Abstract:This paper examines athletes' grades and graduation rates at an NCAA Division III institution. Thirty-seven per cent of all college athletes compete in Division III, yet this group has received little attention in the literature. Nontransfer student-athletes have higher GPAs than nonathletes, while transfer student-athletes have grades similar to nonathletes. Graduation rates are higher for athletes. Thus, athletic participation does not impair students' academic performance.
“…Sports participation also has a significant effect, increasing the likelihood of on-time graduation by around 10%. This result is consistent with a larger literature, which finds high school sports participation raises graduation rate, increases college attendance, and enhances labor market outcomes (Jordan 1999;Robst and Keil 2000;Barron et al 2000). On the other hand, many of the included behavioral factors negatively affect high school graduation, including fighting, smoking, skipping school, having sex and watching television.…”
Section: Empirical Results and Discussionsupporting
“…Sports participation also has a significant effect, increasing the likelihood of on-time graduation by around 10%. This result is consistent with a larger literature, which finds high school sports participation raises graduation rate, increases college attendance, and enhances labor market outcomes (Jordan 1999;Robst and Keil 2000;Barron et al 2000). On the other hand, many of the included behavioral factors negatively affect high school graduation, including fighting, smoking, skipping school, having sex and watching television.…”
Section: Empirical Results and Discussionsupporting
“…However, students' prior academic achievement has been shown in many empirical studies to be the main influence on how well they perform at university. Studies for the United States that have found a positive relationship between students' university grades and prior academic achievement include Gist et al (1996), Robst and Keil (2000) and Stinebrickner and Stinebrickner (2003). Similar findings have been reported for Australia by Birch and Miller (2005a), Dancer and Fiebig (2004), Dobson and Skuja (2005), Everett and Robins (1991) and Win and Miller (2005), for Canada by Robb and Robb (1999), for the United Kingdom by Johnes (1997), Johnes and McNabb (2004) and Smith and Naylor (2005), and for Singapore by Tay (1994).…”
Students' success during their first year at university is largely influenced by their university entrance score. Personal characteristics and secondary school characteristics also impact on success. This paper uses quantile regression to investigate how the effects of these factors vary along the grade distribution. It finds that the factors which influence grades have a more pronounced impact on the success of low-achieving students than on that of high-achieving students. These results have implications for student selection and also for the way scholarships may be used to attract talented high school students.
“…The relationship between first‐year academic performance and SES differs from the findings in other studies, which indicate a positive relationship between the two variables (e.g. Gramlich & Greenlee, 1993; Robst & Keil, 2000; Win & Miller, 2005). The finding presented in the present paper may be capturing school‐type effects (which cannot be taken into account).…”
This study examines the determinants of taking a ‘gap‐year’ (the decision to take a year off study between completing high school and commencing university) and the subsequent impact of this decision on marks at university. It finds that the main factors influencing students’ decisions on university deferment are their previous academic achievements, age and location. Students who defer university are found to have higher marks than students who commence university directly after completing high school. This mark advantage is more pronounced among low‐performing students, particularly male students, who are in the lower‐half of the university marks distribution.
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