The University of Sheffield
Browse

The Development of the Awareness Attribution Scale ANONYMISED DATA

dataset
posted on 2025-05-30, 12:42 authored by Marina Sarda GouMarina Sarda Gou
<p dir="ltr"><b>README</b></p><p dir="ltr"><b>Awareness Attribution Studies (Studies 1, 2, and 3)</b></p><p dir="ltr"><b>Institution:</b> University of Sheffield</p><h3>Overview</h3><p dir="ltr">This archive contains fully anonymised datasets from three studies conducted for the development and validation of the Awareness Attribution Scale.</p><p dir="ltr">All personal and identifying data have been removed. The data is therefore fully anonymous and not subject to GDPR.</p><h3>Contents</h3><ul><li><b>S1 Ease of understanding ANONYMISED DATA</b><br>Data from Study 1, where participants rated the ease of understanding of three alternative items for each of 14 constructs. Values represent ease-of-understanding ratings (Likert scale 1=easiest to understand, 3=hardest to understand).</li></ul><p><br></p><ul><li><b>S2 Reliability ANONYMISED DATA</b><br>Data from Study 2, where participants rated 42 items (3 per construct) to assess internal consistency and item reliability. Values represent awareness attribution ratings (Likert scale 1=least aware, 5=most aware).</li></ul><p><br></p><ul><li><b>S3 Validation ANONYMISED DATA</b><br>Data from Study 3, where participants rated different entities (rock, robot, dog, human) using the final 14-item scale. Values represent awareness attribution ratings (Likert scale 1=least aware, 5=most aware).</li></ul><p><br></p><p><br></p><p dir="ltr">Research supported by the European Union under the European Innovation Council (EIC) research and innovation program, Project CAVAA (project number 101071178) as well as Project “VaLue-aware AI (VALAWAI)” (project number 101070930); and by the Royal Society. Ethical approval was obtained by the School of Computer Science Ethics Committee at the University of Sheffield (Reference Number 064307).</p>

History

Ethics

  • The project has ethical approval and the number is included in the description field

Policy

  • The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

  • The uploaded data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • Headings and units are explained in the files

Responsibility

  • The depositor is responsible for the content and sharing of the attached files

Usage metrics

    School of Computer Science

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC