Investigating factors that influence grade 12 students'STEM subject choice using structural equation modelling and path analysis

With recent technological advancements and an increasingly globalized economy, research has identified a need for a workforce skilled in science, technology, engineering and mathematics (STEM). However, the number of student’s enrolling in STEM subjects at secondary and tertiary level in Western countries has declined. This study investigated factors that influenced STEM subject enrolment decisions of Grade 12 students in Australia. Structural equation modelling and path analysis was used to develop a model using PISA data with the theory of planned behavior (TPB) as the guiding conceptual framework. Gender, SES and immigrant status were shown to be contributing factors. Personal value in science, enjoyment of science, self-concept in science and achievement (mathematics and science) were mediating factors in the model.