Wellcome Science Education Tracker, 2019

DOI

Abstract copyright UK Data Service and data collection copyright owner.

The Science Education Tracker (SET 2019) is the second wave of a survey series that began in 2016 (SET 2016 - see SN 8119). The survey series is commissioned by Wellcome, with additional funding from the Department for Education (DfE), United Kingdom Research and Innovation (UKRI) and the Royal Society.The survey provides evidence on key indicators for science engagement, education and career aspirations among young people in England. It also provides evidence to support specific areas of interest for Wellcome and their funding partners. The survey is based on a nationally representative sample of 6,409 young people in school years 7 to 13 (aged 11-18) attending state-funded schools in England. Fieldwork was conducted online between 13 July and 2 September 2019, by Kantar. The SET 2019 survey was broader in scope than the SET 2016 survey and covered an expanded age range and larger sample. More information about this survey can be found on the Wellcome Science Education Tracker 2019 webpage.

Main Topics:

Respondents were asked questions about a range of topics, including their experience of science education, their plans for the future and their attitudes towards science-related careers. 

One-stage stratified or systematic random sample

Self-administered questionnaire: Web-based (CAWI)

Identifier
DOI http://doi.org/10.5255/UKDA-SN-8747-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=e48c1c6054a2aa9fc9ea51e4751818d0ab8352f5888dd78bd76cc4cf6bd342d4
Provenance
Creator Wellcome Trust
Publisher UK Data Service
Publication Year 2021
Funding Reference Wellcome Trust
Rights Copyright Wellcome Trust; <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p>
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Biology; Chemistry; Computer Science; Computer Science, Electrical and System Engineering; Construction Engineering and Architecture; Electrical Engineering; Engineering; Engineering Sciences; Geology; Geosciences; Geospheric Sciences; History; Humanities; Life Sciences; Mathematics; Natural Sciences; Physics; Psychology; Social and Behavioural Sciences
Spatial Coverage England