An Investigation of Cognitive and Non-cognitive Variables that Affect Student-athlete Graduation and Retention
An Investigation of Cognitive and Non-cognitive Variables that Affect Student-athlete Graduation and Retention

Author: Lisa D. Campos

Publisher:

Published: 2009

Total Pages: 212

ISBN-13:

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Colleges and universities continue to be held to accountability measures typically related to student graduation rates. Intercollegiate athletic programs are not immune to such accountability measures. For instance, in recent years the National Collegiate Athletic Association adopted the Academic Progress Rate, which holds institutions accountable for the graduation, retention, and eligibility status of its student-athletes. It is the moral obligation of intercollegiate administrators to ensure student-athletes are receiving a quality education culminating in graduation. The recent climate of higher education makes it critical to examine the variables which influence graduation and retention of student-athletes. This study examined student-athletes who entered the University of Texas at El Paso from 1998 to 2001. Using logistic regression analyses, pre-college, demographic, and college variables were investigated to determine which variables influence student-athlete graduation and retention. The independent variables used were: high school core grade point average, scholastic aptitude test score, high school class percentile, ethnicity, gender, parent income level, first semester college grade point average, first year college grade point average, scholarship status, eligibility status, and sport played. Results of the study show, when compared to all other variables, the two most significant variables that predict student-athlete graduation and retention are eligibility status and first-semester grade point average.

Measuring Noncognitive Variables
Measuring Noncognitive Variables

Author: William Sedlacek

Publisher: Taylor & Francis

Published: 2023-07-03

Total Pages: 264

ISBN-13: 1000981282

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Co-published in association with Big Picture Learning.Measuring Noncognitive Variables: Improving Admissions, Success, and Retention for Underrepresented Students is written for admissions professionals, counselors, faculty and advisers who admit, teach, or work with students during the admissions process and post-enrollment period. It brings together theory, research and practice related to noncognitive variables in a practical way by using assessment methods provided at no cost. Noncognitive variables have been shown to correlate with the academic success of students of all races, cultures, and backgrounds. Noncognitive variables include personal and social dimensions, adjustment, motivation, and student perceptions, rather than the traditional verbal and quantitative areas (often called cognitive) typically measured by standardized tests.Key Features include:* Models that raise concepts related to innovation, diversity and racism in proactive ways* Examples of admission and post-enrollment applications that show how schools and programs can use noncognitive variables in a variety of ways * Additional examples from foundations, professional associations, and K-12 programs* An overview of the limitations of traditional assessment methods such as admission tests, grades, and courses takenEducation professionals involved in the admissions process will find this guide effectively informs their practice. This guide is also appropriate as a textbook in a range of courses offered in Higher Education and Student Affairs Masters and PhD programs.

Cognitive, Learning and Study Strategy Predictors of Student-athlete Academic Success and Academic Progress Rates
Cognitive, Learning and Study Strategy Predictors of Student-athlete Academic Success and Academic Progress Rates

Author: Janet Cain Moore

Publisher:

Published: 2014

Total Pages: 188

ISBN-13:

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The purpose of this research was to explore a range of predictor variables believed to influence the academic success of student-athletes as measured by cumulative grade point averages (CGPA) and academic progress rates (APR). This study included 210 scholarship student-athletes participating in intercollegiate athletics at a National Collegiate Athletic Association (NCAA) limited-resource institution. Multiple regression analysis found standardized test scores (Test), high school core grade point averages (HSGPA), the Will composite scale of the Learning and Study Strategies Inventory, 2nd Edition (LASSI-II), gender, and generational status (i.e. first-generation or non-first-generation) to be most predictive of student-athlete cumulative grade point averages (CGPA). Independent t-tests were conducted on all predictor variables in the study and found significant differences between males and females on the variables of HSGPA, Test, and CGPA with female student-athletes scoring higher on all of these measures. Significant differences were also found between first-generation and non-first-generation student-athletes on variables of HSGPA, Test, Skill, Will, and CGPA with non-first-generation student-athletes scoring higher on all of these measures. Student-athletes participating in non-revenue sports had significantly higher scores on the HSGPA, Test, and CGPA variables. Logistic regression analyses using found standardized test scores to be the only predictor variable in this study to consistently contribute to the prediction of APR point loss.

Using Noncognitive Assessment to Predict Academic Success for At-risk Students
Using Noncognitive Assessment to Predict Academic Success for At-risk Students

Author: Paul Orscheln

Publisher:

Published: 2012

Total Pages: 85

ISBN-13:

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The purpose of this study was to determine if noncognitive variables, alone or in combination with standardized test score (ACT or SAT) and/or high school grade point average, can predict student success (first-semester grade point average, first to second year retention and five year graduation rate) for 154 academically at-risk college freshmen admitted into the Conditional Admissions Program (CAP) at the University of Central Missouri for the Fall 2007 semester. In this investigation, student success was defined as a first semester GPA of 2.0 or higher, retaining to the second year and graduating within a five year time frame. Through the six- question short answer-style Insight Resume, noncognitive attributes were evaluated based on each student's life experiences and what they learned from those experiences. Correlations were calculated measuring the relationship between the Insight Resume and the dependent variables. Findings revealed there were only slight correlations between Insight Resume score and earning a first semester GPA of 2.0 or greater, retaining from the first to the second year, and graduating in five years. In addition, logistic regression was used to measure the predictive value of the combination of the Insight Resume scores, HSGPA and composite ACT scores on predicting first semester GPA of 2.0 or higher, retention from year one to year two, or five year graduation rate. Results indicated that there was no indication any of the predictor variables significantly improved the ability to predict earning a first semester GPA of 2.0 or higher or whether a student would retain or graduate.

Predicting Student-athlete Success
Predicting Student-athlete Success

Author: Shanna Lei Autry

Publisher:

Published: 2010

Total Pages: 77

ISBN-13:

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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.

Predicting Student-athlete Academic Success with Preadmission, Social-contextual, and Sport Variables
Predicting Student-athlete Academic Success with Preadmission, Social-contextual, and Sport Variables

Author: Michael Wallace McCall

Publisher:

Published: 2011

Total Pages: 190

ISBN-13:

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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.