Predicting Acdemic Success among Student-Athletes
dc.citation.issn | 0897-165X | |
dc.citation.issue | Spring/1 | |
dc.citation.jtitle | Academic Athletic Journal | |
dc.citation.volume | 5 | |
dc.contributor.author | Cone, Alison E. | |
dc.contributor.author | Rosenbaum, Jill L. | |
dc.date.accessioned | 2023-04-21T14:42:15Z | |
dc.date.available | 2023-04-21T14:42:15Z | |
dc.date.issued | 1990 | |
dc.date.published | 1990 | |
dc.description.abstract | This paper examined various measures that may be useful in predicting graduation among student-athletes. Rather than simply focus on the most·commonly used measures (SAT scores and high school grade point average) four groups of variables were utilized: demographics, high school prepara-tion, university-related variables, and athletic participation fpr 105 student records at one institution. Both bivariate and multivariate measures indicated that demographic and high school preparation variables were the most beneficial in predicting success among student-athletes. Perhaps the most significant finding was that when included in the regression analysis with other high school preparation variables, SAT scores were not significantly related to graduation. The most significant variables were high school grade point average and the number of college preparatory math classes taken. | |
dc.identifier.uri | https://hdl.handle.net/2097/43217 | |
dc.rights | This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | academic predictors | |
dc.subject | academic support | |
dc.subject | math | |
dc.subject | academic performance | |
dc.title | Predicting Acdemic Success among Student-Athletes | |
dc.type | Text |