Reassessing the Two-Year Sector’s Role in the Amelioration of a Persistent Socioeconomic Gap: A Proposed Analytical Framework for the Study of Community College Effects in the Big and Geocoded Data and Quasi-Experimental Era

Chapter
Part of the Higher Education: Handbook of Theory and Research book series (HATR, volume 33)

Abstract

The purpose of this chapter is threefold. First, it provides a comprehensive and systematic review of extant research on the educational and occupational outcomes associated with community college attendance. This literature review prioritizes (but is not limited to) comparisons of outcomes attained by students who began college enrollment in the public two- and four-year sectors. The second purpose is to provide a critique of this line of research concerning its methodological rigor by highlighting the emergence of big and geocoded data availability and statistical applications that deal with systematic differences between two- and four-year entrants. As part of this purpose, a comprehensive and innovative analytic framework is provided for researchers and practitioners to utilize when comparing these student populations. Finally, the third purpose is to apply this analytic framework to a topic that, while timely, has remained underdiscussed in the study of two-year sector effects. Specifically, this section analyzes the influence of initial community college enrollment on undergraduate loan debt accumulation by comparing different enrollment pathways and levels of educational attainment. The chapter concludes with a discussion of challenges and opportunities in the use of big and geocoded data in higher education policy along with future and innovative lines of research that involve the use of spatial econometrics, geographical network analysis, and quasi-experimental design as means to detect structural mechanism that would enable two-year entrants to navigate college with greater likelihood of success.

Keywords

Community Colleges Undergraduate loan cost of attendance Social stratification Achievement gap Complete College America U.S. international competitiveness Social inequality Democratizing function Geographical network analysis Big and geocoded data Quasi-experimental techniques Quasi-causal estimates Data science in Higher Education Georeferenced omitted variable bias Counterfactual or potential outcomes framework Overfitting and inflated propensities 

References

  1. Alfonso, M. (2006). The impact of community college attendance on baccalaureate attainment. Research in Higher Education, 47, 873–903.  https://doi.org/10.1007/s11162-006-9019-2CrossRefGoogle Scholar
  2. American Association of Community Colleges. (2016). 2015 fact sheet. Washington, DC: AACC. Retrieved from http://www.aacc.nche.edu/AboutCC/AACCFactSheetsR2.pdf
  3. Anderson, G. M., Alfonso, M., & Sun, J. C. (2006). Rethinking cooling out at public community colleges: An examination of fiscal and demographic trends in higher education and the rise of statewide articulation agreements. Teachers College Record, 108, 422–451.  https://doi.org/10.1111/j.1467-9620.2006.00657.xCrossRefGoogle Scholar
  4. Arendale, D. R. (2011). Then and now: The early years of developmental education. Research and Teaching in Developmental Education, 58–76.Google Scholar
  5. Astin, A. W. (1985). Achieving academic excellence: A critical assessment of priorities and practices in higher education. San Francisco: Jossey-Bass.Google Scholar
  6. Barrow, L., Richburg-Hayes, L., Rouse, C. E., & Brock, T. (2014). Paying for performance: The education impacts of a community college scholarship program for low-income adults. Journal of Labor Economics, 32, 563–599.  https://doi.org/10.1086/675229CrossRefGoogle Scholar
  7. Baum, S. (2015). The evolution of student debt in the United States. In B. Hershbein & K. M. Hollenbeck (Eds.), Student loans and the dynamics of debt (pp. 11–36). Kalamazoo, MI: W.E. Upjohn Institute for Employment Research.Google Scholar
  8. Becker, G. S. (1962). Irrational behavior and economic theory. The Journal of Political Economy, 70, 1–13.  https://doi.org/10.1086/258584CrossRefGoogle Scholar
  9. Becker, S., & Ichino, A. (2002). Estimation of average treatment effects based on propensity scores. The Stata Journal, 2(4), 358–377.Google Scholar
  10. Belfield, C. (2013). Student loans and repayment rates: The role of for-profit colleges. Research in Higher Education, 54, 1–29.Google Scholar
  11. Belfield, C. R., & Bailey, T. (2011). The benefits of attending community college: A review of the evidence. Community College Review, 39(1), 46–68.CrossRefGoogle Scholar
  12. Berkner, L., Choy, S., & Hunt-White, T. (2008). Descriptive summary of 2003–04 beginning postsecondary students: Three years later (NCES 2008-174). Washington, DC: National Center for Education Statistics.Google Scholar
  13. Borman, G. D., & Dowling, N. M. (2008). Teacher attrition and retention: A meta-analytic and narrative review of the research. Review of Educational Research, 78(3), 367–409.CrossRefGoogle Scholar
  14. Bourdieu, P. (1986). The forms of capital. Handbook of theory and research for the sociology of education (pp. 241–258). Westport, CT: Greenwood.Google Scholar
  15. Bowen, N. K., & Bowen, G. L. (1999). Effects of crime and violence in neighborhoods and schools on the school behavior and performance of adolescents. Journal of Adolescent Research, 14(3), 319–342.CrossRefGoogle Scholar
  16. Brand, J. E., Pfeffer, F. T., & Goldrick-Rab, S. (2014). The community college effect revisited: The importance of attending to heterogeneity and complex counterfactuals. Sociological Science, 1, 448–465.  https://doi.org/10.15195/v1.a25CrossRefGoogle Scholar
  17. Brint, S., & Karabel, J. (1989). The diverted dream: Community colleges and the promise of educational opportunity in America, 1900–1985. New York: Oxford University Press.Google Scholar
  18. Caliendo, M., & Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, 22(1), 31–72.CrossRefGoogle Scholar
  19. Celis III, W. (1994). Fifty years later, the value of the GI bill is questioned. The New York Times. Retrieved from: http://www.nytimes.com/1994/06/22/us/50-years-later-the-value-of-the-gi-bill-is-questioned.html?pagewanted=all
  20. Chen, R., & Wiederspan, M. (2014). Understanding the determinants of debt burden among college graduates. The Journal of Higher Education, 85(4), 565–598.Google Scholar
  21. Clark, B. R. (1960a). The “cooling-out” function in higher education. American Journal of Sociology, 65, 569–576.  https://doi.org/10.1086/222787CrossRefGoogle Scholar
  22. Clark, B. R. (1960b). The open door college: A case study. New York: McGraw-Hill.Google Scholar
  23. Cohen, A. M. (1987). Facilitating degree achievement by minorities: The community college environment. Los Angeles: Educational Resources Information Center. Retrieved from http://files.eric.ed.gov/fulltext/ED283576.pdfGoogle Scholar
  24. Cohen, A. M., & Brawer, F. B. (2003). The American community college. Hoboken, NJ: Wiley.Google Scholar
  25. Coley, R. L., Kull, M., Leventhal, T., & Lynch, A. D. (2014). Profiles of housing and neighborhood contexts among low-income families: Links with children’s well-being. City, 16(1), 37.Google Scholar
  26. Cook, B. & Hartle, T.W. (2011). First in the world by 2020: What will it take? American Council on Education. Retrieved from http://www.acenet.edu/1st-by-2020.aspx
  27. Cooke, T. J., & Boyle, P. (2011). The migration of high school graduates to college. Educational Evaluation and Policy Analysis, 33(2), 202–213.Google Scholar
  28. Crisp, G. (2013). The influence of co-enrollment on the success of traditional age community college students. Teachers College Record, 115, 1–25.Google Scholar
  29. Cunningham, A. F., & Kienzl, G. S. (2011). Delinquency: The untold story of student loan borrowing. Washington, DC: Institute for Higher Education Policy.Google Scholar
  30. Dadgar, M., & Trimble, M. J. (2014). Labor market returns to sub-baccalaureate credentials: How much does a community college degree or certificate pay? Educational Evaluation and Policy Analysis, 0162373714553814.  https://doi.org/10.3102/0162373714553814
  31. Delta-Cost-Project. (2012). Delta Cost Project at American Institutes for Research. Retrieved from http://www.deltacostproject.org/delta-cost-data
  32. DeNavas-Walt, C., & Proctor, B. D. (2015). Income and poverty in the United States: 2014. US Census Bureau, Current Population Reports. Retrieved from https://www.census.gov/content/dam/Census/library/publications/2015/demo/p60-252.pdf
  33. Dietrich, C., & Lichtenberger, E. (2015). Using propensity score matching to test the community college penalty assumption. The Review of Higher Education, 38, 193–219.  https://doi.org/10.1353/rhe.2015.0013CrossRefGoogle Scholar
  34. Deming, D. J., Goldin, C., & Katz, L. F. (2011). The for-profit postsecondary school sector: Nimble critters or agile predators? (Tech. Rep.). National Bureau of Economic Research.Google Scholar
  35. Dougherty, K. J. (1992). Community colleges and baccalaureate attainment. The Journal of Higher Education, 63, 188–214.  https://doi.org/10.2307/1982159CrossRefGoogle Scholar
  36. Dougherty, K. J. (1994). The contradictory college: The conflicting origins, impacts, and futures of the community college. Albany, NY: State University of New York Press.Google Scholar
  37. Doyle, W. (2009). The effect of community college enrollment on bachelor’s degree completion. Economics of Education Review, 28, 199–206.  https://doi.org/10.1016/j.econedurev.2008.01.006CrossRefGoogle Scholar
  38. Dynarski, S. (2002). The behavioral and distributional implications of aid for college. American Economic Review, 92(2), 279–285.CrossRefGoogle Scholar
  39. Dynarski, S., & Kreisman, D. (2013). Loans for educational opportunity: Making borrowing work for today’s students.Google Scholar
  40. Fain, P. (2014). Low expectations, high stakes. InsiderHigher Education.. Retrieved from https://www.insidehighered.com/news/2014/04/07/part-time-professors-teach-most-community-college-students-report-finds
  41. Florax, R. (1992). The university: A regional booster? Economic impacts of academic knowledge infrastructure. Hants, UK: Avebury.Google Scholar
  42. Florax, R., & Folmer, H. (1992). Knowledge impacts of universities on industries: An aggregate simultaneous investment model. Journal of Regional Science, 32(4), 437–466.CrossRefGoogle Scholar
  43. Foster, S. (2000). No place to hide: Substance abuse in mid-size cities and rural America (1, b8). New York: The National Center on Addiction and Substance Abuse.Google Scholar
  44. Gandara, P., Alvarado, E., Driscoll, A., & Orfield, G. (2012). Building pathways to transfer: Community colleges that break the chain of failure for students of color. The Civil Rights Project, UCLA. Retrieved from http://files.eric.ed.gov/fulltext/ED529493.pdf
  45. Garrison, R. H. (1975). Community colleges: The literature of the two-year college. Change: The Magazine of Higher Learning, 7(3), 58–60.CrossRefGoogle Scholar
  46. Giancola, J., & Kahlenberg, R. D. (2016). True merit: Ensuring our brightest students have access to our best colleges and universities (Technical Report). Jack Kent Cooke Foundation. Retrieved from http://www.jkcf.org/assets/1/7/JKCF_True_Merit_Report.pdf
  47. Gilbert, B. A., McDougall, P. P., & Audretsch, D. B. (2008). Clusters, knowledge spillovers and new venture performance: An empirical examination. Journal of Business Venturing, 23(4), 405–422.CrossRefGoogle Scholar
  48. Gill, A. M., & Leigh, D. E. (2003). Do the returns to community colleges differ between academic and vocational programs? Journal of Human Resources, 38, 134–155.  https://doi.org/10.2307/1558759CrossRefGoogle Scholar
  49. Goldrick-Rab, S. (2010). Challenges and opportunities for improving community college student success. Review of Educational Research, 80, 437–469.  https://doi.org/10.3102/0034654310370163CrossRefGoogle Scholar
  50. Gonzalez, A., & Hilmer, M. J. (2006). The role of 2-year colleges in the improving situation of Hispanic postsecondary education. Economics of Education Review, 25, 249–257.  https://doi.org/10.1016/j.econedurev.2004.12.002CrossRefGoogle Scholar
  51. González Canché, M. S. (2012). Community colleges, catalysts for mobility or engines for inequality? Addressing selection bias in the estimation of their effects on educational and occupational outcomes. Tucson, AZ: The University of Arizona.Google Scholar
  52. González Canché, M. S. (2014a). Is the community college a less expensive path toward a bachelor’s degree? Public 2-and 4-year colleges’ impact on loan debt. The Journal of Higher Education, 85, 723–759.  https://doi.org/10.1353/jhe.2014.0026
  53. González Canché, M. S. (2014b). Localized competition in the non-resident student market. Economics of Education Review., 43, 21–35.  https://doi.org/10.1016/j.econedurev.2014.09.001
  54. González Canché, M. S. (2017a). Community college scientists and salary gap: Navigating socioeconomic and academic stratification in the U.S. higher education system. The Journal of Higher Education, 88, 1–32.  https://doi.org/10.1080/00221546.2016.1243933
  55. González Canché, M. S. (2017b). Measuring universities’ spillover effects as a mean to enhance community college students’ educational outcomes. In: Association for the study of higher education 42nd annual conference. Houston, TX.Google Scholar
  56. González Canché, M. S. (2016, June). The heterogeneous non-resident student body: Measuring the effect of out-of-state students’ home-state wealth on tuition and fee price variations. Research in Higher Education. http://link.springer.com/article/10.1007/s11162-016-9422-2
  57. González Canché, M. S. (2018). Geographical network analysis and spatial econometrics as tools to enhance our understanding of student migration patterns and benefits in the U.S. higher education network. The Review of Higher Education, 41(2), 169–216.  https://doi.org/10.1353/rhe.2018.0001
  58. Gladieux, L., & Perna, L. (2005). Borrowers who drop out: A neglected aspect of the college student loan trend. National center report# 05-2. National Center for Public Policy and Higher Education, 64.Google Scholar
  59. Gottesman, D. M., & Schwarz, S. W. (2011). Juvenile justice in the us: Facts for policymakers. Retrieved from http://www.nccp.org/publications/pdf/text_1038.pdf
  60. Grubb, W. N. (2002). Learning and earning in the middle, part I: National studies of pre-baccalaureate education. Economics of Education Review, 21, 299–232.  https://doi.org/10.1016/S0272-7757(01)00042-5CrossRefGoogle Scholar
  61. Harrell, F. (2015). Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis. Springer.Google Scholar
  62. Haskins, R., Holzer, H. J., Lerman, R. I., & Trusts, P. C. (2009). Promoting economic mobility by increasing postsecondary education. Washington, DC: Economic Mobility Project.Google Scholar
  63. Hauser, R. M. (1970). Educational stratification in the United States. Sociological Inquiry, 40(2), 102–129.  https://doi.org/10.1111/j.1475-682X.1970.tb01004.xCrossRefGoogle Scholar
  64. Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica: Journal of the Econometric Society, I, 47, 153–161. doi: https://doi.org/10.2307/1912352.
  65. Helland, P. C. (1987). Establishment of Public Junior and Community Colleges in Minnesota 1914–1983. Saint Paul, MN: Minnesota Community College System.Google Scholar
  66. Henderson, J. V. (2007). Understanding knowledge spillovers. Regional Science and Urban Economics, 37(4), 497–508.CrossRefGoogle Scholar
  67. Hill, K. L. (2010). Single mothers-how are they doing? In Allied academies international conference. Academy of organizational culture, communications and conflict. Proceedings (Vol. 15, p. 20).Google Scholar
  68. Hoachlander, G., Sikora, A. C., & Horn, L. (2003). Community college students: Goals, academic preparation, and outcomes. Education Statistics Quarterly, 5(2), 121–170.Google Scholar
  69. Hofstadter, R., & Hardy, C. D. W. (1952). The development and scope of higher education in the United States. Columbia University Press.Google Scholar
  70. Holland, P. W. (1986). Statistics and causal inference. Journal of the American Statistical Association, 81(396), 945–960.CrossRefGoogle Scholar
  71. Horn, L., & Skomsvold, P. (2011). Community college student outcomes: 1994–2009. Web tables (NCES 2012-253). Washington, DC: U.S. Department of Education, National Center for Education .Statistics Retrieved from: https://www.rti.org/CC_94-09.pdf
  72. Ingersoll, R., Merrill, L., & Stuckey, D. (2014). Seven trends: The transformation of the teaching force. Philadelphia: University of Pennsylvania.Google Scholar
  73. IPEDS. (2013). Integrated Postsecondary Education Data System (IPEDS) Survey Data files: EF2013D, HD2013, IC2013. IPEDS Data Center. Retrieved from http://nces.ed.gov/ipeds/Data.aspx
  74. IPEDS. (2014). Integrated Postsecondary Education Data System (IPEDS) Survey Data files. IPEDS Data Center. Retrieved from http://nces.ed.gov/ipeds/Data.aspx
  75. Jacobson, L., & Mokher, C. (2009). Pathways to boosting the earnings of low-income students by increasing their educational attainment. Washington, DC: The Hudson Institute Center for Employment Policy. Retrieved from http://ed.gov/ED504078.pdfGoogle Scholar
  76. Jepsen, C., Troske, K., & Coomes, P. (2012). The labor-market returns to community college degrees, diplomas, and certificates. Journal of Labor Economics, 32, 95–121.  https://doi.org/10.1086/671809CrossRefGoogle Scholar
  77. Jiang, Y., Ekono, M., & Skinner, C. (2015). Basic facts about low-income children, 2013: Children aged 12 through 17. National Center for Children in Poverty. Retrieved from http://www.nccp.org/publications/pdf/text_1099.pdf
  78. Kane, T. J., & Rouse, C. E. (1995). Labor-market returns to two-and four-year college. The American Economic Review, 85, 600–614.Google Scholar
  79. Karabel, J. (1986). Community colleges and social stratification. New Directions for Community Colleges, 1986(54), 13–30.  https://doi.org/10.1002/cc.36819865404CrossRefGoogle Scholar
  80. Kasper, H. (2003). The changing role of community college. Occupational Outlook Quarterly, 46(4), 14–21.Google Scholar
  81. Knoell, D.M., & Medsker, L.L. (1965). From junior college to senior college: A national study of the transfer student. Washington, DC: American Council on Education. Retrieved from http://files.eric.ed.gov/fulltext/ED013632.pdf
  82. Laub, J. (2014). Understanding inequality and the justice system response: Charting a new way forward (A William T. Foundation Inequality Paper). This paper is part of the Foundation’s Inequality Paper Series.Google Scholar
  83. Leigh, D., & Gill, A. (2003). Do community colleges really divert students from earning bachelor’s degrees? Economics of Education Review, 22, 23–30.  https://doi.org/10.1016/S0272-7757(01)00057-7CrossRefGoogle Scholar
  84. Lewis, D. (1973). Causation. The Journal of Philosophy, 70, 556–567.CrossRefGoogle Scholar
  85. Lin, Y., & Vogt, P. (1996). Occupational outcomes for students earning two-year college degrees: Income, status, and equity. The Journal of Higher Education, 67, 446.  https://doi.org/10.2307/2943807CrossRefGoogle Scholar
  86. Liu, Y. (2015). Geographical stratification and the role of the state in access to higher education in contemporary China. International Journal of Educational Development, 44, 108–117.CrossRefGoogle Scholar
  87. Long, B. T., & Kurlaender, M. (2009). Do community colleges provide a viable pathway to a baccalaureate degree? Educational Evaluation and Policy Analysis, 31, 30–53.  https://doi.org/10.3102/0162373708327756CrossRefGoogle Scholar
  88. Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3–42.CrossRefGoogle Scholar
  89. Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R. et al. (2013). Long-term neighborhood effects on low-income families: Evidence from moving to opportunity (Technical Report). National Bureau of Economic Research.Google Scholar
  90. Marcotte, D. E. (2010). The earnings effect of education at community colleges. Contemporary Economic Policy, 28, 36–51.  https://doi.org/10.1111/j.1465-7287.2009.00173.xCrossRefGoogle Scholar
  91. Marcotte, D. E., Bailey, T., Borkoski, C., & Kienzl, G. S. (2005). The returns of a community college education: Evidence from the national education longitudinal survey. Educational Evaluation and Policy Analysis, 27, 157–175.  https://doi.org/10.3102/01623737027002157CrossRefGoogle Scholar
  92. Maring, E. F., & Braun, B. (2006). Drug, alcohol and tobacco use in rural, low-income families: An ecological risk and resilience perspective. Journal of Rural Community Psychology, 9(2), 1–18.Google Scholar
  93. Martinez-Wenzl, M., & Marquez, R. (2012, January). Unrealized promises: Unequal access, affordability, and excellence at community colleges in Southern California. The civil rights project, University of California at Los Angeles, January 2012. Retrieved from http://escholarship.org/uc/item/23c5m52j
  94. McClenney, K. M., & Arnsparger, A. (2014). Contingent commitments bringing part time faculty into focus. Center for Community College Student Engagement. Retrieved from http://www.ccsse.org/docs/PTF_Special_Report.pdf
  95. McDonough, P. M. (2005). Counseling and college counseling in America’s high schools. State of college admission. National Association for College Admission Counseling. Retrieved from http://www.nacacnet.org/WhitePaper_McDonough.pdf
  96. McDonough, P. M., Korn, J. S., & Yamasaki, E. (1997). Access, equity, and the privatization of college counseling. The Review of Higher Education, 20, 297–317.  https://doi.org/10.1353/rhe.1997.0004CrossRefGoogle Scholar
  97. Melguizo, T. (2009). Are community colleges an alternative path for Hispanic students to attain a bachelor’s degree? The Teachers College Record, 111, 90–123.Google Scholar
  98. Melguizo, T., & Dowd, A. (2009). Baccalaureate success of transfers and rising 4-year college juniors. The Teachers College Record, 111, 55–89.Google Scholar
  99. 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, 265–291.  https://doi.org/10.1353/jhe.2011.0013CrossRefGoogle Scholar
  100. Monaghan, D. B., & Attewell, P. (2014). The community college route to the bachelor’s degree. Educational Evaluation and Policy Analysis, 0162373714521865. doi: https://doi.org/10.3102/0162373714521865
  101. MSEP. (2014). Midwest Student Exchange [MSE]. Midwest Student Exchange. Retrieved from http://msep.mhec.org/
  102. National Center for Education Statistics, U.S. Department of Education. (2013). Table 270. Percentage of first-year undergraduate students who took remedial education courses, by selected student and institution characteristics: 2003–04 and 2007. In Digest of Education Statistics 2013. Retrieved from http://nces.ed.gov/2014015.pdf
  103. NEBHED. (2014). The New England Regional Student Program [NERSP]. Western Undergraduate Exchange. Retrieved from http://www.nebhe.org/info/pdf/tuitionbreak/2012-13%20ANNUAL%20REPORT.pdf
  104. Palmer, M., Hayek, J., Hossler, D., Jacob, S. A., Cummings, H., & Kinzie, J. (2004). Fifty years of college choice: Social, political and institutional influences on the decision-making process (Lumina Foundation: New Agenda Series. Volume 5, Number 3).Google Scholar
  105. Phillippe, K., & Gonzalez Sullivan, L. (2005). National profile of community colleges: Trends & statistics. Washington, DC: Community College Press, American Association of Community Colleges.Google Scholar
  106. Pinto, M., & Mansfield, P. (2006). Financially at-risk college students: An exploratory investigation of student loan debt and prioritization of debt repayment. Journal of Student Financial Aid, 36(2), 22–32.Google Scholar
  107. Provasnik, S., & Planty, M. (2008). Community colleges: Special supplement to the condition of education 2008 (Statistical analysis report (NCES 2008-033)). Washington, DC: National Center for Education Statistics. Retrieved from http://nces.ed.gov/2008033.pdf
  108. Radford, A. W. (2009). Military service members and veterans in higher education: What the new GI Bill may mean for postsecondary institutions. Washington, DC: American Council for Education.Google Scholar
  109. Rapino, M. A., & Fields, A. K. (2013). Mega commuters in the us: Time and distance in defining the long commute using the American community survey (Technical Report). Retrieved from http://www.census.gov/newsroom/releases/pdf/paper_mega_%20commuters_us.pdf
  110. Rendón, L., Novack, V., & Dowell, D. (2005). Testing race-neutral admissions models: Lessons from California State University-Long Beach. Review of Higher Education, 28, 221–244.  https://doi.org/10.1353/rhe.2004.0038CrossRefGoogle Scholar
  111. Reynolds, C. L. (2012). Where to attend? Estimating the effects of beginning college at a two-year institution. Economics of Education Review, 31, 345–362.  https://doi.org/10.1016/j.econedurev.2011.12.001CrossRefGoogle Scholar
  112. Reynolds, C. L., & Des Jardins, S. L. (2009). The use of matching methods in higher education research: Answering whether attendance at a 2-year institution results in differences in educational attainment. In Higher education: Handbook of theory and research (pp. 47–97). New York: Springer.Google Scholar
  113. Ridgeway, G., McCaffrey, D. F., Morral, A. R., Burgette, L. F., & Griffin, B. A. (2014). Toolkit for weighting and analysis of nonequivalent groups.Google Scholar
  114. Riesman, D. (1956). Constraint and variety in American education. Lincoln, Nebraska: University of Nebraska Press.Google Scholar
  115. Roksa, J. (2006). Does the vocational focus of community colleges hinder students’ educational attainment? The Review of Higher Education, 29, 499–526.  https://doi.org/10.1353/rhe.2006.0038CrossRefGoogle Scholar
  116. Rosenbaum, J. E., Deil-Amen, R., & Person, A. E. (2007). After admission: From college access to college success. New York: Russell Sage Foundation.Google Scholar
  117. Rosenbaum, P., & Rubin, D. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41.Google Scholar
  118. Rosenblatt, P., & DeLuca, S. (2012). We don’t live outside, we live in here: Neighborhood and residential mobility decisions among low-income families. City & Community, 11(3), 254–284.CrossRefGoogle Scholar
  119. Rouse, C. E. (1995). Democratization or diversion? The effect of community colleges on educational attainment. Journal of Business & Economic Statistics, 13, 217–224.  https://doi.org/10.2307/1392376Google Scholar
  120. Rubin, D. B. (2005). Causal inference using potential outcomes. Journal of the American Statistical Association, 100(469), 322.CrossRefGoogle Scholar
  121. Sampson, R. J. (2012). Great American city: Chicago and the enduring neighborhood effect. Chicago: University of Chicago Press.CrossRefGoogle Scholar
  122. Sanchez, J. R., Laanan, F. S., & Wiseley, W. C. (1999). Postcollege earnings of former students of California community colleges: Methods, analysis, and implications. Research in Higher Education, 40, 87–113.  https://doi.org/10.1023/A:1018726428306CrossRefGoogle Scholar
  123. Sandy, J., González, A., & Hilmer, M. (2006). Alternative paths to college completion: Effect of attending a 2-year school on the probability of completing a 4-year degree. Economics of Education Review, 25, 463–471.  https://doi.org/10.1016/j.econedurev.2005.05.003CrossRefGoogle Scholar
  124. Scott-Clayton, J. (2011). On money and motivation a quasi-experimental analysis of financial incentives for college achievement. Journal of Human Resources, 46, 614–646.  https://doi.org/10.1353/jhr.2011.0013CrossRefGoogle Scholar
  125. Scrivener, S., Weiss, M. J., Ratledge, A., Rudd, T., Sommo, C. & Fresques, H. (2015). Doubling graduation rates: Three-year effects of CUNY’s accelerated study in Associate Programs (ASAP) for Developmental Education Students. MDCR. Retrieved from http://www.mdrc.org/sites/default/files/doubling_graduation_rates_fr.pdf
  126. Shear, M. D. (2010, April 9). Obama speech ties U.S. need for more college graduates to the economic recovery. Washington Post. Retrieved from http://www.washingtonpost.com/wpdyn/content/article/2010/08/09/AR2010080904278.html
  127. Simon, N. S., & Johnson, S. M. (2015). Teacher turnover in high-poverty schools: What we know and can do. Teachers College Record, 117(3), 1–36.Google Scholar
  128. Slaughter, S., & Leslie, L. (1997). Academic capitalism: Politics, policies, and the entrepreneurial university. Baltimore: The Johns Hopkins University Press.Google Scholar
  129. Slaughter, S., & Rhoades, G. (2004). Academic capitalism and the new economy. Baltimore: The Johns Hopkins University Press.Google Scholar
  130. Smart, J. C., & Ethington, C. A. (1985). Early career outcomes of baccalaureate recipients: A study of native four-year and transfer two-year college students. Research in Higher Education, 22, 185–193.  https://doi.org/10.1007/BF00974914CrossRefGoogle Scholar
  131. Smith, A. (2015, March 12). Zeroed out in Arizona. Inside Higher Ed. Retrieved from https://www.insidehighered.com/news/2015/03/12/arizona-unprecedented-defunding-community-colleges
  132. Spindt, H. A. (1957). Beginnings of the Junior College in California, 1907–1921. College and University, 33(1), 22–28.Google Scholar
  133. SREB. (2014). Southern Regional Education Board Academic Common Market [SREBAC]. Southern Regional Education Board. Retrieved from http://home.sreb.org/acm/choosestate.aspx
  134. Stephan, J. L., Rosenbaum, J. E., & Person, A. E. (2009). Stratification in college entry and completion. Social Science Research, 38, 572–593.  https://doi.org/10.1016/j.ssresearch.2009.02.001CrossRefGoogle Scholar
  135. Townsend, B. K. (1999). Two-year colleges for women and minorities: Enabling access to the baccalaureate. New York: Falmer Press.Google Scholar
  136. Turley, R. N. L. (2009). College proximity: Mapping access to opportunity. Sociology of Education, 82(2), 126–146.CrossRefGoogle Scholar
  137. Turner, S., & Bound, J. (2003). Closing the gap or widening the divide: The effects of the GI Bill and World War II on the educational outcomes of black Americans. The Journal of Economic History, 63(01), 145–177.CrossRefGoogle Scholar
  138. U.S. Department of Agriculture Economic Research Service. (2013). Codes, rural-urban continuum. US Department of Agriculture. Retrieved from http://www.ers.usda.gov/data-products/rural-urban-continuum-codes.aspx
  139. U.S. Department of Education. (2015). Budget fact sheet 2016. Retrieved from http://www2.ed.gov/budget.pdf
  140. United States Census Bureau Population Estimates. (2014). State-to-State Migration Flows 2004-05. The United States Census Bureau. Retrieved from https://www.census.gov/popest/data/historical/2000s/vintage_2005/index.html
  141. Vaughan, G. B. (1995). The community college story: A tale of American innovation. Washington, DC: The American Association of Community Colleges.Google Scholar
  142. Wallsten, S. J. (2001). An empirical test of geographic knowledge spillovers using geographic information systems and firm-level data. Regional Science and Urban Economics, 31(5), 571–599.CrossRefGoogle Scholar
  143. Wang, X. (2014). Pathway to a baccalaureate in STEM fields: Are community colleges a viable route and does early STEM momentum matter? Educational Evaluation and Policy Analysis, doi:0162373714552561. doi: https://doi.org/10.3102/0162373714552561.
  144. Wang, X., & Wickersham, K. (2014). Postsecondary co-enrollment and baccalaureate completion: A look at both beginning 4-year college students and baccalaureate aspirants beginning at community colleges. Research in Higher Education, 55, 166–195.  https://doi.org/10.1007/s11162-013-9317-4CrossRefGoogle Scholar
  145. What Works Clearinghouse. (2014). Procedures and standards handbook version 3.0. Institute of Education Sciences, What Works Clearinghouse, U.S. Department of Education. Retrieved from http://ies.ed.gov/wwc_procedures_v3_0_standards_handbook.pdf
  146. Whitaker, D. G., & Pascarella, E. T. (1994). Two-year college attendance and socioeconomic attainment: Some additional evidence. The Journal of Higher Education, 65, 194–210.Google Scholar
  147. WICHE. (2014). Western Undergraduate Exchange [WUE]. Western Undergraduate Exchange. Retrieved from http://wue.wiche.edu/search1.jsp
  148. Zhang, L., & Ness, E. (2010). Does state merit-based aid stem brain drain? Educational Evaluation and Policy Analysis, 32(2), 143–165.Google Scholar
  149. Zhao, L. C., Liang, J., Li, W., Cheng, K. M., Xia, X., Deng, X., et al. (2011). The use of response surface methodology to optimize the ultrasound-assisted extraction of five anthraquinones from Rheum palmatum L. Molecules, 16(7), 5928–5937.CrossRefGoogle Scholar
  150. Zook, G. F. (1947). Higher education for American democracy (Report of the Commission on Higher Education, Six volumes). Washington, DC: Government Printing Office. Retrieved from http://hdl.handle.net/2027/uc1.31158001076040

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© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of PennsylvaniaPhiladelphiaUSA

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