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Knock-to-nudge methods to improve survey participation in the UK

Knock-to-nudge methods to improve survey participation in the UK
Knock-to-nudge methods to improve survey participation in the UK
Relevance & research question: data collection organisations are shifting toward new approaches, with social surveys undergoing significant design and implementation changes. Since the COVID-19 pandemic, agencies have increasingly moved to online data collection due to dwindling response rates and rising fieldwork costs. A key challenge for self-completion general population surveys is the absence of field interviewers to facilitate recruitment and participant retention. This research examines the UK survey landscape, aiming to identify recruitment methods for self-administered surveys, that can produce more representative samples of the general population.

Methods & data: we present findings from an information request sent to the UK’s nine most important survey agencies. We collected information on surveys without field interviewers conducted between 2018 and early 2024, including publicly available technical and methodological reports and other survey materials, along with internal reports provided by the agencies. We processed and codified this information, building a spreadsheet containing 144 instances of 59 longitudinal and cross-sectional surveys, along with 227 communication materials.

Results: the responses for the surveys in our dataset use 57% online, 38% paper, and 5% telephone modes. Most surveys (84%) offer incentives to participants, with 92% being monetary and only 33% given unconditionally. Response rates vary widely – household-based cross-sectional surveys tend to have lower response rates (81% at 30% response or lower) than individual-based ones (47% at 30% or lower). Longitudinal surveys generally have the highest response rates. While only 35% of reports assess sample representativeness, the general trend confirms that mixed-mode surveys yield more representative samples than single-mode surveys.

Added value: to our knowledge, this review is the first coordinated effort to collate and summarise recruitment strategies for surveys without field interviewers in the UK. It covers sampling design, communication strategies and materials, incentivisation, fieldwork procedures, response rates, and report quality assessments. Our dataset provides insights into the current state of survey practice and helps identifying practices that might contribute towards higher response rates and sample representativeness.
knock-to-nudge, online surveys, self-completion surveys
Maslovskaya, Olga
ff9cd418-fc32-4f03-8bf2-089a992bdf4a
Domarchi, Cristian
12770dd9-ec99-4d57-acfc-4ca745b63f07
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Maslovskaya, Olga
ff9cd418-fc32-4f03-8bf2-089a992bdf4a
Domarchi, Cristian
12770dd9-ec99-4d57-acfc-4ca745b63f07
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940

Maslovskaya, Olga, Domarchi, Cristian and Smith, Peter W.F. (2025) Knock-to-nudge methods to improve survey participation in the UK. The 27th General Online Research Conference, Freie Universität Berlin, Berlin, Germany. 31 Mar - 02 Apr 2025.

Record type: Conference or Workshop Item (Paper)

Abstract

Relevance & research question: data collection organisations are shifting toward new approaches, with social surveys undergoing significant design and implementation changes. Since the COVID-19 pandemic, agencies have increasingly moved to online data collection due to dwindling response rates and rising fieldwork costs. A key challenge for self-completion general population surveys is the absence of field interviewers to facilitate recruitment and participant retention. This research examines the UK survey landscape, aiming to identify recruitment methods for self-administered surveys, that can produce more representative samples of the general population.

Methods & data: we present findings from an information request sent to the UK’s nine most important survey agencies. We collected information on surveys without field interviewers conducted between 2018 and early 2024, including publicly available technical and methodological reports and other survey materials, along with internal reports provided by the agencies. We processed and codified this information, building a spreadsheet containing 144 instances of 59 longitudinal and cross-sectional surveys, along with 227 communication materials.

Results: the responses for the surveys in our dataset use 57% online, 38% paper, and 5% telephone modes. Most surveys (84%) offer incentives to participants, with 92% being monetary and only 33% given unconditionally. Response rates vary widely – household-based cross-sectional surveys tend to have lower response rates (81% at 30% response or lower) than individual-based ones (47% at 30% or lower). Longitudinal surveys generally have the highest response rates. While only 35% of reports assess sample representativeness, the general trend confirms that mixed-mode surveys yield more representative samples than single-mode surveys.

Added value: to our knowledge, this review is the first coordinated effort to collate and summarise recruitment strategies for surveys without field interviewers in the UK. It covers sampling design, communication strategies and materials, incentivisation, fieldwork procedures, response rates, and report quality assessments. Our dataset provides insights into the current state of survey practice and helps identifying practices that might contribute towards higher response rates and sample representativeness.

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More information

Published date: 1 April 2025
Venue - Dates: The 27th General Online Research Conference, Freie Universität Berlin, Berlin, Germany, 2025-03-31 - 2025-04-02
Keywords: knock-to-nudge, online surveys, self-completion surveys

Identifiers

Local EPrints ID: 500608
URI: http://eprints.soton.ac.uk/id/eprint/500608
PURE UUID: 37d92385-94f6-4a78-903b-fd616b8c2452
ORCID for Cristian Domarchi: ORCID iD orcid.org/0000-0002-9068-704X
ORCID for Peter W.F. Smith: ORCID iD orcid.org/0000-0003-4423-5410

Catalogue record

Date deposited: 07 May 2025 16:35
Last modified: 08 May 2025 02:13

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Contributors

Author: Olga Maslovskaya
Author: Cristian Domarchi ORCID iD

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