Increasing response rates and improving research design: Learnings from the Smart Energy Research Lab in the United Kingdom. (January 2022)
- Record Type:
- Journal Article
- Title:
- Increasing response rates and improving research design: Learnings from the Smart Energy Research Lab in the United Kingdom. (January 2022)
- Main Title:
- Increasing response rates and improving research design: Learnings from the Smart Energy Research Lab in the United Kingdom
- Authors:
- Webborn, Ellen
McKenna, Eoghan
Elam, Simon
Anderson, Ben
Cooper, Adam
Oreszczyn, Tadj - Abstract:
- Highlights: We test recruitment strategies to improve response to a smart energy meter study. A conditional monetary incentive increases response. A push-to-web approach reduces response but significantly increases online sign up. Multiple reminders are useful but a 4th mailing is unlikely to be cost-effective. Motivational headlines and message structure impact response rates. Abstract: Obtaining high-resolution energy consumption data from a large, representative sample of homes is critical for research, but low response rates, sample bias and high recruitment costs form substantial barriers. The widespread installation of smart meters offers a novel route to access such data, but in countries like Great Britain (GB) consent is required from each household; a real barrier to large-scale sampling. In this paper we show how certain study design choices can impact the response rate for energy studies requesting access to half-hourly smart meter data and (optional) survey completion. We used a randomised control trial (RCT) with a 3×2×2 factorial design; 3 (including none) incentive groups ×2 message content/structures ×2 'push-to-web' treatment groups. Up to 4 mailings (letters) were sent to 18, 000 addresses, recruiting 1711 participants (9.5% response rate) in England and Wales. The most effective strategy offered a conditional £5 voucher and postal response options in multiple mailings (compared to only once in the push-to-web approach, although at the expense of far fewerHighlights: We test recruitment strategies to improve response to a smart energy meter study. A conditional monetary incentive increases response. A push-to-web approach reduces response but significantly increases online sign up. Multiple reminders are useful but a 4th mailing is unlikely to be cost-effective. Motivational headlines and message structure impact response rates. Abstract: Obtaining high-resolution energy consumption data from a large, representative sample of homes is critical for research, but low response rates, sample bias and high recruitment costs form substantial barriers. The widespread installation of smart meters offers a novel route to access such data, but in countries like Great Britain (GB) consent is required from each household; a real barrier to large-scale sampling. In this paper we show how certain study design choices can impact the response rate for energy studies requesting access to half-hourly smart meter data and (optional) survey completion. We used a randomised control trial (RCT) with a 3×2×2 factorial design; 3 (including none) incentive groups ×2 message content/structures ×2 'push-to-web' treatment groups. Up to 4 mailings (letters) were sent to 18, 000 addresses, recruiting 1711 participants (9.5% response rate) in England and Wales. The most effective strategy offered a conditional £5 voucher and postal response options in multiple mailings (compared to only once in the push-to-web approach, although at the expense of far fewer online signups). Motivational headlines and message structure were also found to be influential. Reminders increased response but a 4 th mailing was not cost effective. Our results and recommendations can be used to help future energy studies to achieve greater response rates and improved representation. UK-based researchers can apply to use our longitudinal smart meter and contextual datasets. … (more)
- Is Part Of:
- Energy research & social science. Volume 83(2022)
- Journal:
- Energy research & social science
- Issue:
- Volume 83(2022)
- Issue Display:
- Volume 83, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 83
- Issue:
- 2022
- Issue Sort Value:
- 2022-0083-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01
- Subjects:
- Energy survey -- Incentive -- Push-to-web -- Randomized control trial -- Recruitment -- Reminder -- Response rate -- Smart meter -- Web push
Power resources -- Social aspects -- Periodicals
Energy consumption -- Social aspects -- Periodicals
333.7905 - Journal URLs:
- http://www.sciencedirect.com/ ↗
- DOI:
- 10.1016/j.erss.2021.102312 ↗
- Languages:
- English
- ISSNs:
- 2214-6296
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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