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Can We Predict Student Success in Agricultural Economics Graduate Programs?

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Author Info

  • 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 “successâ€. 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 “successâ€â€”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.

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File URL: http://purl.umn.edu/90394
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Bibliographic Info

Article provided by Agricultural Economics Association of Georgia in its journal Journal of Agribusiness.

Volume (Year): 14 (1996)
Issue (Month): 2 ()
Pages:

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Handle: RePEc:ags:jloagb:90394

Contact details of provider:
Postal: 301 Conner Hall, University of Georgia, Athens, GA 30602-7509
Web page: http://www.agecon.uga.edu/~jab/
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Related research

Keywords: Graduate admissions; GRE scores; GPA; Logistical regression; Agribusiness; Teaching/Communication/Extension/Profession;

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Cited by:
  1. 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).

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