: response rates and response biases
Annette Jäckle, Jonathan Burton, Mick P. Couper, et al.
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Using an App to collect detailed expenditure data in a probability household panel survey: response rates, response biases and measurement quality
Annette Jäckle, Carli Lessof, Jonathan Burton, et al.
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Going online with a face-to-face household panel: effects of a mixed mode design on item and unit non-response