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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)
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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
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)
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Kurban, Elizabeth R.; Cabrera, Alberto F. – Journal of Higher Education, 2020
Building on Social Cognitive Career Theory and Xueli Wang's conceptual model of STEM choice, this study advances and tests a model seeking to understand STEM readiness and intention to pursue STEM fields among a representative national sample of 9th grade students drawn from the High School Longitudinal Study of 2009. Structural equation model…
Descriptors: High School Students, Learning Readiness, Majors (Students), Career Choice
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Vaval, Luronne; Bowers, Alex J.; Snodgrass Rangel, Virginia – Science Education, 2019
Abstract The purpose of this study is to investigate the extent that there is a typology of high schools based on their orientation toward science, technology, engineering, and mathematics (STEM), as well as the extent to which school-level demographic variables and student high school outcomes are associated with subgroup membership in the…
Descriptors: High School Students, High Schools, STEM Education, Longitudinal Studies
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Holian, Laura; Kelly, Emily – National Center for Education Statistics, 2020
This Statistics in Brief provides information about the occupational expectations of high school freshmen in 2009 and how their expectations changed (or did not) by the spring of 2012. The focus is on expectations for a career in a Science, Technology, Engineering, and Mathematics (STEM) field, defined in this report as science, technology,…
Descriptors: STEM Education, Occupational Aspiration, High School Freshmen, Student Attitudes
Radford, Alexandria Walton; Ifill, Nicole – National Association for College Admission Counseling, 2020
This report analyzes new, nationally representative data from the High School Longitudinal Study of 2009 (HSLS:09). Part I of this report examines what high schools are doing to help students transition to postsecondary education. Broadly, it examines college-level course offerings; counselors' time, attitudes and actions; and students'…
Descriptors: College Readiness, Courses, Counselor Role, Counselor Attitudes