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Student Factors Influencing STEM Subject Choice in Year 12: a Structural Equation Model Using PISA/LSAY Data

  • David JeffriesEmail author
  • David D. Curtis
  • Lindsey N. Conner
Article
  • 44 Downloads

Abstract

This study investigates factors that influenced the science, technology, engineering and mathematics (STEM) subject enrolment decisions of Year 12 students in Australia. Structural equation modelling (SEM) is used to develop a model using Programme for International Student Assessment (PISA) and Longitudinal Surveys of Australian Youth (LSAY) data with participating students (N  =  7442) from 356 schools. An adapted version of the theory of planned behaviour (TPB), a behavioural prediction model, is used as the guiding conceptual framework. Students’ demographic background, attitudes towards science and achievement in science and mathematics at age 15 are used as predictors for subsequent enrolment in STEM subjects in Year 12. Gender, socio-economic status (SES) and immigrant status (native vs. non-native) are shown to be contributing factors. The personal value of science, enjoyment of science, self-concept in science and achievement (mathematics and science) are mediating factors in the model. These findings provide schools, policymakers and educational advisors with a greater understanding of the factors that influence Australian students’ decisions of whether to enrol in a STEM subject at Year 12. Evidence provided allows key stakeholders to take a more targeted approach to enhance STEM participation for students from varying demographic backgrounds.

Keywords

STEM subject choice Structural equation modelling 

Notes

Funding

The first author of this study was funded by the Australian Government Research Training Program Scholarship during his PhD candidacy.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflicts of interest.

Ethical Consent

Data from PISA is publicly and freely available. Consent for participants in PISA was obtained via parental consent (implicit or explicit). Data from LSAY was accessed after permission from NCVER and ADA was received. All participants in LSAY gave informed consent via telephone, online or in person.

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Copyright information

© Ministry of Science and Technology, Taiwan 2019

Authors and Affiliations

  1. 1.College of Education, Psychology and Social WorkFlinders UniversityBedford ParkAustralia

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