IDEAS home Printed from https://ideas.repec.org/a/ags/jloagb/90394.html
   My bibliography  Save this article

Can We Predict Student Success in Agricultural Economics Graduate Programs?

Author

Listed:
  • Ethridge, Don E.
  • Hudson, Darren

Abstract

Criteria for admission to graduate programs are used by departments and graduate schools to identify characteristics assumed to be associated with “success”. They allow for more uniformity in student ability and preparation so graduate education is more efficient. This study analyzes the relationship between selected student characteristics and experience and two proxies for “success”—graduate GPA and the probability of completing an Agricultural Economics graduate program. Data are from past students in the Department of Agricultural Economics at Texas Tech University. Statistical differences among the means of student characteristics were evaluated, a regression model was estimated to predict graduate GPA, and a logistical regression was estimated to examine the probability of not completing a graduate program. Results show some difference in characteristics between those who complete and do not complete. Graduate GPA is significantly related to citizenship, degree program, quantitative GRE score, and previous program GPA. However, only above-average prior GPA and existence of financial assistance are significantly related to the probability of nor completing a graduate program.

Suggested Citation

  • Ethridge, Don E. & Hudson, Darren, 1996. "Can We Predict Student Success in Agricultural Economics Graduate Programs?," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 14(2), pages 1-15.
  • Handle: RePEc:ags:jloagb:90394
    DOI: 10.22004/ag.econ.90394
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/90394/files/JAB14two3.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.90394?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Seyit Mümin CİLASUN, 2013. "An Analysis of Academic Performance: Could Family Income and Medium of Instruction Be Determinants?," Sosyoekonomi Journal, Sosyoekonomi Society, issue 19(19).
    2. Barkley, Andrew P. & Forst, Jerry J., 2004. "The Determinants of First-Year Academic Performance in the College of Agriculture at Kansas State University, 1990–1999," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 36(2), pages 437-448, August.
    3. Wachenheim, Cheryl J. & Lesch, William C., 2002. "Assessing New-Graduate Applicants: Academic Perceptions And Agribusiness Realities," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 20(2), pages 1-11.

    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:ags:jloagb:90394. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aeaggea.html .

    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.