Abstract
In the field of STEM (Science, Technology, Engineering, and Mathematics), there is often a lack of diversity, whether that is across ethnicity, gender, or socioeconomic statuses. This Independent Study uses the High School Longitudinal Study of 2009 (HSLS:09) dataset to analyze a nationally representative sample of 23,503 students across the United States. Using this dataset, inspired by Ta-Yang Hsieh and Sandra Simpkins’ work, we look to identify factors that influence students pursuing STEM degrees and occupations, and which influence students pursuing further education beyond high school.
Using Exploratory Data Analysis, logistic regressions, and multinomial logistic regressions, this Independent Study highlights parental education and occupation, locale, and household income as critical factors. The findings confirm that students are positively influenced into fields of STEM not only by parents in STEM fields but also by parents with higher educational attainment. Locations like urban areas are linked to better post-secondary access, likely due to more exposure and proximity to colleges. In contrast, the rural areas faced challenges, especially in STEM exposure, due to limited resource access.
This work emphasizes the importance of targeted and personalized support, especially for specific students or areas with resource-limited backgrounds. These findings can be used to implement and improve academic and career counseling, mentor programs, and outreach programs by recruiters to foster a more inclusive and diverse field of work and study.
Advisor
Kelvey, Robert
Department
Education; Mathematics
Recommended Citation
Baumiller, Matthew Russell, "Planting the Seeds of STEM: Identifying Factors to Lead Students to Studying in Science, Technology, Engineering, and Mathematics(STEM)" (2025). Senior Independent Study Theses. Paper 11672.
https://openworks.wooster.edu/independentstudy/11672
Disciplines
Adult and Continuing Education | Higher Education and Teaching | Longitudinal Data Analysis and Time Series | Other Applied Mathematics | Other Education | Secondary Education | Statistical Methodology
Keywords
Education, STEM Education, Post-secondary Education, Logistic Regression, Multinomial Logistic Regression, Longitudinal Study
Publication Date
2025
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2025 Matthew Russell Baumiller