Factors Predicting Student Athlete Retention And Attrition In Higher Education
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| Author | : Jong Eun Lee |
| Publisher | : |
| Total Pages | : 91 |
| Release | : 2021 |
| Genre | : College athletes |
| ISBN | : |
Although there has been a growing body of research on student-athlete retention in higher education, no studies to date have conducted a meta-analysis for investigating predictors of student-athlete retention and attrition. Moreover, the results of existing literature indicate that the factors impacting collegiate athletes' retention are mixed. Since student-athletes are from various backgrounds and different types of schools (e.g., Division I, II, III schools, or community colleges), it is crucial to address a generalized and coherent evidence of numerous factors from the multiple independent studies. Toward that end, conducting a meta-analysis is necessary and critical at this stage. Meta-analysis is the most valuable and effective statistical technique to better understand the factors predicting retention for this specialized subgroup of the higher education student population because it illustrates a quantitative summarization of various factors. Furthermore, meta-analysis allows researchers to compare differences between the retention predictors within a group of collegiate student-athletes from diverse backgrounds and different institutions.A total of 85 independent effect sizes were obtained from the 30 studies on various predictors of collegiate student-athlete retention and attrition. The results of the meta-analysis indicate that personal characteristics of student-athletes, including gender and race are strong predictors of their retention and attrition. The characteristic of the institutions in which student-athletes enroll in public or private schools is also important moderators of retention. Academic variables (standardized tests, high school GPA, high school rank, college GPA, and academic integration) are found to significantly correlate with retention and attrition. When it comes to athletic variables, sport types, changing coaches, playing time, and team success are discovered as moderators. Lastly, institutional supports and services are shown to be predictors of retention and attrition.The study aims to provide school administrators, educators, policymakers, and scholars with generalized evidence for promoting student-athlete retention. The findings of this research will allow them to objectively evaluate factors, their effectiveness, and for whom and under what conditions they are effective. Ultimately, practitioners and educators will be able to implement the outcomes of this study to increase collegiate student-athletes' retention in their educational setting.
| Author | : Gloria Jean Cerra |
| Publisher | : |
| Total Pages | : 454 |
| Release | : 1985 |
| Genre | : |
| ISBN | : |
| Author | : Christina A. Rivera |
| Publisher | : |
| Total Pages | : |
| Release | : 2004 |
| Genre | : College athletes |
| ISBN | : |
Abstract: The purpose of this study was to identify the key factors student-athletes perceived to be important in their decision-making to stay in school. To accomplish this purpose, it was necessary to: 1) construct a conceptual model of student-athlete retention based upon the literature associated with traditional student retention and the college student-athlete experience, 2) utilize the conceptual model of student-athlete retention to guide the creation of an instrument that captures student-athlete perceptions of factors important to the retention process, and 3) use exploratory factor analysis to extract meaningful factors underlying the items of the instrument. Participants in this study consisted of 330 NCAA Division I student-athletes attending a large west coast university. Using the Understanding College Student-Athlete Retention Questionnaire developed for this study, data were collected in person during a team meeting for each participating sport. A total of 42 items, one question regarding intent to leave, and 17 demographic questions were included in the questionnaire. The Likert-scaled items were measured on a six-point scale ranging from Not Important (1) to Very Important (6) with the Importance scale referring to how important each statement is to the participant's decision to stay in school. Principal components analysis with VARIMAX rotation extracted a four-factor model. Cronbach's alpha and split-half (Spearman-Brown) reliability coefficients were calculated for the instrument and for each extracted factor. The questionnaire had a reliability coefficient of .930, whereas each factor had a reliability coefficient greater than or equal to .784. Forty-one of the 42 items included in the questionnaire loaded onto one of four factors: Quality of Academic Experience, Quality of Athletic Experience, In-Network Support, and Out-Of-Network Support. These four factors reflect what student-athletes perceived to be important to the student-athlete retention process. Factor scores were also calculated for each factor based on intent to leave. Results indicated that respondents who did not have intentions of leaving school early placed a significantly higher level of importance on the Quality of Academic Experience, whereas respondents who did have intentions of leaving school early placed a significantly higher level of importance on the Quality of Athletic Experience.
| Author | : Rebecca Mitchell Malmo |
| Publisher | : |
| Total Pages | : 286 |
| Release | : 2008 |
| Genre | : Academic achievement |
| ISBN | : |
| Author | : April A. Brecht |
| Publisher | : |
| Total Pages | : 232 |
| Release | : 2014 |
| Genre | : Academic achievement |
| ISBN | : |
| Author | : Michael Wallace McCall |
| Publisher | : |
| Total Pages | : 190 |
| Release | : 2011 |
| Genre | : College athletes |
| ISBN | : |
Universities are required by the NCAA to ensure student-athletes make progress towards earning a degree. In 2004, The NCAA created the Academic Progress Rate (APR) metric to assess if universities were facilitating academic success for student-athletes. Athletic programs that fail to meet an APR score of 925 receive a variety of penalties. These penalties not only hurt the athletic program but also tarnish an institution's image. Predicting which student-athletes are at-risk can provide an opportunity for athletic programs to change procedures to reduce risk. Although the NCAA provides information about APR risk, results are calculated based on aggregated data across a variety of institutions ranging from regional colleges to elite private universities. The risk factors provided by the NCAA may not accurately reflect risk within a specific institution. The present study assessed risk factors related to losing APR points for student-athletes attending a Division I institution in a BCS conference. Archival data were collected from the institution and the NCAA for 829 student-athletes receiving athletic scholarships between 2003-2009 school years. Predictor variables included high school GPA, SAT scores, conditions of admission, SES, race/ethnicity, sex, playing time, red shirting, distance from home, and sport risk. Results of the analysis indicate that male and female student-athletes have different risk factors and should be analyzed separately. There is an interesting relationship between high school GPA and SAT scores for minority student-athletes. Finally, a combination of preadmission, social-contextual, and sport variables were associated with student-athletes at-risk for losing APR points.
| Author | : Mary Allyn Boudreaux |
| Publisher | : |
| Total Pages | : 456 |
| Release | : 2004 |
| Genre | : Academic achievement |
| ISBN | : |
The 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 | : Rebecca Jean Kayda |
| Publisher | : |
| Total Pages | : 86 |
| Release | : 2021 |
| Genre | : College athletes |
| ISBN | : |
This quantitative, correlational study examined whether gender, sport-type, and sport attrition can predict university attrition of student-athletes from a small, private, NCAA DIII institution. Student-athletes attending DIII institutions are considered a vulnerable population and are largely under-studied. Participation in extra-curricular activities, such as belonging to an athletics team, has been linked to higher rates of social integration on campus and smoother transitions into college life overall. This participation has not been shown to decrease academic performance; however, university attrition of student-athletes remains a problem. This problem is especially relevant in smaller schools, where a small percentage of student attrition can create a sizable change in both revenue and campus climate. Student-athletes from a single institution (N = 409) made up the sample, with data being collected through archival data from the university. This study employed a logistic regression to analyze the data and determine the predictive association of gender, sport-type, and sport attrition on university attrition. Future studies should consider qualitative follow-up with student-athletes who have left their institution to determine whether there are more important factors in attrition that should be examined.
| Author | : Shanna Lei Autry |
| Publisher | : |
| Total Pages | : 77 |
| Release | : 2010 |
| Genre | : |
| ISBN | : |
ABSTRACT: Student-athletes are a highly visible subgroup of students whose performance and visibility can influence the formation of an institution's image (Zimbalist, 1999). Research must continue to advance understanding of the variables that lead to student-athlete academic success in order to enhance opportunities for student-athletes, improve institutional performance, and address important national priorities for intercollegiate athletics and higher education. The purpose of this study is to identify those precollege and college experience variables that influence student-athlete success at a major Division I institution in the Southeastern United States during a three year period from 2000 to 2003. Study variables included: race; gender; residency; high school grade point average; SAT composite score; scholarship amount; classification; major; Pell Grant eligibility; GPA for each of the first three semesters; number of degree hours each of the first three semesters; number of withdrawals for each of the first three semesters; and participation in an enrichment program.
| Author | : Jake R. Sutter |
| Publisher | : |
| Total Pages | : 108 |
| Release | : 2019 |
| Genre | : Education |
| ISBN | : |
