TY - JOUR
T1 - Where do they do engineering? Gender differences in employment at the position level among engineering doctorate recipients
AU - Tao, Yu
N1 - Publisher Copyright:
© 2016 by Begell House, Inc.
PY - 2016
Y1 - 2016
N2 - This paper examines gender differences among engineering doctorate recipients in employment in seven types of positions in a multivariate context: academic research, teaching, non-faculty academic positions; industrial research, non-research industrial positions; government research, and non-research government positions. Multinomial logistic regression analyses show gender differences in employment and highlight sex segregation in several positions, especially industrial research. Women are more likely than men to be in academic research, teaching, government research, and non-research government positions relative to industrial research. The results confirm the findings in sex segregation literature that men and women are sorted into different positions based on the status and pay of the positions but also provide new insights in the context of a highly educated engineering workforce. Limitations and policy implications are also discussed.
AB - This paper examines gender differences among engineering doctorate recipients in employment in seven types of positions in a multivariate context: academic research, teaching, non-faculty academic positions; industrial research, non-research industrial positions; government research, and non-research government positions. Multinomial logistic regression analyses show gender differences in employment and highlight sex segregation in several positions, especially industrial research. Women are more likely than men to be in academic research, teaching, government research, and non-research government positions relative to industrial research. The results confirm the findings in sex segregation literature that men and women are sorted into different positions based on the status and pay of the positions but also provide new insights in the context of a highly educated engineering workforce. Limitations and policy implications are also discussed.
KW - Academic employment
KW - Academic research
KW - Employment at the position level
KW - Engineering doctorate recipients
KW - Government employment
KW - Industrial employment
KW - Industrial research
KW - Multinomial logistic regression
KW - Sex segregation
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U2 - 10.1615/JWomenMinorScienEng.2016011999
DO - 10.1615/JWomenMinorScienEng.2016011999
M3 - Article
AN - SCOPUS:84964247612
SN - 1072-8325
VL - 22
SP - 69
EP - 89
JO - Journal of Women and Minorities in Science and Engineering
JF - Journal of Women and Minorities in Science and Engineering
IS - 1
ER -