Implicit Bias Against Disabled and Older People in the Workplace, 2020-2021

DOI

This data contains 108 responses to the disability version of the Implicit Association Test (IAT) and a subsample of 50 responses to the age version of the IAT. It also contains associated demographic and employment information as well as the Health-Related Quality of Life survey EQ-5D-5L.This project explores implicit bias in the workplace towards disabled people and older people in the (predominantly small) business community in Cornwall, UK using a validated measure of implicit bias known as the Implicit Association Test.

This data was collected using an online survey. Recruitment for the study was done through existing business networks, in particular Cornwall Chamber of Commerce and Cornwall and Isles of Scilly Local Enterprise Partnership (the latter of which is a project partner). This involved the use of mailing lists and pieces on their websites. The study was also promoted at a number of business facing events (business 'breakfasts', webinars and other events, etc.). As such, the primary target population for the study was the local Cornish business community. People who are H.R. professionals or otherwise who are involved in making hiring decisions were particularly encouraged to participate and this is reflected in our final sample. In total, 108 participants completed the study (of which 50 did the age IAT as well). The sample is approximately evenly split between a) people in Cornwall and people in other parts of the UK b) people who work for large (250+ employee) companies and people who for Small- to Medium-sized Enterprises (SME, less than 250 employees) c) people are H.R. professionals or are involved in making hiring decisions.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-855417
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=b9830c8055318076af76e99f938ec78b9dfb0b407bbf304fffe2250384cb3d68
Provenance
Creator Derbyshire, D, University of Exeter
Publisher UK Data Service
Publication Year 2022
Funding Reference European Regional Development Fund
Rights Daniel Derbyshire, University of Exeter; The Data Collection is available for download to users registered with the UK Data Service.
OpenAccess true
Representation
Resource Type Numeric
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage Data collection was conducted online, about half the respondents are in Cornwall with the rest spread across the UK; United Kingdom