Long-term Effects of STEM Enrichment Programs on Wage Differentials Among Under-Represented Minority Students

Authors

  • Dina Ghazzawi University of Houston
  • Donna Pattison
  • Catherine Horn

DOI:

https://doi.org/10.18060/26063

Keywords:

STEM education, racial minorities, wage earnings

Abstract

This study focuses on the increasing disparities in STEM education achievement and long-term wage earnings of under-represented minority groups. As part of national efforts to improve the diversity of the STEM workforce, this study uses longitudinal data from the University of Houston’s Education Research Center (UH-ERC) to examine the effect of participation in a STEM focused intervention program (Houston-Louis Stokes Alliance for Minority Participation) on wage earnings across students from traditionally under-represented groups. Data analysis consisted of propensity score matching analysis, followed by an ordinal logistic regression model to measure program participation effects on wage earnings. Findings indicate a significant negative association between participation in STEM intervention program and long-term wage earnings. Results highlight the role of structural racism and human capital on perpetuating achievement and wage gaps across race and socio-economic status. Recommendations focus on career-preparedness as a tool to increase the human capital of under-represented groups, and institutional shifts in policy and program components that strive to reduce the impact of structural racism on this subpopulation of students.

References

Allen-Ramdial, S. A. A., & Campbell, A. G. (2014). Reimagining the pipeline: Advancing STEM diversity, persistence, and success. BioScience, 64(7), 612-618. Doi: 10.1093/biosci/biu076

Blackburn, M. L. (2004). The role of test scores in explaining race and gender differences in wages. Economics of Education Review, 23(6), 555-576. Doi: 10.1016/j.econedurev.2004.04.005

Broyles, & Fenner, W. (2010). Race, human capital, and wage discrimination in STEM professions in the United States. International Journal of Sociology and Social Policy, 30(5/6), 251–266. https://doi.org/10.1108/01443331011054226

Grogger, J., & Eide, E. (1995). Changes in college skills and the rise in the college wage premium. Journal of Human Resources, 280-310. Doi: 10.2307/146120

Carnevale, A. P., Cheah, B., & Rose, S. J. (2011). The College pay off. Retrieved from: https://vtechworks.lib.vt.edu/bitstream/handle/10919/83051/TheCollegePayOff.pdf?sequence=1

Carpi, A., Ronan, D. M., Falconer, H. M., & Lents, N. H. (2017). Cultivating minority scientists: Undergraduate research increases self‐efficacy and career ambitions for underrepresented students in STEM. Journal of Research in Science Teaching, 54(2), 169-194. Doi: 10.1002/tea.21341

Chang, M. J., Sharkness, J., Hurtado, S., & Newman, C. B. (2014). What matters in college for retaining aspiring scientists and engineers from underrepresented racial groups. Journal of Research in Science Teaching, 51(5), 555-580. Doi: 10.1002/tea.21146

Cheeseman, J. & Martinez, A. (2021). STEM majors earned more than other STEM workers. Retrieved from https://www.census.gov/library/stories/2021/06/does-majoring-in-stem-lead-to-stem-job-after-graduation.html

Chen, X., & Soldner, M. (2013). STEM attrition: College students’ paths into and out of STEM fields (NCES 2014-001). Washington, DC: US Department of Education. National Center for Education Statistics, Institute of Education Sciences.

Coleman, J. S. (1988). Social capital in the creation of human capital. American Journal of Sociology,94,95-120.Retrievedfrom https://books.google.com/books?hl=en&lr=&id=XtrnCwAAQBAJ&oi=fnd&pg=PA57&dq=Coleman,+J.+S.+(1998).+Social+capital+in+the+creation+of+human+capital&ots=zPlt_Ykd4b&sig=PMDML7z-vNYHto4k7wdx0hbCeis#v=onepage&q&f=false

Cortes, K. E., Goodman, J. S., & Nomi, T. (2015). Intensive math instruction and educational attainment long-run impacts of double-dose algebra. Journal of Human Resources, 50(1), 108-158. Doi: 10.3368/jhr.50.1.108

Dolton, P. J., & Vignoles, A. (2002). Is a broader curriculum better? Economics of Education Review, 21(5), 415-429. Doi: 10.1016/S0272-7757(01)00046-2

Goodman, J. S. (2012). The labor of division: Returns to compulsory math coursework. HKS Faculty Research Working Paper Series. Retrieved from https://dash.harvard.edu/handle/1/9403178

Eagan Jr, M. K., Hurtado, S., Chang, M. J., Garcia, G. A., Herrera, F. A., & Garibay, J. C. (2013). Making a difference in science education: the impact of undergraduate research programs. American Educational Research Journal, 50(4), 683-713. Doi: doi.org/10.3102/0002831213482038

Estrada, M., Hernandez, P. R., & Schultz, P. W. (2018). A longitudinal study of how quality mentorship and research experience integrate underrepresented minorities into STEM careers. CBE—Life Sciences Education, 17(1), ar9. Doi: 10.1187/cbe.17-04-0066

Foltz, L. G., Gannon, S., & Kirschmann, S. L. (2014). Factors that contribute to the persistence of minority students in STEM Fields. Planning for Higher Education, 42(4), 1-13.

Ghazzawi, D., Pattison, D., & Horn, C. (2021, July). Persistence of Underrepresented Minorities in STEM Fields: Are Summer Bridge Programs Sufficient? In Frontiers in Education (Vol. 6, p. 224). Frontiers. doi: 10.3389/feduc.2021.630529

Hu, S., & Wolniak, G. C. (2010). Initial evidence on the influence of college student engagement on early career earnings. Research in Higher Education, 51(8), 750-766. Doi: 10.1007/s11162-010-9176-1

Jackson, K. M., & Winfield, L. L. (2014). Realigning the crooked room: Spelman claims a space for African American women in STEM. Peer Review: Emerging Trends and Key Debates in Undergraduate Education, 16(2), 9.

Kao, G., & Thompson, J. S. (2003). Racial and ethnic stratification in educational achievement and attainment. Annual Review of Sociology, 29(1), 417-442. Doi: 10.1146/annurev.soc.29.010202.100019

Landivar, L. C. (2013). Disparities in STEM employment by sex, race, and Hispanic origin. Education Review, 29(6), 911-922.

Leath, S., & Chavous, T. (2018). Black women’s experiences of campus racial climate and stigma at predominantly white institutions: Insights from a comparative and within-group approach for STEM and non-STEM majors. The Journal of Negro Education, 87(2), 125-139. Retrieved from https://www.jstor.org/stable/10.7709/jnegroeducation.87.2.0125

Lee, D. M., & Harmon, K. (2013). The Meyerhoff Scholars Program: Changing Minds, Transforming a Campus. Metropolitan Universities, 24(2), 55-70. Retrieved from https://journals.iupui.edu/index.php/muj/article/view/20547

Lisberg, A., & Woods, B. (2018). Mentorship, mindset and learning strategies: an integrative approach to increasing underrepresented minority student retention in a STEM undergraduate program. Journal of STEM Education, 19(3). Retrieved from https://www.learntechlib.org/p/184625/

Lysenko, T., & Wang, Q. (2020). Race/Ethnicity, Gender, and Earnings of Early Career STEM Graduates in the US. Geographical Review, 110(4), 457-484. Doi: 10.1080/00167428.2019.1708742

Malamud, O. (2011). Discovering one’s talent: Learning from academic specialization. ILR Review, 64(2), 375–405. Doi: 10.1177/001979391106400209

McGee, E. O. (2020). Interrogating structural racism in STEM higher education. Educational Researcher, 49(9), 633-644. Doi: 10.3102/0013189X20972718

Melguizo, T., Kienzl, G. S., & Alfonso, M. (2011). Comparing the educational attainment of community college transfer students and four-year college rising juniors using propensity score matching methods. The Journal of Higher Education, 82(3), 265-291. Doi: 10.1080/00221546.2011.11777202

Morrow, V. (1999). Conceptualizing social capital in relation to the well‐being of children and young people: a critical review. The Sociological Review, 47(4), 744-765. Doi: 10.1111/1467-954X.00194

National Science Foundation, National Center for Science and Engineering Statistics. 2019. Women, Minorities, and Persons with Disabilities in Science and Engineering: 2019. Special Report NSF 19-304. Alexandria, VA. Available at https://www.nsf.gov/statistics/wmpd.

National Center for Science and Engineering Statistics. (2019). Women,

minorities, and persons with disabilities in science and engineering.

https://ncses.nsf.gov/pubs/nsf19304/data

National Center for Science and Engineering Statistics. 2018. “Science and Engineering Degrees, by Race and Ethnicity of Recipients.” https://www.nsf.gov/statistics/degreerecipients/.

Olitsky, N. H. (2014). How do academic achievement and gender affect the earnings of STEM majors? A propensity score matching approach. Research in Higher Education, 55(3), 245-271. Retrieved from https://www.jstor.org/stable/24571759

Paulsen, M. B. (2001). The economics of human capital and investment in higher education. The Finance of Higher Education: Theory, Research, Policy, and Practice, 55-94. Retrieved from https://books.google.com/books?hl=en&lr=&id=9O9NBAAAQBAJ&oi=fnd&pg=PA55&dq=The+economics+of+human+capital+and+investment+in+higher+education&ots=aOTpIokMUY&sig=Q0U9b3mmuCcVH6jC2eosgb0C4BA#v=onepage&q=The%20economics%20of%20human%20capital%20and%20investment%20in%20higher%20education&f=false

Paulsen, M. B., & John, E. P. S. (2002). Social class and college costs: Examining the financial nexus between college choice and persistence. The Journal of Higher Education, 73(2), 189-236. Doi: 10.1080/00221546.2002.11777141

Perna, L. W. (2004). Understanding the decision to enroll in graduate school: Sex and racial/ethnic group differences. The Journal of Higher Education, 75(5), 487-527. Doi: 10.1080/00221546.2004.11772335

Rose, H., & Betts, J. R. (2004). The effect of high school courses on earnings. Review of Economics and Statistics, 86(2), 497-513. Doi: 10.1162/003465304323031076

Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. Doi: 10.1093/biomet/70.1.41

Tobias, J. L., & Li, M. (2003). A finite‐sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond. Journal of Applied Econometrics, 18(3), 315-336. Doi: 10.1002/jae.696

Thomas, S. L. (2000). Deferred costs and economic returns to college major, quality, and performance. Research in Higher Education, 41(3), 281-313. Doi: 10.1023/A:1007003510102

Treisman, U. (1992). Studying students studying calculus: A look at the lives of minority mathematics students in college. The College Mathematics Journal, 23(5), 362-372. Doi: 10.1080/07468342.1992.11973486

Turk-Bicakci, L., & Berger, A. (2014). Leaving STEM: STEM Ph. D. Holders in Non-STEM Careers. Issue Brief. American Institutes for Research. Retrieved from https://eric.ed.gov/?id=ED545309

Valletta, R. G. (2018). Recent flattening in the higher education wage premium: Polarization, skill downgrading, or both? In Education, skills, and technical change: Implications for future US GDP growth (pp. 313-342). University of Chicago Press. Retrieved from https://www.degruyter.com/document/doi/10.7208/9780226567945-010/html

Winship, C. & Morgan, L. (2019). The estimation of causal effects from observational data. Annual Review of Sociology, 25(1), 659-706. Doi: 10.1146/annurev.soc.25.1.659

Xu, Y. J. (2013). Career outcomes of STEM and non-STEM college graduates: Persistence in majored-field and influential factors in career choices. Research in Higher Education, 54(3), 349-382. Retrieved from https://www.jstor.org/stable/23471103

U.S. Census Bureau. (2019). 2019 American Community Survey, 1-year estimates. Retrieved from www.census.gov/programs-surveys/acs

Zambrana, R. E., Harvey Wingfield, A., Lapeyrouse, L. M., Dávila, B. A., Hoagland, T. L., & Valdez, R. B. (2017). Blatant, subtle, and insidious: URM faculty perceptions of discriminatory practices in predominantly White institutions. Sociological Inquiry, 87(2), 207-232. Doi: 10.1111/soin.12147

Zhang, L. (2008). Gender and racial gaps in earnings among recent college graduates. The Review of Higher Education, 32(1), 51-72. Doi: 10.1353/rhe.0.0035

Downloads

Published

2023-02-25