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REFIT: Personalised retrofit decision support tools for UK homes using smart home technology. Phase 1: Survey data
Creator
Wilson, C, University of East Anglia
Hargreaves, T, University of East Anglia
Study number / PID
852366 (UKDA)
10.5255/UKDA-SN-852366 (DOI)
Data access
Open
Series
Not available
Abstract
The REFIT project investigated the use of smart home technologies and their potential impact on household energy demand.
As part of the REFIT project, a national survey was conducted to measure perceptions of smart homes. The survey instrument was developed and tested by the project team. The survey was implemented online during September - October 2015 by a market research company using a representative sample of UK homeowners. A total of 1054 responses were collected. The survey responses were coded and cleaned by the project team. Both survey instrument and cleaned response data are made available here.
The REFIT project additionally ran a field trial of smart home technologies involving twenty households in Loughborough, UK, over a two year period from October 2013 - October 2015. Detailed qualitative data on participating households’ perceptions of smart home technologies are available separately (see Related resources - Related data collections).
These data were collected as part of the REFIT project (`Personalised Retrofit Decision Support Tools for UK Homes using Smart Home Technology’). The REFIT project ran from 2012 - 2015 as a consortium of three universities - Loughborough, Strathclyde and East Anglia - and ten industry stakeholders. The REFIT project was funded by the Engineering and Physical Sciences Research Council (EPSRC) through linked grants under the Transforming Energy Demand in Buildings through Digital Innovation (BuildTEDDI) funding programme. This dataset was collected under Grant Reference EP/K002430/1 to the University of East Anglia. Other linked grants to consortium members includes EP/K002457/1 (Loughborough) and EP/K002368/1 (Strathcldye). Further details on the REFIT project and related publications can be found at: http://www.refitsmarthomes.orgThermal efficiency retrofit options, appliance upgrades and on-site renewables represent a significant opportunity to deliver energy demand reductions to UK homes. The potential to...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/09/2015 - 31/10/2015
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
The survey instrument was developed by the research team to measure: (A) general perceptions of the purpose, benefits and risks of smart home technologies, and general issues of consumer confidence; (B) perceived attributes of smart home technologies including how they are designed, how they are controlled, and the domestic activities for which they are most relevant.The survey instrument was structured in two parts. Part one contained socio-demographic questions and basic questions on smart home awareness used to screen respondents (see below). Part two contained detailed questions measuring smart home perceptions on a 5 point Likert scale (with 5 = strongly agree).All questions were developed, iteratively tested and refined for clarity and comprehensibility prior to implementation. The survey was implemented online by a market research company, SSI, using a respondent panel representative of the UK homeowner population. Survey responses were collected from 18 September - 14 October 2015.Screening questions were included to ensure that survey respondents (i) have at least a vague idea of what smart home technologies are, (ii) own their own home (with or without a mortgage), (iii) are >18 years old. A total of n=125 respondents were screened out for not meeting all three of these criteria.Quality checks were run to identify possible respondents with low cognitive engagement in the survey questions. Quality checks included: (i) straight line responses on blocks of questions; (ii) inappropriate or irrelevant open-ended responses revealing a lack of understanding of questions; (iii) contradictory responses on identical but inversely-framed questions; (iv) unrealistically fast survey completion times. A total of n=593 respondents were filtered out for failing two or more of these quality checks.The final sample comprised n=1025 respondents. The average survey completion was just under 7 minutes.