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Joseph R. Cimpian; Jo R. King – Grantee Submission, 2024
Men significantly outnumber women in physics, engineering, and computer science (PECS) majors, with a recent male-to-female ratio of approximately 4:1, a stark contrast to the near parity in other science, technology, engineering, and mathematics (STEM) disciplines (1). This gender disparity in PECS carries wide-reaching implications for equity,…
Descriptors: Gender Differences, Physics, Engineering Education, Computer Science Education
Eric Grodsky; Catherine Doren; Koit Hung; Chandra Muller; John Robert Warren – Grantee Submission, 2021
We ask whether patterns of racial/ethnic and socioeconomic stratification in educational attainment are amplified or attenuated when we take a longer view of educational careers. We propose a model of "staged advantage" to understand how educational inequalities evolve over the life course. Distinct from cumulative advantage, staged…
Descriptors: Socioeconomic Background, Sociocultural Patterns, Social Stratification, Advantaged
Dixon, LaTanya L.; Dugger, Suzanne M.; Hsu, Hsien-Yuan – Grantee Submission, 2020
This study employed design-based logistic regression to examine the extent to which attending a science, technology, engineering, and mathematics (STEM) magnet high school, school demographics, and student-level factors explain racial/ethnic differences in a student's intent to declare a STEM major in the first semester of college. Data were drawn…
Descriptors: Magnet Schools, High School Students, Intention, Majors (Students)