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Research Article

Upstream Predictors of the Need for Developmental Education among First-year Community College Students

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References

  • Algina, J., & Swaminathan, H. (2011). Centering in two-level nested designs. In J. J. Hox & J. K. Roberts (Eds.), Handbook of advanced multilevel analysis (pp. 285–312). New York, NY: Routledge Press.
  • Ankeny, E. M., & Lehmann, J. P. (2010). The transition lynchpin: The voices of individuals with disabilities who attended a community college transition program. Community College Journal of Research and Practice, 34(6), 477–496. doi:10.1080/10668920701382773
  • Atchison, D., Baker, B., Boyle, A., Levin, J., & Manshi, K. (2017). Exploring the quality of school-level expenditure data: Practices and lessons learned in nine sites. Retrieved from https://www2.ed.gov/rschstat/eval/title-i/quality-expenditure-data/report.pdf
  • Attewell, P., Lavin, D., Domina, T., & Levey, T. (2006). New evidence on college remediation. The Journal of Higher Education, 77(5), 886–924. doi:10.1080/00221546.2006.11778948
  • Bailey, T., Jeong, D. W., & Cho, S. W. (2010). Referral, enrollment, and completion in developmental education sequences in community colleges. Economics of Education Review, 29, 255–270. doi:10.1016/j.econedurev.2009.09.002
  • Bailey, T. R., Jaggars, S. S., & Jenkins, D. (2015). Redesigning America’s community colleges. Cambridge, MA: Harvard University Press.
  • Barnett, E., Fay, M., Pheatt, L. E., & Trimble, M. J. (2016). What we know about transition courses. New York, NY: Community College Research Center, Teachers College, Columbia University.
  • Barnett, E. A., Bergman, P., Kopko, E., Reddy, V., Belfield, C. R., & Roy, S. (2018). Multiple measures placement using data analytics an implementation and early impacts report. The Center for the Analysis of Postsecondary Readiness and MDRC. Retrieved from https://www.mdrc.org/publication/multiple-measures-placement-using-data-analytics/file-full
  • Barnett, E. A., Chavarín, O., & Griffin, S. (2018). Math transition courses in context: preparing students for college success. CCRC Research Brief. Community College Research Center, Teachers College, Columbia University. Retrieved from https://ccrc.tc.columbia.edu/media/k2/attachments/math-transition-courses-context.pdf
  • Barnett, E. A., & Reddy, V. (2017). College placement strategies: Evolving considerations and practices. In K. L. McClarty, K. D. Mattern, & M. N. Gaertner (Eds.), Preparing students for college and careers: Theory, measurement, and educational practice (1st ed., pp. 82–93). New York, NY: Routledge.
  • Berg, G. A. (2016). Low-income students and the perpetuation of inequality: Higher education in America. New York, NY: Routledge.
  • Bettinger, E. P., & Long, B. T. (2009). Addressing the needs of underprepared students in higher education does college remediation work. Journal of Human Resources, 44(3), 736–771. doi:10.3386/w11325
  • Bremer, C. D., Center, B. A., Opsal, C. L., Medhanie, A., Jang, Y. J., & Geise, A. C. (2013). Outcome trajectories of developmental students in community colleges. Community College Review, 41(2), 154–175. doi:10.1177/0091552113484963
  • Buddenhagen, B. J. (2014). Opportunity gaps and remediation: Can academic intensity in high school level the playing field? ( Doctoral Dissertation). Retrieved from(https://digitalcommons.du.edu/etd/97)
  • Callahan, R., Wilkinson, L., & Muller, C. (2010). Academic achievement and course taking among language minority youth in US schools: Effects of ESL placement. Educational Evaluation and Policy Analysis, 32(1), 84–117. doi:10.3102/0162373709359805
  • Chen, X. (2016). Remedial course taking at U.S. public 2- and 4-year institutions: Scope, experiences, and outcomes. (Report No. NCES 2016-405). Retrieved from http://nces.ed.gov/pubsearch
  • Clotfelter, C. T., Ladd, H. F., Muschkin, C., & Vigdor, J. L. (2015). Developmental education in North Carolina community colleges. Educational Evaluation and Policy Analysis, 37(3), 354–375. doi:10.17732/jbit2015/6
  • Collins, M., & Couturier, L. (2008). Achieving the dream: State policy changes for community colleges. New England Journal of Higher Education, 23(1), 14–15. doi:10.1002/cc.20154
  • Dai, J., Li, Z., & Rocke, D. (2006). Hierarchical logistic regression modeling with SAS GLIMMIX. In Proceedings of the thirty-first annual SAS users group international conference. Cary, North Carolina: SAS Institute Inc.
  • Dondero, M., & Muller, C. (2012). School stratification in new and established Latino destinations. Social Forces, 91(2), 477–502. doi:10.1093/sf/sos127
  • Duckworth, A. L., & Quinn, P. D. (2009). Development and validation of the Short Grit Scale (GRIT–S). Journal of Personality Assessment, 91(2), 166–174. doi:10.1080/00223890802634290
  • Else-Quest, N. M., Hyde, J. S., & Linn, M. C. (2010). Cross-national patterns of gender differences in mathematics: A meta-analysis. Psychological Bulletin, 136, 103–121. doi:10.1037/a0018851
  • Ene, M., Leighton, E. A., Blue, G. L., & Bell, B. A. (2015). Multilevel models for categorical data using SAS® PROC GLIMMIX: The basics. Paper presented at the meeting of the SAS Global Forum, Dallas, TX.
  • Engle, J., & Tinto, V. (2008). Moving beyond access: College success for low-income, first-generation students. Washington, DC: Pell Institute for the Study of Opportunity in Higher Education.
  • Flores, S. M., & Drake, T. A. (2014). Does English language learner (ELL) identification predict college remediation designation?: A comparison by race and ethnicity, and ELL waiver status. The Review of Higher Education, 38(1), 1–36. doi:10.1353/rhe.2014.0041
  • Folk, E. D., Yamamoto, K. K., & Stodden, R. A. (2012). Implementing inclusion and collaborative teaming in a model program of postsecondary education for young adults with intellectual disabilities. Journal of Policy and Practice in Intellectual Disabilities, 9(4), 257–269. doi:10.1111/jppi.12007
  • Fuchs, D., & Fuchs, L. S. (2006). Introduction to response to intervention: What, why, and how valid is it? Reading Research Quarterly, 4(1), 93–99. doi:10.1598/rrq.41.1.4
  • 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. Retrieved from https://www.civilrightsproject.ucla.edu/research/college-access/diversity/building-pathways-to-transfer-community-colleges-that-break-the-chain-of-failure-for-students-of-color
  • Griffin, M. M., & Papay, C. K. (2017). Supporting students with intellectual and developmental disabilities to attend college. Teaching Exceptional Children, 49(6), 411–419. doi:10.1177/0040059917711695
  • Halbach, G. (2015). College and career – Are Maryland students ready? Annapolis, MD: Department of Legislative. Retrieved from mgaleg.maryland.gov/Pubs/BudgetFiscal/2016fy-budget-docs-operating-HEPB1-Higher-Education-Policy-Briefing—Remediation.pdf.
  • Hein, V., Smerdon, B., & Sambolt, M. (2013). Predictors of postsecondary success. Washington, DC: American Institutes for Research. Retrieved from https://ccrscenter.org/products-resources/predictors-postsecondary-success
  • Hodara, M. (2015). What predicts participation in developmental education among recent high school graduates at community college? Lessons from Oregon (Report No. REL 2015–081). Retrieved from https://ies.ed.gov/ncee/edlabs/projects/project.asp?projectID=394
  • Horn, L., & Berger, R. (2004). College persistence on the rise? Changes in 5-year degree completion and postsecondary persistence rates between 1995 and 2000 (Report No. NCES 2005-156). Retrieved from https://nces.ed.gov/pubs2005/2005156.pdf
  • Horn, L., Peter, K., & Rooney, K. (2002). Profiles of undergraduates in us postsecondary education institutions: 1999-2000. Education Statistics Quarterly, 4(3), 79–86. doi:10.1037/e492172006-011
  • Hox, J. (2002). Multi-Level analysis. London: Lawrence Erlbaum Associates, Publishers.
  • Huang, F. L. (2016). Alternatives to multilevel modeling for the analysis of clustered data. The Journal of Experimental Education, 84(1), 175–196. doi:10.1080/00220973.2014.952397
  • Hurd, N. M., & Sellers, R. M. (2013). Black adolescents’ relationships with natural mentors: Associations with academic engagement via social and emotional development. Cultural Diversity and Ethnic Minority Psychology, 19(1), 76. doi:10.1037/a0031095
  • Hurd, N. M., Tan, J. S., & Loeb, E. L. (2016). Natural mentoring relationships and the adjustment to college among underrepresented students. American Journal of Community Psychology, 57(3–4), 330–341. doi:10.1002/ajcp.12059
  • Hurd, N. M., & Zimmerman, M. A. (2014). An analysis of natural mentoring relationship profiles and associations with mentees’ mental health: Considering links via support from important others. American Journal of Community Psychology, 53(1–2), 25–36. doi:10.1007/s10464-013-9598-y
  • Jimerson, S. R., Anderson, G. E., & Whipple, A. D. (2002). Winning the battle and losing the war: Examining the relation between grade retention and dropping out of high school. Psychology in the Schools, 39(4), 441–457. doi:10.1002/(ISSN)1520-6807
  • Jimerson, S. R., & Ferguson, P. (2007). A longitudinal study of grade retention: Academic and behavioral outcomes of retained students through adolescence. School Psychology Quarterly, 22(3), 314–339. doi:10.1037/1045-3830.22.3.314
  • Kane, T., Boatman, A., Kozakowski, W., Bennett, C., Hitch, R., & Weisenfeld, D. (2018). Remedial math goes to high school: An evaluation of the Tennessee SAILS program. (CEPR Policy Brief). Cambridge, MA: Harvard University, Center for Education Policy Research.
  • Kline, R. B. (2011). Principles and practice of structural equation modeling. New York, NY: Guilford Press.
  • Lamdin, D. J. (1996). Evidence of student attendance as an independent variable in education production functions. The Journal of Educational Research, 89(3), 155–162. doi:10.1080/00220671.1996.9941321
  • Lindberg, S. M., Hyde, J. S., Petersen, J. L., & Linn, M. C. (2010). New trends in gender and mathematics performance: A meta-analysis. Psychological Bulletin, 136, 1123–1135. doi:10.1037/a0021276
  • Lucas, T., Henze, R., & Donato, R. (1990). Promoting the success of Latino language-minority students: An exploratory study of six high schools. Harvard Educational Review, 60(3), 315–341. doi:10.17763/haer.60.3.0160105tt9kgkq51
  • Mamiseishvili, K., & Koch, L. C. (2011). First-to-second-year persistence of students with disabilities in postsecondary institutions in the United States. Rehabilitation Counseling Bulletin, 54(2), 93–105. doi:10.1177/0034355210382580
  • Mamiseishvili, K., & Koch, L. C. (2012). Students with disabilities at 2-year institutions in the United States: Factors related to success. Community College Review, 40(4), 320–339. doi:10.1177/0091552112456281
  • Mejia, M. C., Rodriguez, O., & Johnson, H. (2016). Preparing students for success in California’s community colleges. Retrieved from http://www.ppic.org/main/publication.asp?i=1215
  • Melguizo, T., Bos, J., & Prather, G. (2011). Is developmental education helping community college students persist? A critical review of the literature. American Behavioral Scientist, 55(2), 173–184. doi:10.1177/0002764210381873
  • Neubert, D. A., & Redd, V. A. (2008). Transition services for students with intellectual disabilities: A case study of a public school program on a community college campus. Exceptionality, 16(4), 220–234. doi:10.1080/09362830802412265
  • Nosek, B. A., Smyth, F. L., Sriram, N., Lindner, N. M., Devos, T., Ayala, A., … Kesebir, S. (2009). National differences in gender–science stereotypes predict national sex differences in science and math achievement. Proceedings of the National Academy of Sciences, 106(26), 10593–10597. doi:10.31234/osf.io/sp8nc
  • Petersen, J. L., & Hyde, J. S. (2017). Trajectories of self-perceived math ability, utility value and interest across middle school as predictors of high school math performance. Educational Psychology, 37(4), 438–456. doi:10.1080/01443410.2015.1076765
  • Plotner, A. J., & Marshall, K. J. (2015). Postsecondary education programs for students with an intellectual disability: Facilitators and barriers to implementation. Intellectual and Developmental Disabilities, 53(1), 58–69. doi:10.1352/1934-9556-53.1.58
  • Portes, A., & Zhou, M. (2012). The new second generation: Segmented assimilation and its variants. In C. Suarez-Orozco, M. Suarez-Orozco, & D. B. Qin-Hilliard (Eds.), The new immigration: An interdisciplinary reader (pp. 99–116). New York, NY: Routledge.
  • Radford, A. W., & Horn, L. (2012). Web Tables—An overview of classes taken and credits earned by beginning postsecondary students. (Report No. NCES 2013-151REV). Retrieved from https://nces.ed.gov/pubs2013/2013151rev.pdf
  • Reilly, D., Neumann, D. L., & Andrews, G. (2015). Sex differences in mathematics and science achievement: A meta-analysis of National assessment of educational progress assessments. Journal of Educational Psychology, 107(3), 645. doi:10.1037/edu0000012
  • Rothstein, R. (2015). The racial achievement gap, segregated schools, and segregated neighborhoods: A constitutional insult. Race and Social Problems, 7(1), 21–30. doi:10.1007/s12552-014-9134-1
  • Rumberger, R. W. (2011). Dropping out: Why students drop out of high school and what can be done about it. Cambridge, MA: Harvard University Press.
  • Scott-Clayton, J., Crosta, P. M., & Belfield, C. R. (2014). Improving the targeting of treatment: Evidence from college remediation. Educational Evaluation and Policy Analysis, 36(3), 371–393. doi:10.3102/0162373713517935
  • Scott-Clayton, J., & Rodriguez, O. (2012). Development, discouragement, or diversion? New evidence on the effects of college remediation. (Report No. w18328). Retrieved from http://www.nber.org/papers/w18328
  • Stocco, A., Yamasaki, B., Natalenko, R., & Prat, C. S. (2014). Bilingual brain training: A neurobiological framework of how bilingual experience improves executive function. International Journal of Bilingualism, 18(1), 67–92. doi:10.1177/1367006912456617
  • Studenmund, A. H. (2014). Using econometrics: A practical guide. Boston: Pearson.
  • Sugai, G., Lewis-Palmer, T., & Hagan-Burke, S. (2000). Overview of the functional behavioral assessment process. Exceptionality, 8(3), 149–160. doi:10.1207/S15327035EX0803_2
  • Thoma, C. A., Lakin, K. C., Carlson, D., Domzal, C., Austin, K., & Boyd, K. (2011). Participation in postsecondary education for students with intellectual disabilities: A review of the literature 2001-2010. Journal of Postsecondary Education and Disability, 24(3), 175–191.
  • Vance, L. K. (2016). Best practices in tutoring services and the impact of required tutoring on high-risk students. (Doctoral Dissertation). Retrieved from Encompass Online Theses and Dissertations (441).
  • Ward, L., Siegel, M., & Davenport, Z. (2012). First generation college students: Understanding and improving the experience from recruitment to commencement. San Francisco, CA: John Wiley & Sons.
  • Williams, M. R., Tompkins, P., & Rogers, B. (2018, Winter). High school teachers’ perceptions of developmental education. Journal of Developmental Education, 41(2), 2–4, 6–11.

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