LISS panel - Artificial Intelligence in Medicine

Artificial intelligence (AI) is being incorporated into medicine to improve patient care. This research aims to map the general populations’ view on the implementation of AI in medicine. Furthermore, different response scales (agree-disagree versus construct-specific scales) and their effect on data quality are experimentally tested. This research aims to answer questions that are relevant for survey practice, general medicine, and the society as a whole.

Suggestions for data usage: The data files are accessible via CentERdata. For more information, please use the link under Relations or www.lissdata.nl.

Identifier
DOI https://doi.org/10.17026/dans-zfc-smnw
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-sq-dlct
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:212622
Provenance
Creator Haan, M.; Ongena, Y.; CentERdata
Publisher DANS/KNAW
Contributor CentERdata
Publication Year 2021
Rights info:eu-repo/semantics/restrictedAccess; License: https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf; https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess false
Representation
Resource Type Dataset
Format SPSS; STATA; PDF
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage The Netherlands