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Research in Higher Education

, Volume 54, Issue 7, pp 781–804 | Cite as

Creating College Opportunity: School Counselors and Their Influence on Postsecondary Enrollment

Article

Abstract

School counselors are the primary facilitators of college transition for many students, yet little is known about their influence on college-going behavior. Analyzing data from the Educational Longitudinal Study of 2002, this study employs coarsened exact matching and multilevel modeling to examine the effects of student-counselor visits on postsecondary enrollment, as well as determine whether the effects of such visits vary by socioeconomic background. Results suggest that visiting a counselor for college entrance information has a positive and significant influence on students’ likelihood of postsecondary enrollment, and that counseling-related effects are greatest for students with low socioeconomic status.

Keywords

School counseling Postsecondary enrollment Low-SES Coarsened exact matching 

Notes

Acknowledgments

This research was supported by a grant from the American Educational Research Association which receives funds for its “AERA Grants Program” from the National Science Foundation under Grant #DRL-0941014. Opinions reflect those of the author and do not necessarily reflect those of the granting agencies. The author gratefully acknowledges the support and suggestions of James Hearn, Erik Ness, Manuel González Canché, Sheila Slaughter, Michael Trivette, the editor, anonymous reviewers and the Abington School District (PA).

References

  1. Adelman, C. (2006). The toolbox revisited: Paths to degree completion from high school through college. Washington, DC: U.S. Department of Education.Google Scholar
  2. Allison, P. (2000). Multiple imputation for missing data: A cautionary tale. Sociological Methods and Research, 28(3), 301–309.Google Scholar
  3. Allison, P. (2002). Missing data. Thousand Oaks, CA: Sage.Google Scholar
  4. Allison, P. (2012). Handling missing data by maximum likelihood. Haverford, PA: Sage. (Presented at the SAS Global Forum).Google Scholar
  5. Alon, S., & Tienda, M. (2007). Diversity, opportunity and the shifting meritocracy in higher education. American Sociological Review, 78(4), 294–315.Google Scholar
  6. American School Counslor Association. (2005). The ASCA National Model: A Framework for School Counseling Programs. Alexandria, VA.Google Scholar
  7. Attewell, P., & Domina, T. (2008). Raising the bar: Curricular intensity and academic performance. Educational Evaluation and Policy Analysis, 30(1), 51–71.Google Scholar
  8. Aud, S., KewalRamani, A., & Frolich, L. (2011). America’s youth: Transitions into adulthood (NCES 2012-026). Washington, DC: U.S. Department of Education, National Center for Education Statistics.Google Scholar
  9. Avery, C., & Kane, T. J. (2004). Student perceptions of college opportunities. The Boston COACH program. In C. Hoxby (Ed.), College choices: The economics of where to go, when to go, and how to pay for it (pp. 355–394). University of Chicago Press.Google Scholar
  10. Baker, S. (2001). Reflections on forty years in the school counseling profession: Is the glass half full or half empty? Professional School Counseling, 5(2), 75–83.Google Scholar
  11. Baraldi, A., & Enders, C. (2010). An introduction to modern missing data analyses. Journal of School Psychology, 48(1), 5–37.Google Scholar
  12. Battistin, E., & Chesher, A. (2004). The impact of measurement error on evaluation methods based on strong ignorability. London: Institute for Fiscal Studies.Google Scholar
  13. Beattie, I. (2002). Are all adolescent econometricians created equal? Racial, class, and gender differences in college enrollment. Sociology of Education, 75(1), 19–43.Google Scholar
  14. Becker, G. (1993). Human capital: A theoretical and empirical analysis, with special reference to education. Chicago, IL: University of Chicago Press.Google Scholar
  15. Beesley, D. (2004). Teachers’ perceptions of school counselor effectiveness: Collaborating for student success. Education, 125(2), 259.Google Scholar
  16. Bettinger, E., Long, B., Oreopoulos, P., & Sanbonmatsu, L. (2009). The role of simplification and information in college decisions: Results from the H&R Block FAFSA experiment (NBER Working Paper No. 15361). Cambridge, MA: National Bureau of Economic Research.Google Scholar
  17. Blackwell, M., Iacus, S., King, G., & Porro, G. (2009). cem: Coarsened exact matching in stata. Stata Journal, 9(4), 524–546.Google Scholar
  18. Bourdieu, P., & Passeron, J. (1977). Reproduction in education, society and culture. London: Sage Publications.Google Scholar
  19. Bourdieu, P., & Wacquant, L. (1992). An invitation to reflexive sociology. Chicago: University of Chicago Press.Google Scholar
  20. Bozick, R., & DeLuca, S. (2005). Better late than never? Delayed enrollment in the high school to college transition. Social Forces, 84, 531–554.Google Scholar
  21. Bridgeland, J., & Bruce, M. (2011). 2011 National Survey of School Counselors: Counseling at a Crossroads. Washington, DC: The College Board National Office for School Counselor Advocacy.Google Scholar
  22. Brown, D., & Trusty, J. (2005). School counselors, comprehensive school counseling programs, and academic achievement: Are school counselors promising more than they can deliver?. Professional School Counseling, 9(1), 1–8.Google Scholar
  23. Bryan, J., Holcomb, C., Moore, C., & Day, N. (2011). School counselors as social capital: The effects of high school college counseling on college application rates. Journal of Counseling and Development, 89, 190–199.Google Scholar
  24. Cabrera, A. (1994). Logistic regression analysis in higher education: An applied perspective. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 10, pp. 225-256). New York: Agathon Press.Google Scholar
  25. Cabrera, A., & La Nasa, S. (2001). On the path to college: Three critical tasks facing America’s disadvantaged. Research in Higher Education, 42(2), 119–149.Google Scholar
  26. Carnevale, A., & Strohl, J. (2010). How increasing access is increasing inequality in postsecondary education. In R. Kahlenberg (Ed.), Rewarding the Strivers: Helping Low Income Students Succeed In College (pp. 225-256). New York: Century Foundation.Google Scholar
  27. Catsiapis, G. (1987). A model of educaional investment decisions. Review of Economics and Statistics, 69, 33–41.Google Scholar
  28. Cheng, S., & Long, J. (2007). Testing for IIA in the multinomial logit model. Sociological Methods & Research, 35(4), 583–600.Google Scholar
  29. Choy, S. (2001). Students whose parents did not go to college: Postsecondary access, persistence,and attainment (NCES 2001-126). Washington, DC: U.S. Department of Education.Google Scholar
  30. Clinedinst, M., Hurley, S., & Hawkins, D. (2011). State of college admission 2011. Washington, DC: National Association for College Admission.Google Scholar
  31. Coleman, J., & Hoffer, T. (1987). Public and private high schools: The impact of communities. New York, NY: Basic Books.Google Scholar
  32. Coleman, J. C. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, 95–120.Google Scholar
  33. Conley, D. (2005). College knowledge: What it really takes for students to succeed and what we can do to get them ready. San Francisco: Jossey-Bass.Google Scholar
  34. Dahir, C. (2004). Supporting a nation of learners: The role of school counseling in educational reform. Journal of Counseling & Development, 82(3), 344–353.Google Scholar
  35. Deil-Amen, R. & Tevis, T.L. (2010). Circumscribed agency: The relevance of standardized college entrance exams for low-SES high school students. The Review of Higher Education, 33(2), 141–175.Google Scholar
  36. DesJardins, S., & Toutkoushian, R. (2005). Are students really rational? The development of rational thought and its application to student choice. In J. C. Smart (Ed.), Higher Education: Handbook of Theory and Research (Vol. 20, pp. 191-240). Dordrecht, The Netherlands: Kluwer Academic Publishers.Google Scholar
  37. Doyle, W. (2009). The effect of community college enrollment on bachelor’s degree completion. Economics of Education Review, 28(2), 199–206.Google Scholar
  38. Eccles, J., Vida, M., & Barber, B. (2004). The relation of early adolescents’ college plans and both academic ability and task value beliefs to subsequent college enrollment. Journal of Early Adolescence, 24, 63–77.Google Scholar
  39. Elwood, D., & Kane, T. (2000). Who is getting a college education? Family background and growing gaps in enrollment. In S. Danziger & J. Waldfogel (Eds.), Securing the Future (pp. 283-324). New York: Russel Sage Foundation.Google Scholar
  40. Enders, C. (2001). The impact of nonnormality of full information maximum likelihood estimation for structural equation models with missing data. Psychological Methods, 6(4), 352–370.Google Scholar
  41. Enders, C. (2010). Applied missing data analysis. New York: The Guilford Press.Google Scholar
  42. Engberg, M., & Wolniak, G. (2010). Examining the effects of high school context on postsecondary enrollment. Research in Higher Education, 51(2), 132–153.Google Scholar
  43. Espenshade, T., & Radford, A. (2009). No longer separate, not yet equal: Race and class in elite college admission and campus life. Princeton, NJ: Princeton University Press.Google Scholar
  44. Freeman, K. (1997). Increasing African Americans participation in higher education: African American high school student perspectives. Journal of Higher Education, 68(5), 523–550.Google Scholar
  45. Glick, J., & White, M. (2004). Postsecondary school participation of immigrant and native youth: The role of familial resources and educational expectations. Social Science Research, 33(2), 272–299.Google Scholar
  46. Goldrick-Rab, S. (2006). Following their every move: How social class shapes postsecondary pathways. Sociology of Education, 79, 61–79.Google Scholar
  47. Granovetter, M. (1973). The strength of the weak ties. American Journal of Sociology, 78, 1360–1380.Google Scholar
  48. Granovetter, M. (1983). The strength of the Weak Ties: Revisited. Sociological Theory, 1, 201–233.Google Scholar
  49. Greene, W. (2011). Econometric analysis (7th edition). Upper Saddle River, NJ: Prentice Hall.Google Scholar
  50. Grodsky, E. & Jones, M.T. (2004). Real and imagined barriers to college entry: Perceptions of Cost. Social Science Research, 36, 645–766.Google Scholar
  51. Gysbers, N. (2004). Comprehensive guidance and counseling programs: The evolution of accountability. Professional School Counseling, 8, 1–14.Google Scholar
  52. Hausman, J., & McFadden, D. (1984). Specification tests for the multinomial logit model. Econometrica: Journal of the Econometric Society, 52(5), 1219–1240.Google Scholar
  53. Hearn, J. (1991). Academic and nonacademic influences on the college destinations of 1980 high school graduates. Sociology of Education, 63(4), 158–171.Google Scholar
  54. Heller, D. (1999). The Effects of Tuition and State Financial Aid on Public College Enrollment. The Review of Higher Education, 23, 65–89.Google Scholar
  55. Hill, L. (2008). School strategies and the ’college-linking’ process: Reconsidering the effects of high schools on college enrollment. Sociology of Education, 81(1), 53–76.Google Scholar
  56. Holcomb-McCoy, C. (2010). Involving low-income parents of color in college-readines activities: An exploratory study. Professional School Counseling, 14(1), 115–124.Google Scholar
  57. Horn, L., Chen, X., & Chapman, C. (2003). Getting ready to pay for college: What students and their parents know about the cost of college tuition and what they are doing to find out. Washington, DC: US Department of Education.Google Scholar
  58. Horvat, E. (2001). Understanding equity and access in higher education: The potential contribution of Pierre Bourdieu. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 16, pp. 195-238). New York: Agathon Press.Google Scholar
  59. Hosmer, D. W., & Lemeshow, S. (1989). Applied logistic regression. New York: Wiley.Google Scholar
  60. Hossler, D., & Gallagher, K. (1987). Studying student college choice: A three-phase model and the implications for policymakers. College and University, 62(3), 207–221.Google Scholar
  61. Hossler, D., Schmit, J., & Vesper, N. (1999). Going to college: How social, economic, and educational factors influence the decisions students make. Baltimore, MD: Johns Hopkins University Press.Google Scholar
  62. House, R., & Hayes, R. (2002). School counselors: Becoming key players in school reform. Professional School Counseling, 5(4), 249–56.Google Scholar
  63. Iacus, S., & King, G. (2012). How coarsening simplifies matching-based causal inference theory. (Working Paper (available at http://gking.harvard.edu/publications)).
  64. Iacus, S., King, G., & Porro, G. (2011). Multivariate matching methods that are monotonic imbalance bounding. Journal of the American Statistical Association, 106(493), 345361.Google Scholar
  65. Iacus, S., King, G., & Porro, G. (2012). Causal inference without balance checking: Coarsened exact matching. Journal of Political Analysis, 120(1), 1–24.Google Scholar
  66. Kim, D., & Schneider, B. (2005). Social capital in action: Alignment of parental support in adolescents’ transition to postsecondary education. Social Forces, 84(2), 1181–1206.Google Scholar
  67. King, J. (1996). The decision to go to college. Attitudes and experiences associated with college attendance among low-income students. New York: The College Board.Google Scholar
  68. Lamont, M., & Lareau, A. (1988). Cultural capital: Allusions, gaps and glissandos in recent theoretical developments. Sociological Theory, 6(2), 153–168.Google Scholar
  69. Lapan, R., Gysbers, N., & Sun, Y. (1997). The impact of more fully implemented guidance programs on the school experiences of high school students: A statewide evaluation study. Journal of Counseling and Development, 75(4), 292–302.Google Scholar
  70. Lee, J., Edwards, K., Menson, R., & Rawls, A. (2011). The college completion agenda: 2011 Progress report. New York: The College Board.Google Scholar
  71. Leuwerke, W., Walker, J., & Shi, Q. (2009). Informing principals: The impact of different types of information on principals’ perceptions of professional school counselors. Professional School Counseling, 12(4), 263–271.Google Scholar
  72. Lin, N. (2001). Social Capital: A Theory of Social Structure and Action. New York, NY: Cambridge University Press.Google Scholar
  73. Long, J. S. (1997). Regression models for categorical and limited dependent variables (Vol. 7). London: Sage Publications, Inc.Google Scholar
  74. Long, J., & Freese, J. (2006). Regression models for categorical and limited dependent variables using Stata. College Station, TX: Stata Press.Google Scholar
  75. Long, B., & Kurlaender, M. (2009). Do community colleges provide a viable pathway to a baccalaureate degree?. Educational Evaluation and Policy Analysis, 31(1), 30–53.Google Scholar
  76. Luke, D. (2004). Multilevel modeling. Thousand Oaks, CA: Sage.Google Scholar
  77. Luna De La Rosa, M. (2006). Is opportunity knocking?: Low income students’ perceptions of college and financial aid. American Behavioral Scientist, 49(12), 1670–1686.Google Scholar
  78. Martinez, M., & Klopott, S. (2005). The link between high school reform and college access for low-income and minority youth. Washington, DC: American Youth Policy Forum and Pathways to College Network.Google Scholar
  79. Matthews, D. (2012). A stronger nation through higher education: How and why Americans must meet a big goal for college attainment. Indianapolis, IN: Lumina Foundation for Education.Google Scholar
  80. McDonough, P. (1997). Choosing colleges. How social class and schools structure opportunity. Albany, NY: State University of New York Press.Google Scholar
  81. McDonough, P. (2005). Counseling and college counseling in America’s high schools. Alexandria, VA: National Association for College Admissions Counseling.Google Scholar
  82. McDonough, P., Korn, J., & Yamasaki, E. (1997). Access, equity, and the privatization of college counseling. The Review of Higher Education, 20(3), 297–317.Google Scholar
  83. McFadden, D. (1973). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105–142). New York: Academic Press.Google Scholar
  84. Muhammad, C. (2008). African American students and college choice: A consideration of the role of school counselors. NASSP Bulletin, 92(2), 81–94.Google Scholar
  85. National Association of College Admissions Counseling. (2004). Findings of the Ad Hoc Committee on Graduate Coursework. Arlington, VA.Google Scholar
  86. Nichols, A. H. (2011). Developing the 20/20 vision on the 2020 degree attainment goal: The threat of income-based inequality in education. Washington, DC: Pell Institute for the Study of Opportunity in Higher Education.Google Scholar
  87. Panter, A., & Sterba, S. (2011). Handbook of ethics in quantitative methodology. New York: Routledge.Google Scholar
  88. Paulsen, M. (2001). The economics of human capital and investment in higher education. In M. Paulsen & J. Smart (Eds.), The finance of higher education: Theory, research, policy and practice. (pp. 55–94). New York: Agathon Press.Google Scholar
  89. Paulsen, M., & St. John, E. (2002). Social class and college costs: Examining the financial nexus between college choice and persistence. Journal of Higher Education, 73(3).Google Scholar
  90. Perna, L. (2004). Impact of student aid program design, operations, and marketing on the formation of family college-going plans and resulting college-going behaviors of potential students. Boston: The Education Resources Institute, Inc. (TERI).Google Scholar
  91. Perna, L. (2006). Studying college choice: A proposed conceptual model. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 21, pp. 99–157). Boston: Kluwer Academic Publishers.Google Scholar
  92. Perna, L., Rowan-Kenyon, H., Bell, A., Thomas, S., & Li, C. (2008). A typology of federal and state programs designed to promote college enrollment. The Journal of Higher Education, 79(3), 243–267.Google Scholar
  93. Perna, L., & Thomas, S. (2009). Barriers to college opportunity the unintended consequences of state-mandated testing. Educational Policy, 23(3), 451–479.Google Scholar
  94. Perna, L., & Titus, M. A. (2005). The relationship between parental involvement as social capital and college enrollment: An examination of racial/ethnic group differences. Journal of Higher Education, 76(5), 485–518.Google Scholar
  95. Peugh, J., & Enders, C. (2004). Missing data in educational research: A review of reporting practices and suggestions for improvement. Review of educational research, 74(4), 525–556.Google Scholar
  96. Plank, S., & Jordan, W. (2001). Effects of information, guidance, and actions on postsecondary destinations: A study of talent loss. American Education Research Journal, 38, 947–979.Google Scholar
  97. Rabe-Hesketh, S., & Skrondal, A. (2006). Multilevel modeling of complex survey data. Journal of the Royal Statistical Society, 169, 805–827.Google Scholar
  98. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods. Newbury Park, CA: Sage.Google Scholar
  99. Raykov, T., & Marcoulides, G. (2008). An introduction to applied multivariate analysis. New York: Routledge.Google Scholar
  100. Raykov, T., & Marcoulides, G. A. (2010). Introduction to psychometric theory. New York: Taylor & Francis.Google Scholar
  101. Roderick, M., Nagaoka, J., Coca, J., & Moeller, E. (2009). From high school to the future: Making hard work pay off. Chicago, IL: Consortium on Chicago School Research.Google Scholar
  102. Roodman, D. (2011). Fitting fully observed recursive mixed process models with cmp. The Stata Journal, 11(2), 159–206.Google Scholar
  103. Rosenbaum, J., Miller, S., & Krei, M. (1996). Gatekeepers in the era of more open gates. American Journal of Education, 104, 257–279.Google Scholar
  104. Rowan-Kenyon, H., Bell, A., & Perna, L. (2008). Contextual influences on parental involvement in college going: Variations by socioeconomic status. The Journal of Higher Education, 79(5), 564–586.Google Scholar
  105. Rowan-Kenyon, H., Perna, L., & Swan, A. (2011). Stucturing Opportunity: The role of school context in shaping high school students’ occupational aspirations. The Career Development Quarterly, 59, 330–344.Google Scholar
  106. Rowell, L., Whitson, L., & Thomas, S. (2008). Middle and high school supplemental counseling program: Increased support for student success in California schools. San Diego, CA: California Association of School Counselors and the Center for Student Support Systems.Google Scholar
  107. Rubin, D. (1996). Multpile imputation after 18+ years. Journal of the American Statistical Association, 91, 473–489.Google Scholar
  108. Rubin, D. (2006). Matched sampling for causal effects. Cambridge, UK: Cambridge University Press.Google Scholar
  109. Savitz-Romer, M. (2012). Professional college knowledge: Re-envisioning how we prepare our college readiness workforce. Arlington, VA: National Association for College Admission Counseling.Google Scholar
  110. Schafer, J., & Graham, J. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7(2), 147–177.Google Scholar
  111. Small, K., & Hsiao, C. (1985). Multinomial logit specification tests. International Economic Review, 26(3), 619–627.Google Scholar
  112. Stanton-Salazar, R., & Dornbusch, S. (1995). Social capital and the reproduction of inequality: Information networks among mexican-origin high school students. Sociology of Education, 68, 116–135.Google Scholar
  113. St. John, E. (2003). Refinancing the college dream: Access, equal opportunity, and justice for taxpayers. Baltimore, MD: The Johns Hopkins University Press.Google Scholar
  114. Thomas, S., & Heck, R. H. (2001). Analysis of large-scale secondary data in higher education research: Potential perils associated with complex sampling designs. Research in Higher Education, 42(5), 517–540.Google Scholar
  115. Thomas, S., & Perna, L. (2004). The opportunity agenda: A reexamination of postsecondary reward and opportunity. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 19, pp. 43–84). Boston: Kluwer Academic Publishers.Google Scholar
  116. Tierney, W., & Venegas, K. (2009). Finding money on the table: Information, financial aid, and access to college. Journal of Higher Education, 80(4), 363–388.Google Scholar
  117. Tomas Rivera Policy Institute. (2004). Caught in the financial aid information divide: A national survey of Latino perspectives on financial aid. Reston, VA: The Sallie Mae Fund.Google Scholar
  118. Treiman, D. J. (2009). Quantitative data analysis: Doing social research to test ideas (Vol. 27). San Francisco, CA: Jossey-Bass.Google Scholar
  119. Turley, R. N. (2009). College proximity: Mapping access to opportunity. Sociology of Education, 82(2), 126–146.Google Scholar
  120. Venezia, A., Kirst, M., & Antonio, A. (2003). Betraying the Dream: How Disconnected K-12 and Postsecondary Education Systems Undermine Student Aspirations. Palo Alto, CA: Stanford University.Google Scholar
  121. Venezia, A., & Kirst, M. W. (2005). Inequitable opportunities: How current education systems and policies undermine the chances for student persistence and success in college. Educational Policy, 19(2), 283–307.Google Scholar
  122. Walpole, M. (2003). Socioeconomic status and college: How SES affects college experiences and outcomes. Review of Higher Education, 27, 45–73.Google Scholar
  123. White, H. (1980). Using least squares to approximate unknown regression functions. International Economic Review, 21(1), 149–170.Google Scholar
  124. Zeldin, A., Britner, S., & Pajares, F. (2008). A comparative study of the self-efficacy beliefs of successful men and women in mathematics, science and technology careers. Journal of Research in Science Teaching, 45, 1036–1058.Google Scholar
  125. Zelkowski, J. (2010). Secondary mathematics: Four credits, block schedules, continuous enrollment? What maximizes college rseadiness?. The Mathematics Educator, 20(1), 8–21.Google Scholar

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© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Institute of Higher EducationUniversity of GeorgiaAthensUSA

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