IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i2p21582440231173660.html
   My bibliography  Save this article

Self-Placement in Math Courses at U.S. Community Colleges: Contributing Factors and Impacts on Student Success

Author

Listed:
  • Kai Zhao
  • Toby J. Park-Gaghan
  • Christine G. Mokher
  • Shouping Hu

Abstract

Self-placement in math is becoming increasingly popular in community colleges in the U.S., where students will decide for themselves whether to enroll in non-credit developmental (or remedial) math courses. To fully understand the factors associated with students’ math enrollment choices and the long-term effects of initial math enrollment choices, we use data from all first-time-in-college students in the Florida College System to conduct a multinomial logistic regression analysis and an inverse-probability regression adjustment analysis. We find that most students chose to directly enroll in college-level math, with significant differences by gender and high school math preparation. First-year math enrollment choices were significantly associated with likelihood of passing college-level math and the number of college credits by the third year.

Suggested Citation

  • Kai Zhao & Toby J. Park-Gaghan & Christine G. Mokher & Shouping Hu, 2023. "Self-Placement in Math Courses at U.S. Community Colleges: Contributing Factors and Impacts on Student Success," SAGE Open, , vol. 13(2), pages 21582440231, May.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:2:p:21582440231173660
    DOI: 10.1177/21582440231173660
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231173660
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231173660?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Thomas J. Kane & Angela Boatman & Whitney Kozakowski & Christopher Bennett & Rachel Hitch & Dana Weisenfeld, 2021. "Is College Remediation a Barrier or a Boost? Evidence from the Tennessee SAILS Program," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(3), pages 883-913, June.
    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    3. Jeongeun Kim & Jiyun Kim & Stephen L. DesJardins & Brian P. McCall, 2015. "Completing Algebra II in High School: Does it Increase College Access and Success?," The Journal of Higher Education, Taylor & Francis Journals, vol. 86(4), pages 628-662, July.
    4. Toby Park & Chenoa S. Woods & Shouping Hu & Tamara Bertrand Jones & David Tandberg, 2018. "What Happens to Underprepared First-Time-in-College Students When Developmental Education is Optional? The Case of Developmental Math and Intermediate Algebra in the First Semester," The Journal of Higher Education, Taylor & Francis Journals, vol. 89(3), pages 318-340, May.
    5. Bailey, Thomas & Jeong, Dong Wook & Cho, Sung-Woo, 2010. "Referral, enrollment, and completion in developmental education sequences in community colleges," Economics of Education Review, Elsevier, vol. 29(2), pages 255-270, April.
    6. Richard C. Atkinson and Saul Geiser, 2009. "Reflections on a Century of College Admissions Tests," University of California at Berkeley, Center for Studies in Higher Education qt49z7127p, Center for Studies in Higher Education, UC Berkeley.
    7. Angela Boatman & Christopher T. Bennett, 2021. "A Switch in Time: The Academic Effects of Shifting Math Remediation from College to High School," Education Finance and Policy, MIT Press, vol. 16(3), pages 464-492, Summer.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Federick Ngo, 2019. "Fractions in College: How Basic Math Remediation Impacts Community College Students," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(4), pages 485-520, June.
    2. Pei Hu & Christine G. Mokher & Kai Zhao & Toby J. Park-Gaghan & Shouping Hu, 2023. "Has a U.S. Developmental Education Reform for Academically Underprepared Students Affected College Enrollment?," SAGE Open, , vol. 13(4), pages 21582440231, November.
    3. Yu Chen & Xiaodan Hu, 2021. "The Nudge to Finish Up: A National Study of Community College Near-Completion Students," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(5), pages 651-679, August.
    4. Mengyuan Zhou, 2022. "Does the Source of Inheritance Matter in Bequest Attitudes? Evidence from Japan," Journal of Family and Economic Issues, Springer, vol. 43(4), pages 867-887, December.
    5. Campbell, Randall C. & Nagel, Gregory L., 2016. "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 186-195.
    6. Giuliani, Elisa & Martinelli, Arianna & Rabellotti, Roberta, 2016. "Is Co-Invention Expediting Technological Catch Up? A Study of Collaboration between Emerging Country Firms and EU Inventors," World Development, Elsevier, vol. 77(C), pages 192-205.
    7. Ilona Babenko & Benjamin Bennett & John M Bizjak & Jeffrey L Coles & Jason J Sandvik, 2023. "Clawback Provisions and Firm Risk," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 12(2), pages 191-239.
    8. Şahan, Duygu & Tuna, Okan, 2018. "Environmental innovation of transportation sector in OECD countries," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), The Road to a Digitalized Supply Chain Management: Smart and Digital Solutions for Supply Chain Management. Proceedings of the Hamburg International C, volume 25, pages 157-170, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    9. Eric Fesselmeyer & Kiat Ying Seah, 2018. "Individual Payoffs and the Effect of Homeownership on Social Capital Investment," Journal of Housing Research, Taylor & Francis Journals, vol. 27(1), pages 59-78, January.
    10. Ruomeng Cui & Dennis J. Zhang & Achal Bassamboo, 2019. "Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," Management Science, INFORMS, vol. 65(3), pages 1216-1235, March.
    11. Luiz Paulo Fávero & Joseph F. Hair & Rafael de Freitas Souza & Matheus Albergaria & Talles V. Brugni, 2021. "Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships," Mathematics, MDPI, vol. 9(10), pages 1-28, May.
    12. Shaikh M. S. U. Eskander & Sam Fankhauser, 2022. "Income Diversification and Income Inequality: Household Responses to the 2013 Floods in Pakistan," Sustainability, MDPI, vol. 14(1), pages 1-12, January.
    13. Iván Fernández-Val & Martin Weidner, 2018. "Fixed Effects Estimation of Large-TPanel Data Models," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 109-138, August.
    14. Peter Harasztosi & Attila Lindner, 2019. "Who Pays for the Minimum Wage?," American Economic Review, American Economic Association, vol. 109(8), pages 2693-2727, August.
    15. Jinwon Kim & Jucheol Moon & Dongyun Yang, 2024. "Pigouvian Congestion Tolls and the Welfare Gain: Estimates for California Freeways," Working Papers 2402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    16. Cho, Seong-Hoon & Kim, Heeho & Roberts, Roland K. & Kim, Taeyoung & Lee, Daegoon, 2014. "Effects of changes in forestland ownership on deforestation and urbanization and the resulting effects on greenhouse gas emissions," Journal of Forest Economics, Elsevier, vol. 20(1), pages 93-109.
    17. Kazuki Onji & John P. Tang, 2015. "A nation without a corporate income tax: Evidence from nineteenth century Japan," Discussion Papers in Economics and Business 15-12, Osaka University, Graduate School of Economics.
    18. Brown, Sarah & Greene, William H. & Harris, Mark N. & Taylor, Karl, 2015. "An inverse hyperbolic sine heteroskedastic latent class panel tobit model: An application to modelling charitable donations," Economic Modelling, Elsevier, vol. 50(C), pages 228-236.
    19. Roberto Martino & Phu Nguyen-Van, 2014. "Labour market regulation and fiscal parameters: A structural model for European regions," Working Papers of BETA 2014-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    20. Etienne Redor & Magnus Blomkvist, 2021. "Do all inside and affiliated directors hold the same value for shareholders?," Economics Bulletin, AccessEcon, vol. 41(3), pages 882-895.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:13:y:2023:i:2:p:21582440231173660. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.