An Investigation of Selected Academic and Nonacademic Predictor Variables of Academic Performance of Student-athletes at Louisiana State University
Author: Derek Morgan
Publisher:
Published: 2005
Total Pages:
ISBN-13:
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Author: Derek Morgan
Publisher:
Published: 2005
Total Pages:
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Published: 2005
Total Pages: 608
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DOWNLOAD EBOOKAuthor: Mary Allyn Boudreaux
Publisher:
Published: 2004
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKThe National Collegiate Athletic Association through its member institutions has implemented academic standards governing initial athletic eligibility and has led reform initiatives tying the ability to compete athletically to student-athlete retention and graduation. Louisiana State University (LSU), like many Division I institutions, admitted its scholarship athletes using these initial eligibility standards as a minimum qualification for admission. However, as NCAA requirements have become less stringent, the admissions requirements at LSU have increased. Concerns about the retention and graduation of student-athletes and an increasing gap between the academic credentials of the student body and student-athletes led administrators to question the wisdom of this practice. There was a need to determine which variables can best predict the retention and graduation of student-athletes at LSU and whether or not these variables differed from results found in national literature. It was hoped that the predictive models could also be used to bridge the gap between NCAA and university admission standards. This study uses hierarchical logistic regression to predict student-athlete retention and graduation using six sets of pre-college and post-enrollment variables for each dependent variable. High school performance variables, characteristics of the high school attended, achievement test scores, demographic and sport variables were used to develop a pre-college model for both retention and graduation. College performance variables that measured the student-athletes' grade point average (GPA) at three academic milestones were added to these models. Results indicated that two different sets of variables predict retention and graduation of LSU student-athletes. The significant predictors in the pre-college retention model included: High School and English GPA, number of natural science and social science courses taken, total number of academic courses taken, math test score and sport and redshirt variables. The significant predictors in the pre-college graduation model included: High School and English GPA and total number of academic courses taken. In the development of the college performance GPA models, the researcher found that as the student-athlete progressed further in his/her academic career, the less important the pre-college variables became. However, most of the predictive power was attributed to the pre-college variables.
Author: Isaac Brigham
Publisher:
Published: 1981
Total Pages: 160
ISBN-13:
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Published: 1981
Total Pages: 552
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DOWNLOAD EBOOKAuthor: Mary Elizabeth McClelland
Publisher:
Published: 1969
Total Pages: 186
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DOWNLOAD EBOOKAuthor: Bryan S. Maggard
Publisher:
Published: 2007
Total Pages:
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DOWNLOAD EBOOKThe purpose of this study was to identify selected academic variables that may serve as predictors of first semester academic success of at-risk scholarship football student-athletes who matriculated at the University of Missouri during the academic years of 2002-03, 2003-04, and 2004-05. The variables analyzed were high school grade point average (GPA), high school rank, and standardized test score. The results of the study indicated that high school GPA was the only significant predictor of first semester college GPA for at-risk student-athletes accounting for 21 percent of the explained variance.
Author: University Microfilms, Incorporated
Publisher: University Microfilms
Published: 1989
Total Pages: 796
ISBN-13: 9780835708418
DOWNLOAD EBOOKAuthor: Frederick Ladell Pinkney
Publisher:
Published: 2001
Total Pages: 178
ISBN-13:
DOWNLOAD EBOOKAuthor: Eric Matthew Snyder
Publisher:
Published: 2009
Total Pages: 132
ISBN-13:
DOWNLOAD EBOOKNumerous studies have been completed on the academic ability of student athletes. Since the mid 1980s, the NCAA has emphasized the importance of academics and mandated more stringent requirements to be able to participate in intercollegiate athletics. These initial-eligibility standards have been successful in increasing overall graduation rates of student-athletes, but there remain a number of concerns. The purpose of the study was to determine if an NCAA D-I freshman student athlete's place of residency on campus, as opposed to off campus, while attending college during his/her freshman year had a statistically significant relationship to achievement as it relates to academic performance. The continued purpose of the study examined the relationship between selected socio-demographic components to academic performance in NCAA D-I freshman student athletes and how this relationship may have directly related to their academic performance during their freshman year. Participants completed the informed consent along with a questionnaire to aid in determining what academic and socio-demographic variables were related to academic performance (N = 205). Based on the results of this study, it was concluded that living on or off campus had no relationship with how the freshman student athletes performed academically. The best individual correlations with academic performance were high school GPA, gender, and ACT scores. These relationships proved to be a moderate relationship because an R value of .75 or greater was not reached. High school GPA, ethnicity, gender, absences unexcused, and ACT scores did enter a stepwise multiple regression equation, but could only explain 55% of the variance for that equation. Statistically 60% is an acceptable level for predicting academic performance in the study. However, it should be noted that 55% of the variance is relevant for those individuals who deal with the academic performance (i.e., athletic administrators, academic advisors, university faculty, parents, etc.) of student athletes to encourage the use of these variables to predict a student athlete's academic success. The other remaining variables showed only a low or very low relationship to a freshman student athlete's academic performance.