TY - JOUR
T1 - Is it all about early occupational expectations? How the gender gap in two science domains reproduces itself at subsequent stages of education
T2 - evidence from longitudinal PISA in Australia
AU - Sikora, Joanna
N1 - Publisher Copyright:
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2019/11/2
Y1 - 2019/11/2
N2 - Although the gender gap in non-compulsory science attracts much attention, few studies compare factors that shape it at subsequent life stages. Here, a life-course approach is used to examine the gender gap in science career expectations at ages 16, 23 and 26 for a recent student cohort. Then, a decomposition is applied to assess what share of the gender gap in Year 12 science, university science and post-university employment depends on earlier expectations to pursue a science career. The data, collected between 2006 and 2016, come from the population-representative Longitudinal Survey of Australian Youth, initiated with the Australian sample of the Program for International Student Assessment (PISA). Pathways into two science domains are contrasted. The first is biological and health sciences (BAH), the second entails computing, engineering, physics and mathematical sciences (CEM). The gender gap in occupational plans to work in science is widest in adolescence before stabilising in young adulthood. Yet, adolescence is also a life stage at which science is most popular as a potential career. Prior to university entry, up to one third of the gender gap in science can be attributed to individual motivation or characteristics. What can be explained, depends predominantly on occupational goals.
AB - Although the gender gap in non-compulsory science attracts much attention, few studies compare factors that shape it at subsequent life stages. Here, a life-course approach is used to examine the gender gap in science career expectations at ages 16, 23 and 26 for a recent student cohort. Then, a decomposition is applied to assess what share of the gender gap in Year 12 science, university science and post-university employment depends on earlier expectations to pursue a science career. The data, collected between 2006 and 2016, come from the population-representative Longitudinal Survey of Australian Youth, initiated with the Australian sample of the Program for International Student Assessment (PISA). Pathways into two science domains are contrasted. The first is biological and health sciences (BAH), the second entails computing, engineering, physics and mathematical sciences (CEM). The gender gap in occupational plans to work in science is widest in adolescence before stabilising in young adulthood. Yet, adolescence is also a life stage at which science is most popular as a potential career. Prior to university entry, up to one third of the gender gap in science can be attributed to individual motivation or characteristics. What can be explained, depends predominantly on occupational goals.
KW - Australian youth
KW - Longitudinal PISA
KW - gender gap in science
KW - life-course perspective
KW - science-related occupational expectations
UR - http://www.scopus.com/inward/record.url?scp=85074353810&partnerID=8YFLogxK
U2 - 10.1080/09500693.2019.1676933
DO - 10.1080/09500693.2019.1676933
M3 - Article
SN - 0950-0693
VL - 41
SP - 2347
EP - 2368
JO - International Journal of Science Education
JF - International Journal of Science Education
IS - 16
ER -