2020
DOI: 10.1177/1069072720930658
|View full text |Cite
|
Sign up to set email alerts
|

Does More Mean Less?: Interest Surplus and the Gender Gap in STEM Careers

Abstract: The persistent gender gap in STEM (Science, Technology, Engineering, and Math) career choice represents a perplexing problem for researchers and policy makers alike. We contribute to the body of research on the gender gap in STEM careers by testing a “surplus model” of vocational interests as a predictor of STEM career choice. The model suggests that, controlling for ability, female adolescents with strong STEM-related interest should be less likely to pursue STEM careers when they also have strong interests i… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
24
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6
1
1

Relationship

2
6

Authors

Journals

citations
Cited by 20 publications
(24 citation statements)
references
References 67 publications
0
24
0
Order By: Relevance
“…Existing theories of interests and career outcomes do not offer predictions about gender moderation effects (Holland, 1997;Su et al, 2018). Nonetheless, interests may, in some cases, predict career outcomes differently depending on one's gender (Cardador et al, 2020). For example, if women are expected to have lower realistic interests due to societal gender norms, realistic interests might have less of an impact on women's career and educational choices compared to men.…”
Section: Gender Differences and Crystallized Abilitymentioning
confidence: 99%
“…Existing theories of interests and career outcomes do not offer predictions about gender moderation effects (Holland, 1997;Su et al, 2018). Nonetheless, interests may, in some cases, predict career outcomes differently depending on one's gender (Cardador et al, 2020). For example, if women are expected to have lower realistic interests due to societal gender norms, realistic interests might have less of an impact on women's career and educational choices compared to men.…”
Section: Gender Differences and Crystallized Abilitymentioning
confidence: 99%
“…Peer groups that support, advocate for, or model outstanding math and scientific performance are more likely to enrol in more math courses, have higher math and science excitement, and see themselves as future scientists [13][14][15][16][17]. While there is a continuous relationship between interaction among peers and girls' mathematical and scientific activities and attitudes in general, there is a somewhat greater connection between peers' interaction and girls' science and math activities and attitudes in particular [28][29][30][31][32]. In other words, since gender stereotypes are prominent in STEM areas, females may be more vulnerable to peer social pressures, that may prove to be damaging if compeers do not support scientific and mathematical aspirations of girls.…”
Section: Figurementioning
confidence: 99%
“…Though this investigation was unable to show how these beliefs lead to discriminatory action, it does indicate that assumptions and unconscious prejudices affect women's interest in science. It's been shown, for example, that so called masculine academic disciplines like computational sciences may discourage women because of deficiency in belonging and apparent resemblance, and that eliminating stereotypic masculinist things from computational engineering courses can truly upsurge women's curiosity in such mathematically intensive STEM subjects [31][32][33][34][35]. While there is no compelling evidence of covert discrimination in recruitment and promotion of women at large research institutions, gendered stereotypical beliefs and unspoken genderbased predispositions may discourage several young women from taking up STEM intensive professions, thereby making these sectors "male-dominated" [24][25][26][27][28][29].…”
Section: Figurementioning
confidence: 99%
See 1 more Smart Citation
“…Sampson & Hancock, 1967). Additionally, gender is a strong predictor of career outcomes and status attainment (Cardador et al, 2020;Damian et al, 2015).…”
Section: Covariatesmentioning
confidence: 99%