Young People's STEM Aspirations and Trajectories, Age 15-19, 2013-2017

DOI

Abstract copyright UK Data Service and data collection copyright owner. 

The Young People's STEM Aspirations and Trajectories, Age 15-19, 2013-2017 data were gathered as part of the ASPIRES 2 project. This was a five-year (2014-2019) mixed-methods project which investigated the science and career aspirations of young people in England from age 14 to 19 years. The study extended previous research (ASPIRES - see SN 9222) conducted with the same cohort of young people who had participated in the first project at ages 10-14. It comprised a quantitative online survey of the cohort and repeat (longitudinal) interviews with a selected sub-sample of students and their parents. Please note that this dataset comprises the quantitative (survey) data only, not the qualitative (interview) data.Survey data were collected at two time points: at the end of Key Stage 4/National GCSE exams (age 15/16, Year 11) and the end of Key Stage 5/College (age 17/18/19, Year 13 or equivalent). The surveys collected a range of demographic data (including gender, ethnicity and measures of cultural capital) and attitudinal data. Data gathered under the first ASPIRES project, when participants were aged 10-14 years, are held under SN 9222. Data gathered under the subsequent ASPIRES 3 project, when participants were aged 20-22 years, are held under SN 9224.

Main Topics:

Topics included aspirations in science, attitudes towards school and science, self-concept in science, images of scientists, participation in science-related activities outside of school, parental attitudes towards science, career education, work experience, and post-16 choices. Most questions used a five-point Likert-type scale to elicit attitudinal responses. Response options were on a five-point scale from ‘strongly agree’ to ‘strongly disagree’ with ‘neither agree nor disagree’ as a midpoint. The dataset is a study of the cohort and is not tracked or longitudinal. 

Sampling done at school level. See documentation for details.

Self-administered questionnaire: Computer-assisted (CASI)

Identifier
DOI https://doi.org/10.1002/tea.21628
Related Identifier https://doi.org/10.1080/02671522.2016.1219382
Related Identifier https://doi.org/10.1080/02671522.2016.1271005
Related Identifier https://doi.org/10.1007/s10763-018-9900-4
Related Identifier https://discovery.ucl.ac.uk/id/eprint/10092041/15/Moote_9538%20UCL%20Aspires%202%20report%20full%20online%20version.pdf
Related Identifier https://doi.org/10.1080/02671522.2019.1678062
Related Identifier https://doi.org/10.1002/jee.20302
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=de74479d485214c10fe0eb5ae6a419a16f773c01bfbee0549d0863edd6958eb4
Provenance
Creator King's College London; University College London
Publisher UK Data Service
Publication Year 2024
Funding Reference Economic and Social Research Council
Rights <p>Copyright King's College London and University College London<br></p>; <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><p>Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.</p>
OpenAccess true
Representation
Resource Type Numeric
Discipline Biology; Chemistry; Life Sciences; Mathematics; Natural Sciences; Physics
Spatial Coverage England