Committed to STEM? Examining Factors that Predict Occupational Commitment among Asian and White Female Students Completing STEM U.S. Postsecondary Programs.

Although it is well known that women have relatively high rates of attrition from STEM occupations in the United States, there is limited empirical research on the views and experiences of female STEM degree-earners that may underlie their commitment to their chosen fields. Utilizing survey data from 229 women completing STEM degrees at two U.S. universities, the present study examines how perceptions of occupational affordances and interactions with others in the field predict their occupational STEM commitment. Additionally, the study employs an intersectional lens to consider whether the patterns of association are different for Asian women and White women. Multivariate regression analyses reveal that although communal goal affordances do not significantly predict women's occupational STEM commitment, agentic goal affordances are a strong predictor of such commitment. Regarding experiences with others in the field, results reveal that classmate interactions are not associated with STEM commitment, whereas positive faculty interactions do significantly predict such commitment. However, further analyses reveal racial differences in these patterns because agentic goal affordances are much weaker predictors of occupational STEM commitment for Asian women than for White women, and results indicate that faculty interactions are significant predictors of STEM commitment only for White women. Thus, our results strongly suggest that the theoretical models of motivation and support that underlie much of the discussion around women in STEM do not similarly apply to women from all racial backgrounds and that more research is needed that considers how both gender and race simultaneously shape STEM engagement and persistence.

Gender, Competitiveness, and Intentions to Pursue STEM fields.

Building on the insights of gender theorists as well as a small body of emerging quantitative research, the authors examine whether and how students' self-perceptions of competitiveness are related to gendered patterns of future STEM expectations among a sample of U.S. high school students. Results of regression analyses reveal that female students' relatively lower self-perceptions of competitiveness (compared to male students) significantly contribute to their lower expectation of majoring in two historically male-dominated fields, physical science and engineering. Additional results revealed an interaction between gender and competitiveness for expectations to major in computer science, such that while girls' expectations significantly increase with their perceptions of competitiveness, boys' decisions to pursue computer science are unrelated to such perceptions.