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    <datestamp>2024-02-20 10:19:57</datestamp>
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          <given>Kemi</given>
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    <title>UK Nationally Representative Survey 2023: Householder acceptance and participation in the performance evaluation of homes</title>
    <subjects>
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      <item>DK0010</item>
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    <keywords>Active citizenship, building performance monitoring, building performance evaluation, smart homes, post occupancy evaluation, net zero homes, housing quality, home improvement, smart home technologies, performance gaps, household participation</keywords>
    <abstract>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.</abstract>
    <date>2024-02-19</date>
    <publisher>University of Bath</publisher>
    <full_text_status>restricted</full_text_status>
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        <funder_id>https://doi.org/10.13039/501100000275</funder_id>
        <grant_id>RF-2022-127\7</grant_id>
        <project_name>Research Fellowship – Householder acceptance and participation in the performance evaluation of homes</project_name>
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    <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.</collection_method>
    <provenance>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.</provenance>
    <techinfo>The data file is in MS Excel format and can be viewed and analysed using standard statistical analysis packages.</techinfo>
    <methodurl>
      <item>https://doi.org/10.1080/09613218.2023.2225111</item>
    </methodurl>
    <collection_date>
      <date_from>2021-12-01</date_from>
      <date_to>2023-03-31</date_to>
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    <geographic_cover>United Kingdom</geographic_cover>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-01338</doi>
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        <link>https://doi.org/10.1080/09613218.2023.2225111</link>
        <type>pub</type>
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      <item>
        <link>https://doi.org/10.1016/j.erss.2023.103199</link>
        <type>pub</type>
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      <item>
        <link>https://doi.org/10.35490/EC3.2023.194</link>
        <type>pub</type>
      </item>
      <item>
        <link>https://doi.org/10.1016/j.techsoc.2024.102478</link>
        <type>pub</type>
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    <access_arrangements>Due to the nature of the consent obtained, access to the data will only be granted to bona fide researchers.</access_arrangements>
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