Abstract
In the United States, education policy calls for every student to graduate from high school prepared for college and a career. National legislation has mandated programs of study (POS), which offer aligned course sequences spanning secondary and postsecondary education, blending standards-based academic and career and technical education (CTE) content and often including work-based learning opportunities. This study examined the effects of these career-themed POS on high school achievement outcomes in the United States. We used structural equations and an instrumental variable approach to test the effects of POS enrollment and participation in CTE course sequences on GPA and graduation. Results indicated that POS enrollment improved students’ probability of graduation by 11.3 % and that each additional CTE credit earned in POS increased their probability of graduation by 4 %. There were non-significant effects for high school GPA. These findings suggest that POS benefited students in terms of retention at no cost to their achievement.
Similar content being viewed by others
Notes
All names are pseudonyms.
Note that the estimated associations of gender and IEP with POS enrollment are no longer significant once the nested structure of the data is taken into account using the complex sampling function in MPlus 7.11.
These are the key specifications that enable the SEM to produce instrumental variable estimates. This accomplishes the same thing as two-stage least squares (2SLS).
References
Achieve, I. (2010). Closing the expectations gap: fifth annual 50-state progress report on the alignment of high school policies with the demands of college and careers. Washington, DC: Author.
Allen, J., & Sconing, J. (2005). Using ACT assessment scores to set benchmarks for college readiness. Iowa City: Author.
Angrist, J. D., & Krueger, A. B. (2001). Instrumental variables and the search for identification: from supply and demand to natural experiments. Journal of Economic Perspectives, 15(4), 69–85.
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996). Identification of causal effects using instrumental variables. Journal of the American Statistical Association, 91, 444–455.
Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010). On making causal claims: a review and recommendations. The Leadership Quarterly, 21, 1086–1120.
Association for Career and Technical Education. (2010). What is Career Ready. Retrieved May 26, 2016 from https://www.acteonline.org/WorkArea/DownloadAsset.aspx?id=2114.
Bitterman, A., Gray, L., & Goldring, R. (2013). Characteristics of public and private elementary and secondary schools in the United States: Results from the 2011–2012 Schools and Staffing Survey (NCES 2013–312). U.S. Department of Education. Washington, DC: National Center for Education Statistics. Retrieved May 26, 2016 from http://nces.ed.gov/pubsearch.
Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley. PMCid: PMC1133599.
Bottoms, J. E., & Sundell, K. E. (2015). Credentials for all: an imperative for SREB states. Atlanta: Southern Regional Education Board.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Beverly Hills: Sage.
Byrne, B. M. (2001). Structural equation modeling with AMOS: basic concepts, applications, and programming. Mahwah: Lawrence Erlbaum Associates.
Carl D. (2006). Perkins Career and Technical Education Improvement Act of 2006. Pub L. No. 109–270.
Carnevale, A. P., Smith, N., & Strohl, J. (2013). Recovery: job growth and education requirements through 2020 – state report. Washington, DC: Georgetown University Center on Education and the Workforce.
Castellano, M., Sundell, K. E., Overman, L. T., Richardson, G. B., & Stone III, J. R. (2014). Rigorous tests of student outcomes in CTE programs of study: final report. Louisville: National Research Center for Career and Technical Education, University of Louisville.
ConnectEd. (n.d.). Essential Elements of High Quality Linked Learning Pathways. Retrieved January 9, 2016 from http://connectedcalifornia.org/linked_learning/essential_elements.
Council of Chief State School Officers. (2014). Opportunities and options: making career preparation work for students. Washington, DC: Author.
Dunning, T. (2012). Natural experiments in the social sciences: a design-based approach. Cambridge University Press.
Edmunds, J. (2015). Smoothing the way to college: impact of early college high schools. Greensboro: SERVE Center, the University of North Carolina at Greensboro Retrieved May 26, 2016 from http://ncnewschools.org/wp-content/uploads/2015/05/SERVE-ECHS-Smoothing_the_way_to_college.pdf.
Elliot, M. N., Hanser, L. M., & Gilroy, C. L. (2000). Evidence of positive student outcomes in ROTC career academies. Santa Monica: RAND.
Enders, C. K. (2010). Applied missing data analysis. New York: Guilford Press.
Fernandez, F., & Sun, J. (2015). Transforming the American high school experience: NAF’s four-year graduation rates from Broward County public schools, Florida; Miami-Dade public schools, Florida; and Porterville unified School District, California. Fairfax: ICF International.
French, M. T., & Popovici, I. (2011). That instrument is lousy! In search of agreement when using instrumental variables estimation in substance use research. Health Economics, 20(2), 127–146.
Gennetian, L. A., Bos, J. M., & Morris, P. A. (2002). Using instrumental variables analysis to learn more from social policy experiments. New York: MDRC Retrieved June 6, 2016 from http://www.mdrc.org/sites/default/files/full_599.pdf.
Greenland, S. (2000). An introduction to instrumental variables for epidemiologists. International Journal of Epidemiology, 29, 722–729 Erratum 29, 1102.
Grubb, N. W., & Oakes, J. (2007). Restoring value to the high school diploma: the rhetoric and practice of higher standards. Tempe, AZ and Boulder: Education and the Public Interest Center, Arizona State University and the Educational Policy Research Unit, University of Colorado at Boulder.
Guha, R., Adelman, N., Arshan, N., Bland, J., Caspary, K., Padilla, C., Patel, D., Tse, V., Black, A., & Biscocho, F. (2014a). Taking stock of the California linked Learning District initiative: fourth-year evaluation report. Menlo Park: SRI International.
Guha, R., Caspary, K., Stites, R., Padilla, C., Arshan, N., Park, C., Tse, V., Astudillo, S., Black, A., & Adelman, N. (2014b). Taking stock of the California linked Learning District initiative: fifth-year evaluation report. Menlo Park: SRI International.
Haxton, C., Song, M., Zeiser, K., Berger, A., Turk-Bicakci, L., Garet, M. S., et al. (2016). Longitudinal findings from the early college high school initiative impact study. Educational Evaluation and Policy Analysis, 38, 410–430.
Hayward, B. J., & Tallmadge, G. K. (1985). Strategies for keeping kids in school: evaluation of dropout prevention and reentry projects in vocational education: final report. Washington DC: U. S. Department of Education.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. doi:10.1080/10705519909540118.
Institute for a Competitive Workforce (2008). The skills imperative, how career and technical education can solve the U.S. talent shortage. Washington, DC: Author.
Kemple, J. J., & Rock, J. L. (1996). Career academies: early implementation lessons from a 10-site evaluation. New York: MDRC.
Kemple, J. J., & Snipes, J. C. (2000). Career academies: impacts on students’ engagement and performance in high school. New York: MDRC.
Kemple, J. J., & Willner, J. (2008). Career academies: long-term impacts on labor market outcomes, educational attainment, and transitions to adulthood. New York: MDRC.
Kline, R. B. (2010). Principles and practice of structural equation modeling (3rd ed.). New York: The Guilford Press.
Little, R. J. A., & Rubin, D. B. (2002). Statistical analysis with missing data (2nd ed.). New York: John Wiley.
Maxwell, N. L., & Rubin, V. (2000). High school career academies: A pathway to educational reform in urban school districts?. WE Upjohn Institute.
McPartland, J. M., Balfanz, R., Jordan, W. J., & Legters, N. E. (1998). Improving climate and achievement in a troubled urban high school through the talent development model. Journal of Education for Students Placed at Risk, 3, 337–361.
Muthén, B. O., du Toit, S. H. C., & Spisic, D. (1997). Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes. Unpublished manuscript. Retrieved July 2, 2014 from http://pages.gseis.ucla.edu/faculty/muthen/articles/Article_075.pdf.
NCAC. (n.d.). Retrieved December 1, 2015, from http://www.ncacinc.com/
National Governors Association (2014). America works: education and training for tomorrow’s jobs. Washington, DC: Author.
National Research Council. (2012). Education for life and work: developing transferable knowledge and skills in the twenty-first century. Washington, DC: Author. Retrieved July 2, 2014 from http://nap.edu/catalog.php?record_id=13398.
Paas, F., & Sweller, J. (2012). An evolutionary upgrade of cognitive load theory: using the human motor system and collaboration to support the learning of complex cognitive tasks. Educational Psychology Review, 24(1), 27–45.
Partnership for twenty-first Century Skills. (2009). P21 framework definitions. Washington, DC: Author.
Powell, A. G., Farrar, E., & Cohen, D. K. (1985). The shopping mall high school: winners and losers in the educational marketplace. Boston: Houghton Mifflin.
Reller, D. (1984). The peninsula academies: final technical evaluation report. Palo Alto: American Institutes for Research.
Reller, D. (1987). A longitudinal study of the graduates of the peninsula academies, final report. Palo Alto: American Institutes for Research in the Behavioral Sciences.
Resnick, L. B. (1987). Learning in school and out. Educational Researcher, 16(9), 13–20.
Richardson, G. B., Castellano, M. E., Stone, J. R., & Sanning, B. K. (2016). Ecological and evolutionary principles for secondary education: analyzing career and tech Ed. Evolutionary Psychological Science, 2(1), 58–69.
Schafer, J. L. (1997). Analysis of incomplete multivariate data. London: Chapman and Hall / CRC Press.
Southern Regional Education Board. (2010). Reporting on college readiness: Information that connects colleges and schools. Atlanta: Author.
Stern, D., Dayton, C., Paik, I. W., & Weisberg, A. (1989). Benefits and costs of dropout prevention in a high school program combining academic and vocational education: third-year results from replications of the California peninsula academies. Educational Evaluation and Policy Analysis, 11, 405–416.
Stern, D., Raby, M., & Dayton, C. (1992). Career academies: partnerships for reconstructing American high schools. San Francisco: Jossey-Bass.
Stern, D., Wu, C., Dayton, C., & Maul, A. (2007). Learning by doing career academies. In D. Neumark (Ed.), Improving school-to-work transitions (pp. 134–168). New York: Russell Sage Foundation.
Stone III, J. R., & Lewis, M. V. (2012). College and career ready in the twenty-first century: making high school matter. New York: Teachers College Press.
U. S. Department of Education, Office of Vocational and Adult Education (2010). Programs of study design framework. Washington, DC: Author.
U. S. Department of Education. (2013). Washington, DC: National Center for Education Statistics. Retrieved on July 1, 2014 from http://nces.ed.gov/pubs2013/2013001.pdf.
U.S. Department of Education, Office of Career, Technical, and Adult Education (2015). The evolution and potential of career pathways. Washington, D.C.: Author.
U.S. Department of Education, U.S. Department of Health and Human Services, and U.S. Department of Labor (2012). Joint letter and guiding principles for developing comprehensive career pathways systems. Washington, DC: Authors.
Warner, M., Caspary, K., Arshan, N., Stites, R., Padilla, C., Park, C., Patel, D., Wolf, B., Astudillo, S., Harless, E., Ammah-Tagoe, N., McCracken, M., & Adelman, N. (2015). Taking stock of the California linked Learning District initiative. Sixth-year evaluation report. Menlo Park: SRI International.
Workforce Innovation and Opportunity. (2014). Act of 2014. Pub L. 113–128.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Funding
The work reported herein was supported under the National Research Center for Career and Technical Education, PR/Award (No. VO51A070003) as administered by the Office of Career, Technical, and Adult Education, U.S. Department of Education.
However, the contents do not necessarily represent the positions or policies of the Office of Career, Technical, and Adult Education or the U.S. Department of Education and you should not assume endorsement by the Federal Government.
Rights and permissions
About this article
Cite this article
Castellano, M.E., Richardson, G.B., Sundell, K. et al. Preparing Students for College and Career in the United States: the Effects of Career-Themed Programs of Study on High School Performance. Vocations and Learning 10, 47–70 (2017). https://doi.org/10.1007/s12186-016-9162-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12186-016-9162-7