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LaTanya L. Dixon; Suzanne M. Dugger; Hsien-Yuan Hsu – Educational Forum, 2024
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 a student's intent to declare a STEM major in the first semester of college. The results show only student-level factors…
Descriptors: Magnet Schools, High School Students, Intention, Majors (Students)
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
Dustin B. Struble – ProQuest LLC, 2021
This study examines the effects of Jayhawks Give a Flock, a bystander education program adapted from "Bringing in the Bystander," on first-year students' intentions to intervene as bystanders and prevent sexual violence using the Theory of Planned Behavior (TPB) (Fishbein & Azjen, 1975; 2010) as a theoretical framework. This study…
Descriptors: Higher Education, College Freshmen, Behavior Standards, Social Behavior
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)
Jang, Sung Tae – American Educational Research Journal, 2018
Based on the framework of critical quantitative intersectionality, the purpose of this study is to examine the multifaceted impacts of Southeast Asian female students' race or ethnicity, gender, and socioeconomic status on math achievement score and intention to enter higher education. This study found that math achievement scores of Southeast…
Descriptors: Females, Racial Differences, Ethnicity, Gender Differences