Wellcome Science Education Tracker, 2016

DOI

Abstract copyright UK Data Service and data collection copyright owner.

The Science Education Track (SET) is designed to provide evidence on a range of key indicators for science engagement, education and career aspirations among young people in England. The survey is based on a nationally representative sample of 4,081 young people in school years 10 to 13 (aged 14-18) attending state-funded schools in England. Fieldwork was conducted online between June 29th and August 31st 2016, by Kantar Public on behalf of the Wellcome Trust and supported by the Royal Society, the Department for Business, Energy and Industrial Strategy (BEIS) and the Department for Education (DfE). The SET survey has built on two previous studies conducted on behalf of the Wellcome Trust: the Wellcome Monitor Survey waves 1 and 2 conducted in 2009 and 2012. This survey represented a departure from the Monitor survey series in several respects: the survey moved from face-to-face interviewing to online self-completion; the sampling frame changed; and the sample size was substantially increased to allow more detailed analysis by school year cohorts and population subgroups. More information about this survey can be found on its Wellcome webpage.

Main Topics:

The survey investigates different perceptions of science such as: science at school, including GCSE, year 12 and beyond, science as a career and science outside the classroom.

One-stage stratified or systematic random sample

E-mail survey

Identifier
DOI http://doi.org/10.5255/UKDA-SN-8119-1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=ade425012b4724b388d64aa395125a7083895571d4742dc4a68819411535088b
Provenance
Creator Wellcome Trust
Publisher UK Data Service
Publication Year 2017
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