Advising Student-Athletes for Success: Predicting the Academic Success and Persistence of Collegiate Student-Athletes

April A. Brecht, Dana D. Burnett
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引用次数: 10

Abstract

Stakeholders at institutions across the United States are continuously looking for ways to improve the academic success and retention of students. We used logistical regression in an examination of noncognitive, cognitive, and demographic factors as predictors of academic success and retention of Division I first-year student-athletes. The results indicated that high school GPA is the best predictor for academic success. The Transition to College Inventory index, self-confidence, institutional commitment, and independent activity focus can be used in the prediction of academic success. Retention was most accurately predicted by students' first-year cumulative GPA. University advisors can use the results of this study to enhance the resources designed to improve the academic performance and persistence of student-athletes.
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为学生运动员的成功提供建议:预测大学学生运动员的学业成功和坚持
美国各院校的利益相关者一直在寻找提高学业成绩和学生留校率的方法。我们使用逻辑回归来检验非认知、认知和人口因素作为学业成功和一年级学生运动员留校的预测因素。结果表明,高中GPA是学业成功的最佳预测指标。过渡到大学的库存指数,自信,机构承诺,和独立的活动焦点可以用来预测学业成功。学生第一年的累积GPA最准确地预测了留校率。大学顾问可以利用本研究的结果来增加旨在提高学生运动员学业成绩和坚持不懈的资源。
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