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The Art of Sophisticated Quantitative Description in Higher Education Research

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Higher Education: Handbook of Theory and Research

Part of the book series: Higher Education: Handbook of Theory and Research ((HATR,volume 37))

Abstract

While the emphasis on causal research in education has become increasingly important in recent years, thoughtful, descriptive analysis remains necessary for providing the conceptual grounding for experimental and quasi-experimental research and understanding our world. Sophisticated quantitative description is an approach to research that does not attempt to determine a causal impact. Instead, its purpose is to critically analyze and present data using purposeful methods to build a theory-driven story about a phenomenon that future research can investigateĀ further. Sophisticated description can offer new ways to look at problems of research and practice, provide context and explanation for causal findings, or open new avenues of research. This chapter defines sophisticated quantitative description and provides an overview of its uses in higher education research. It outlines the numerous goals of sophisticated descriptive research and offers potential methods and approaches for conducting sophisticated description. Exemplars and discussion of published sophisticated descriptive research from the higher education literature are included throughout. The chapter concludes with an application of sophisticated description for analyzing college application behavior in the United States using social network analysis.

Nicholas Hillman was the Associate Editor for this chapter.

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References

  • Alvero, A. J., Giebel, S., Gebre-Medhin, B., Antonio, A.L., Stevens, M.L., & Domingue, B.W. (2021). Essay content is strongly related to household income and SAT scores: Evidence from 60,000 undergraduate applications. Science Advances, 7(42), eabi903.

    Google ScholarĀ 

  • Arellano, L. (2020). Capitalizing baccalaureate degree attainment: Identifying student and institution level characteristics that ensure success for Latinxs. The Journal of Higher Education, 91(4), 588ā€“619.

    ArticleĀ  Google ScholarĀ 

  • Attewell, P., Lavin, D., Domina, T., & Levey, T. (2006). New evidence on college remediation. The Journal of Higher Education, 77(5), 886ā€“924.

    ArticleĀ  Google ScholarĀ 

  • Avery, C., & Kane, T. (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. 355ā€“391). University of Chicago Press.

    ChapterĀ  Google ScholarĀ 

  • Avery, C., & Turner, S. (2012). Student Loans: Do College Students Borrow Too Much Or Not Enough?. Journal of Economic Perspectives, 26(1), 165ā€“92.

    Google ScholarĀ 

  • Baker, R. (2018). Understanding college studentsā€™ major choices using social network analysis. Research in Higher Education, 59(2), 198ā€“225.

    ArticleĀ  Google ScholarĀ 

  • Baker, R., Klasik, D., & Reardon, S. F. (2018). Race and stratification in college enrollment over time. AERA Open, 4(1), 1ā€“28.

    ArticleĀ  Google ScholarĀ 

  • Barringer, S. N., Leahey, E., & Salazar, K. (2020). What catalyzes research universities to commit to interdisciplinary research? Research in Higher Education, 61(6), 679ā€“705.

    ArticleĀ  Google ScholarĀ 

  • Belasco, A. S. (2013). Creating college opportunity: School counselors and their influence on postsecondary enrollment. Research in Higher Education, 54(7), 781ā€“804.

    ArticleĀ  Google ScholarĀ 

  • Bettinger, E. P., & Baker, R. B. (2014). The effects of student coaching: An evaluation of a randomized experiment in student advising. Educational Evaluation and Policy Analysis, 36(1), 3ā€“19.

    ArticleĀ  Google ScholarĀ 

  • Biancani, S., & McFarland, D. A. (2013). Social networks research in higher education. In M. Paulsen (Ed.), Higher education: Handbook of theory and research, volume 28 (pp. 151ā€“215). Springer.

    Google ScholarĀ 

  • Bielby, R. M., House, E., Flaster, A., & DesJardins, S. L. (2013). Instrumental variables: Conceptual issues and an application considering high school course taking. In M. Paulsen (Ed.), Higher education: Handbook of theory and research, volume 28 (pp. 263ā€“321). Springer.

    Google ScholarĀ 

  • Black, D., & Smith, J. (2004). How robust is the evidence on the effects of college quality? Evidence from matching. Journal of Econometrics, 121, 99.

    ArticleĀ  Google ScholarĀ 

  • Blinder, A. S. (1973). Wage discrimination: Reduced form and structural estimates. The Journal of Human Resources, 8(4), 436.

    ArticleĀ  Google ScholarĀ 

  • Bowen, W. G., Chingos, M. M., & McPherson, M. S. (2009). Crossing the finish line: Completing College at Americaā€™s public universities. Princeton University Press.

    BookĀ  Google ScholarĀ 

  • Bowman, N. A., Miller, A., Woosley, S., Maxwell, N. P., & Kolze, M. J. (2019). Understanding the link between noncognitive attributes and college retention. Research in Higher Education, 60(2), 135ā€“152.

    ArticleĀ  Google ScholarĀ 

  • Connelly, R., Playford, C. J., Gayle, V., & Dibben, C. (2016). The role of administrative data in the big data revolution in social science research. Social Science Research, 59, 1ā€“12.

    ArticleĀ  Google ScholarĀ 

  • Dale, S., & Krueger, A. B. (2014). Estimating the return to college selectivity over the career using administrative earnings data. Journal of Human Resources, 49(2), 323-358.

    Google ScholarĀ 

  • Deming, D. J., Goldin, C., & Katz, L. F. (2012). The for-profit postsecondary school sector: Nimble critters or agile predators? Journal of Economic Perspectives, 26(1), 139ā€“164.

    ArticleĀ  Google ScholarĀ 

  • Dillon, E. W., & Smith, J. A. (2020). The consequences of academic match between students and colleges. Journal of Human Resources, 55(3), 767-808.

    Google ScholarĀ 

  • Douglas, D., & Salzman, H. (2020). Math counts: Major and gender differences in college mathematics coursework. The Journal of Higher Education, 91(1), 84ā€“112.

    Google ScholarĀ 

  • Dynarski, S., Libassi, C. J., Michelmore, K., & Owen, S. (2021). Closing the gap: The effect of reducing complexity and uncertainty in college pricing on the choices of low-income students. American Economic Review, 111(6), 1721ā€“1756.

    ArticleĀ  Google ScholarĀ 

  • Flores, S. M., Park, T. J., & Baker, D. J. (2017). The racial college completion gap: Evidence from Texas. The Journal of Higher Education, 88(6), 894ā€“921.

    ArticleĀ  Google ScholarĀ 

  • Furquim, F., Corral, D., & Hillman, N. (2020). A primer for interpreting and designing difference-in-differences studies in higher education research. In L. W. Perna (Ed.), Higher education: Handbook of theory and research, Volume 35 (pp. 1ā€“58). Springer.

    Google ScholarĀ 

  • Greene, J. A., Oswald, C. A., & Pomerantz, J. (2015). Predictors of retention and achievement in a massive open online course. American Educational Research Journal, 52(5), 925ā€“955.

    ArticleĀ  Google ScholarĀ 

  • Gurantz, O., Howell, J., Hurwitz, M., Larson, C., Pender, M., & White, B. (2020). A national-level informational experiment to promote enrollment in selective colleges. Journal of Policy Analysis and Management, 42(2), 453ā€“479.

    ArticleĀ  Google ScholarĀ 

  • Hemelt, S. W., Stange, K. M., Furquim, F., Simon, A., & Sawyer, J. E. (2020). Why is math cheaper than English? Understanding cost differences in higher education. Journal of Labor Economics, 39(2), 397-435.

    Google ScholarĀ 

  • Hillman, N. W. (2016). Geography of college opportunity: The case of education deserts. American Educational Research Journal, 53(4), 987ā€“1021.

    ArticleĀ  Google ScholarĀ 

  • Ho, A. D., & Reardon, S. F. (2012). Estimating achievement gaps from test scores reported in ordinal ā€œproficiencyā€ categories. Journal of Educational and Behavioral Statistics, 37(4), 489ā€“517.

    ArticleĀ  Google ScholarĀ 

  • Hoekstra, M. (2009). The effect of attending the flagship state university on earnings: A discontinuity-based approach. The Review of Economics and Statistics, 91(4), 717.

    ArticleĀ  Google ScholarĀ 

  • Holzman, B., Klasik, D., & Baker, R. (2020). Gaps in the college application gauntlet. Research in Higher Education, 61, 795ā€“822.

    ArticleĀ  Google ScholarĀ 

  • Hossler, D., Braxton, J. M., & Coopersmith, G. (1989). Understanding student college choices. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 5, pp. 231ā€“288). Agathon Press.

    Google ScholarĀ 

  • Hossler, D., & Gallagher, K. S. (1987). Studying student college choice: A three-phase model and the implications for policymakers. College and University, 62(3), 207ā€“221.

    Google ScholarĀ 

  • Hoxby, C. (2009). The changing selectivity of American colleges. Journal of Economic Perspectives, 23(4), 95ā€“118.

    ArticleĀ  Google ScholarĀ 

  • Hoxby, C., & Turner, S. (2013). Expanding college opportunities for high-achieving, low-income students (Stanford Institute for economic policy research discussion paper no. 12-014). Stanford Institute for Economic Policy Research.

    Google ScholarĀ 

  • Hoxby, C. M., & Avery, C. (2013). The missing ā€œone-offsā€: The hidden supply of high-achieving, low-income students. Brookings Papers on Economic Activity 2013(1), 1-65.

    Google ScholarĀ 

  • Hurwitz, M., Smith, J., Niu, S., & Howell, J. (2015). The Maine question: How is 4-year college enrollment affected by mandatory college entrance exams? Educational Evaluation and Policy Analysis, 31(1), 138ā€“159.

    ArticleĀ  Google ScholarĀ 

  • Imenda, S. (2014). Is there a conceptual difference between theoretical and conceptual frameworks? Journal of Social Sciences, 38(2), 185ā€“195.

    ArticleĀ  Google ScholarĀ 

  • Iyengar, S. S., & Lepper, M. R. (2000). When choice is demotivating: Can one desire too much of a good thing?. Journal of Personality and Social Psychology, 79(6), 995ā€“1006.

    Google ScholarĀ 

  • Klasik, D. (2012). The college application gauntlet: A systematic analysis of the steps to four-year college enrollment. Research in Higher Education, 53(5), 506ā€“549.

    ArticleĀ  Google ScholarĀ 

  • Klasik, D. (2013). The ACT of enrollment: The college enrollment effects of state-required college entrance exam testing. Educational Researcher, 42(3), 151ā€“160.

    ArticleĀ  Google ScholarĀ 

  • Klasik, D., Blagg, K., & Pekor, Z. (2018). Out of the education desert: How limited local college options are associated with inequity in postsecondary opportunities. Social Sciences, 7(9), 165.

    ArticleĀ  Google ScholarĀ 

  • Klasik, D., & Hutt, E. L. (2019). Bobbing for bad apples: Accreditation, quantitative performance measures, and the identification of low-performing colleges. The Journal of Higher Education, 90(3), 427ā€“461.

    ArticleĀ  Google ScholarĀ 

  • Kurban, E. R., & Cabrera, A. F. (2020). Building readiness and intention towards STEM fields of study: Using HSLS:09 and SEM to examine this complex process among high school students. The Journal of Higher Education, 91(4), 620ā€“650.

    ArticleĀ  Google ScholarĀ 

  • Leighton, M., & Speer, J. D. (2020). Labor market returns to college major specificity. European Economic Review, 128, 103489.

    ArticleĀ  Google ScholarĀ 

  • Loeb, S., Dynarski, S., McFarland, D., Morris, P., Reardon, S., & Reber, S. (2017). Descriptive analysis in education: A guide for researchers. National Center for Education Evaluation and Regional Assistance.

    Google ScholarĀ 

  • Long, B. T. (2004). How have college decisions changed over time? An application of the conditional logistic choice model. Journal of Econometrics, 121(1ā€“2), 271ā€“296.

    ArticleĀ  Google ScholarĀ 

  • Long, M. C. (2008). College quality and early adult outcomes. Economics of Education Review, 27, 588.

    ArticleĀ  Google ScholarĀ 

  • McCall, B. P., & Bielby, R. M. (2012). Regression discontinuity design: Recent developments and a guide to practice for researchers in higher education. In J. C. Smart & M. B. Paulsen (Eds.), Higher education: Handbook of theory and research (Vol. 27, pp. 249ā€“290).

    ChapterĀ  Google ScholarĀ 

  • McDonough, P. M. (1997). Choosing colleges: How social class and schools structure opportunity. State University of New York Press.

    Google ScholarĀ 

  • McDonough, P. M. (2005). Counseling matters: Knowledge, assistance, and organizational commitment in college preparation. In W. G. Tierney, Z. B. Corwin, & J. E. Colyar (Eds.), Preparing for college: Nine elements of effective outreach. State University of New York Press.

    Google ScholarĀ 

  • Miller, G. N. (2020). Iā€™ll know one when I see it: Using social network analysis to define comprehensive institutions through organizational identity. Research in Higher Education, 61(1), 51ā€“87.

    ArticleĀ  Google ScholarĀ 

  • Niu, S. X., & Tienda, M. (2007). Choosing colleges: Identifying and modeling choice sets. Social Science Research, 37(2), 416ā€“433.

    ArticleĀ  Google ScholarĀ 

  • Oaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economic Review, 14(3), 693.

    ArticleĀ  Google ScholarĀ 

  • Padgett, J. F., & Ansell, C. K. (1993). Robust action and the rise of the Medici, 1400ā€“1434. American Journal of Sociology, 98(6), 1259ā€“1319.

    ArticleĀ  Google ScholarĀ 

  • Perna, L. W. (2006). Studying college choice: A proposed conceptual model. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 21, pp. 99ā€“157). Springer.

    ChapterĀ  Google ScholarĀ 

  • Roderick, M., Coca, V., & Nagaoka, J. (2011). Potholes on the road to college: High school effects in shaping urban studentsā€™ participation in college application, four-year college enrollment, and college match. Sociology of Education, 84(3), 178ā€“211.

    ArticleĀ  Google ScholarĀ 

  • Roderick, M., Nagaoka, J., Coca, V., & Moeller, E. (2008). From high school to the future: Potholes on the road to college. Consortium on Chicago School Research at the University of Chicago.

    Google ScholarĀ 

  • Rosenboom, V., & Blagg, K. (2018). Disconnected from higher education: How geography and internet speed limit access to higher education. The Urban Institute.

    Google ScholarĀ 

  • Salazar, K. G., Jaquette, O., & Han, C. (2021). Coming soon to a neighborhood near you? Off-campus recruiting by public research universities. American Educational Research Journal, Online First.

    Google ScholarĀ 

  • Scott-Clayton, J., & Rodriguez, O. (2015). Development, discouragement, or diversion? New evidence on the effects of college remediation policy. Education Finance and Policy, 10(1), 4ā€“45.

    ArticleĀ  Google ScholarĀ 

  • Skinner, B. T. (2019). Choosing college in the 2000s: An updated analysis using the conditional logistic choice model. Research in Higher Education, 60(2), 153ā€“183.

    ArticleĀ  Google ScholarĀ 

  • Smith, D. A., & White, D. R. (1992). Structure and dynamics of the global economy: Network analysis of international trade 1965ā€“1980. Social Forces, 70(4), 857ā€“893.

    ArticleĀ  Google ScholarĀ 

  • Smith, J. (2018). The sequential college application process. Education Finance and Policy, 13(4), 545ā€“575.

    ArticleĀ  Google ScholarĀ 

  • Smith, J., Pender, M., & Howell, J. (2013). The full extent of student-college academic undermatch. Economics of Education Review, 32, 247ā€“261.

    ArticleĀ  Google ScholarĀ 

  • Turley, R. N. L. (2009). College proximity: Mapping access to opportunity. Sociology of Education, 82(2), 126ā€“146.

    ArticleĀ  Google ScholarĀ 

  • Wang, X. (2016). Course-taking patterns of community college students beginning in STEM: Using data mining techniques to reveal viable STEM transfer pathways. Research in Higher Education, 57(5), 544ā€“569.

    ArticleĀ  Google ScholarĀ 

  • Weiler, W. C. (1994). Transition from consideration of a college to the decision to apply. Research in Higher Education, 35(6), 1994.

    ArticleĀ  Google ScholarĀ 

  • Wells, R. S., Kolek, E. A., Williams, E. A., & Saunders, D. B. (2015). ā€œHow we know what we knowā€: A systematic comparison of research methods employed in higher education journals, 1996ā€“2000 v. 2006ā€“2010. The Journal of Higher Education, 86(2), 171ā€“198.

    Google ScholarĀ 

  • Xie, Y., Fang, M., & Shauman, K. (2015). STEM education. Annual Review of Sociology, 41(1), 331ā€“357.

    ArticleĀ  Google ScholarĀ 

  • Xu, D., Jaggars, S. S., Fletcher, J., & Fink, J. E. (2018). Are community college transfer students ā€œa good betā€ for 4-year admissions? Comparing academic and labor-market outcomes between transfer and native 4-year college students. The Journal of Higher Education, 89(4), 478ā€“502.

    ArticleĀ  Google ScholarĀ 

  • Zemsky, R., & Oedel, P. (1983). The structure of college choice. College Entrance Examination Board.

    Google ScholarĀ 

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Acknowledgments

The social network analysis of studentsā€™ college application choices described in this chapter was supported by a National Academy of Education/Spencer Foundation postdoctoral fellowship.

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Correspondence to Daniel Klasik .

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Klasik, D., Zahran, W. (2022). The Art of Sophisticated Quantitative Description in Higher Education Research. In: Perna, L.W. (eds) Higher Education: Handbook of Theory and Research. Higher Education: Handbook of Theory and Research, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-030-76660-3_12

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