UK Nationally Representative Survey 2023: Householder acceptance and participation in the performance evaluation of homes
This dataset was created in the context of a fellowship that aimed to investigate the opportunities and barriers to householder acceptance and participation in performance monitoring of UK homes.
Performance monitoring supports the transition to net zero homes by providing evidence useful for understanding the quality and operational performance of new and existing homes, and promoting dialogue between policy makers, stakeholders, and householders. Smart technologies provide the cost and time efficiency, and technological readiness to deliver such monitoring. The findings of the study were informed by data derived from three nested research methods – a survey, interviews and focus groups. This dataset contains the data from the survey: a nationally representative sample of 972 responses.
Cite this dataset as:
Adeyeye, K.,
2024.
UK Nationally Representative Survey 2023: Householder acceptance and participation in the performance evaluation of homes.
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-01338.
Export
Access on request: Due to the nature of the consent obtained, access to the data will only be granted to bona fide researchers.
Creators
Kemi Adeyeye
University of Bath
Contributors
University of Bath
Rights Holder
Coverage
Collection date(s):
From 1 December 2021 to 31 March 2023
Geographical coverage:
United Kingdom
Documentation
Data collection method:
The survey sampling strategy was designed to reflect the relative populations of the four home nations of the UK, while at an overall level to provide findings which are statistically robust and reliable (i.e., to +/- 3.1% at a 95% confidence level). Therefore, the survey aimed to recruit 1000 participants from a total UK population of 66.9 million (mid-2019 estimate), broken down as follows: - 700 from England (pop. 56.3 million, 84% of the total); - 100 from Scotland (pop. 5.5 million, 8% of the total); - 100 from Wales (pop. 3.2 million, 5% of the total); - 100 from Northern Ireland (pop. 1.9 million, 3% of the total). A further 33 telephone surveys (excluded from this dataset) were conducted to check for digital bias and the profile matched.
Data processing and preparation activities:
A social research company was engaged to recruit participants for the survey based on their existing datasets. All data was anonymised prior to receipt and analysis by the researcher.
Technical details and requirements:
The data file is in MS Excel format and can be viewed and analysed using standard statistical analysis packages.
Methodology link:
Adeyeye, K., 2023. From product to service – strategies for upscaling smart home performance monitoring. Building Research & Information, 52(1-2), 107-128. Available from: https://doi.org/10.1080/09613218.2023.2225111.
Funders
Leverhulme Trust
https://doi.org/10.13039/501100000275
Research Fellowship
RF 2022-127
Publication details
Publication date: 19 February 2024
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-01338
URL for this record: https://researchdata.bath.ac.uk/id/eprint/1338
Related papers and books
Adeyeye, K., 2023. From product to service – strategies for upscaling smart home performance monitoring. Building Research & Information, 52(1-2), 107-128. Available from: https://doi.org/10.1080/09613218.2023.2225111.
Adeyeye, K., 2023. The householder is king: Engendering householder participation in bridging the performance gap in homes. Energy Research & Social Science, 103, 103199. Available from: https://doi.org/10.1016/j.erss.2023.103199.
Adeyeye, K., 2023. Householder readiness for smart, data-driven performance monitoring of homes. In: Computing in Construction. European Council for Computing in Construction. Available from: https://doi.org/10.35490/ec3.2023.194.
Adeyeye, K., 2024. Controlling the ‘elephant in the room’: A new protocol for sharing data from home performance monitoring systems. Technology in Society, 102478. Available from: https://doi.org/10.1016/j.techsoc.2024.102478.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Kemi Adeyeye
Faculty of Engineering & Design
Architecture & Civil Engineering
Research Centres & Institutes
Centre for Regenerative Design & Engineering for a Net Positive World (RENEW)
